{"id":83025,"date":"2024-07-05T03:13:38","date_gmt":"2024-07-05T03:13:38","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=83025"},"modified":"2024-07-05T03:13:43","modified_gmt":"2024-07-05T03:13:43","slug":"what-is-the-difference-between-the-databricks-certified-professional-data-engineer-and-databricks-certified-data-engineer-professional","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/what-is-the-difference-between-the-databricks-certified-professional-data-engineer-and-databricks-certified-data-engineer-professional.html","title":{"rendered":"What is the Difference between the Databricks Certified Professional Data Engineer and Databricks Certified Data Engineer Professional?"},"content":{"rendered":"\n<p>When searching for online study materials to prepare for your Databricks Certified Data Engineer Professional Exam at DumpsBase, you may find two pages:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.dumpsbase.com\/databricks-certified-data-engineer-professional.html\"><em><strong>Databricks Certified Data Engineer Professional<\/strong><\/em><\/a> Dumps<\/li>\n<li><a href=\"https:\/\/www.dumpsbase.com\/databricks-certified-professional-data-engineer.html\"><em><strong>Databricks Certified Professional Data Engineer<\/strong><\/em><\/a> Dumps<\/li>\n<\/ul>\n<p>Both of the two exams are related to the Databricks Certified Data Engineer Professional Exam, so what is the difference between them? They are the same and both are for your Databricks Certified Data Engineer Professional Exam. DumpsBase just set two different keywords according to the customers\u2019 requirements for searching.<\/p>\n<p>Furthermore, we have updated the Databricks Certified Professional Data Engineer dumps to V10.02, also the Databricks Certified Data Engineer Professional dumps to V10.02, with 120 practice questions and answers for your learning. The most updated dumps of DumpsBase are specifically designed to prepare you thoroughly, ensuring you pass the Databricks Certified Data Engineer Professional Exam on your first try.<\/p>\n<p><!-- notionvc: 8082994b-3429-4735-ad2e-ea875db5c713 --><\/p>\n<h2>Check <em><span style=\"background-color: #00ffff;\">Databricks Certified Data Engineer Professional Exam Free Dumps Below<\/span><\/em><\/h2>\n<script>\n\t  window.fbAsyncInit = function() {\n\t    FB.init({\n\t      appId            : '622169541470367',\n\t      autoLogAppEvents : true,\n\t      xfbml            : true,\n\t      version          : 'v3.1'\n\t    });\n\t  };\n\t\n\t  (function(d, s, id){\n\t     var js, fjs = d.getElementsByTagName(s)[0];\n\t     if (d.getElementById(id)) {return;}\n\t     js = d.createElement(s); js.id = id;\n\t     js.src = \"https:\/\/connect.facebook.net\/en_US\/sdk.js\";\n\t     fjs.parentNode.insertBefore(js, fjs);\n\t   }(document, 'script', 'facebook-jssdk'));\n\t<\/script><script type=\"text\/javascript\" >\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \nif(!window.jQuery) alert(\"The important jQuery library is not properly loaded in your site. Your WordPress theme is probably missing the essential wp_head() call. You can switch to another theme and you will see that the plugin works fine and this notice disappears. If you are still not sure what to do you can contact us for help.\");\n});\n<\/script>  \n  \n<div  id=\"watupro_quiz\" class=\"quiz-area single-page-quiz\">\n<p id=\"submittingExam8732\" style=\"display:none;text-align:center;\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\"><\/p>\n\n<div class=\"watupro-exam-description\" id=\"description-quiz-8732\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-8732\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-339602'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>An upstream system has been configured to pass the date for a given batch of data to the Databricks Jobs API as a parameter. <br \/>\r<br>The notebook to be scheduled will use this parameter to load data with the following code: <br \/>\r<br>df = spark.read.format(&quot;parquet&quot;).load(f&quot;\/mnt\/source\/(date)&quot;) <br \/>\r<br>Which code block should be used to create the date Python variable used in the above code block?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='339602' \/><input type='hidden' id='answerType339602' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339602[]' id='answer-id-1328573' class='answer   answerof-339602 ' value='1328573'   \/><label for='answer-id-1328573' id='answer-label-1328573' class=' answer'><span>date = spark.conf.get(&quot;date&quot;)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339602[]' id='answer-id-1328574' class='answer   answerof-339602 ' value='1328574'   \/><label for='answer-id-1328574' id='answer-label-1328574' class=' answer'><span>input_dict = input() \r\ndate= input_dict[&quot;date&quot;]<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339602[]' id='answer-id-1328575' class='answer   answerof-339602 ' value='1328575'   \/><label for='answer-id-1328575' id='answer-label-1328575' class=' answer'><span>import sys \r\ndate = sys.argv[1]<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339602[]' id='answer-id-1328576' class='answer   answerof-339602 ' value='1328576'   \/><label for='answer-id-1328576' id='answer-label-1328576' class=' answer'><span>date = dbutils.notebooks.getParam(&quot;date&quot;)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339602[]' id='answer-id-1328577' class='answer   answerof-339602 ' value='1328577'   \/><label for='answer-id-1328577' id='answer-label-1328577' class=' answer'><span>dbutils.widgets.text(&quot;date&quot;, &quot;null&quot;) \r\ndate = dbutils.widgets.get(&quot;date&quot;)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-2' style=';'><div id='questionWrap-2'  class='   watupro-question-id-339603'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>The Databricks workspace administrator has configured interactive clusters for each of the data engineering groups. To control costs, clusters are set to terminate after 30 minutes of inactivity. Each user should be able to execute workloads against their assigned clusters at any time of the day. <br \/>\r<br>Assuming users have been added to a workspace but not granted any permissions, which of the following describes the minimal permissions a user would need to start and attach to an already configured cluster.<\/div><input type='hidden' name='question_id[]' id='qID_2' value='339603' \/><input type='hidden' id='answerType339603' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339603[]' id='answer-id-1328578' class='answer   answerof-339603 ' value='1328578'   \/><label for='answer-id-1328578' id='answer-label-1328578' class=' answer'><span>&quot;Can Manage&quot; privileges on the required cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339603[]' id='answer-id-1328579' class='answer   answerof-339603 ' value='1328579'   \/><label for='answer-id-1328579' id='answer-label-1328579' class=' answer'><span>Workspace Admin privileges, cluster creation allowed. &quot;Can Attach To&quot; privileges on the required cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339603[]' id='answer-id-1328580' class='answer   answerof-339603 ' value='1328580'   \/><label for='answer-id-1328580' id='answer-label-1328580' class=' answer'><span>Cluster creation allowed. &quot;Can Attach To&quot; privileges on the required cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339603[]' id='answer-id-1328581' class='answer   answerof-339603 ' value='1328581'   \/><label for='answer-id-1328581' id='answer-label-1328581' class=' answer'><span>&quot;Can Restart&quot; privileges on the required cluster<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339603[]' id='answer-id-1328582' class='answer   answerof-339603 ' value='1328582'   \/><label for='answer-id-1328582' id='answer-label-1328582' class=' answer'><span>Cluster creation allowed. &quot;Can Restart&quot; privileges on the required cluster<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-3' style=';'><div id='questionWrap-3'  class='   watupro-question-id-339604'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='339604' \/><input type='hidden' id='answerType339604' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339604[]' id='answer-id-1328583' class='answer   answerof-339604 ' value='1328583'   \/><label for='answer-id-1328583' id='answer-label-1328583' class=' answer'><span>Cluster: New Job Cluster; \r\nRetries: Unlimited; \r\nMaximum Concurrent Runs: Unlimited<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339604[]' id='answer-id-1328584' class='answer   answerof-339604 ' value='1328584'   \/><label for='answer-id-1328584' id='answer-label-1328584' class=' answer'><span>Cluster: New Job Cluster; \r\nRetries: None; \r\nMaximum Concurrent Runs: 1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339604[]' id='answer-id-1328585' class='answer   answerof-339604 ' value='1328585'   \/><label for='answer-id-1328585' id='answer-label-1328585' class=' answer'><span>Cluster: Existing All-Purpose Cluster; Retries: Unlimited; \r\nMaximum Concurrent Runs: 1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339604[]' id='answer-id-1328586' class='answer   answerof-339604 ' value='1328586'   \/><label for='answer-id-1328586' id='answer-label-1328586' class=' answer'><span>Cluster: Existing All-Purpose Cluster; Retries: Unlimited; \r\nMaximum Concurrent Runs: 1<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339604[]' id='answer-id-1328587' class='answer   answerof-339604 ' value='1328587'   \/><label for='answer-id-1328587' id='answer-label-1328587' class=' answer'><span>Cluster: Existing All-Purpose Cluster; Retries: None; \r\nMaximum Concurrent Runs: 1<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-4' style=';'><div id='questionWrap-4'  class='   watupro-question-id-339605'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>The data engineering team has configured a Databricks SQL query and alert to monitor the values in <br \/>\r<br>a Delta Lake table. The recent_sensor_recordings table contains an identifying sensor_id alongside the timestamp and temperature for the most recent 5 minutes of recordings. <br \/>\r<br>The below query is used to create the alert: <br \/>\r<br><br><img decoding=\"async\" width=572 height=51 id=\"\u56fe\u7247 33\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image002-26.jpg\"><br><br \/>\r<br>The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger when mean (temperature) &gt; 120. Notifications are triggered to be sent at most every 1 minute. <br \/>\r<br>If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='339605' \/><input type='hidden' id='answerType339605' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339605[]' id='answer-id-1328588' class='answer   answerof-339605 ' value='1328588'   \/><label for='answer-id-1328588' id='answer-label-1328588' class=' answer'><span>The total average temperature across all sensors exceeded 120 on three consecutive executions of the query<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339605[]' id='answer-id-1328589' class='answer   answerof-339605 ' value='1328589'   \/><label for='answer-id-1328589' id='answer-label-1328589' class=' answer'><span>The recent_sensor_recordingstable was unresponsive for three consecutive runs of the query<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339605[]' id='answer-id-1328590' class='answer   answerof-339605 ' value='1328590'   \/><label for='answer-id-1328590' id='answer-label-1328590' class=' answer'><span>The source query failed to update properly for three consecutive minutes and then restarted<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339605[]' id='answer-id-1328591' class='answer   answerof-339605 ' value='1328591'   \/><label for='answer-id-1328591' id='answer-label-1328591' class=' answer'><span>The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339605[]' id='answer-id-1328592' class='answer   answerof-339605 ' value='1328592'   \/><label for='answer-id-1328592' id='answer-label-1328592' class=' answer'><span>The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-5' style=';'><div id='questionWrap-5'  class='   watupro-question-id-339606'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown. <br \/>\r<br>Which approach will allow this developer to review the current logic for this notebook?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='339606' \/><input type='hidden' id='answerType339606' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339606[]' id='answer-id-1328593' class='answer   answerof-339606 ' value='1328593'   \/><label for='answer-id-1328593' id='answer-label-1328593' class=' answer'><span>Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339606[]' id='answer-id-1328594' class='answer   answerof-339606 ' value='1328594'   \/><label for='answer-id-1328594' id='answer-label-1328594' class=' answer'><span>Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339606[]' id='answer-id-1328595' class='answer   answerof-339606 ' value='1328595'   \/><label for='answer-id-1328595' id='answer-label-1328595' class=' answer'><span>Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339606[]' id='answer-id-1328596' class='answer   answerof-339606 ' value='1328596'   \/><label for='answer-id-1328596' id='answer-label-1328596' class=' answer'><span>Merge all changes back to the main branch in the remote Git repository and clone the repo again<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339606[]' id='answer-id-1328597' class='answer   answerof-339606 ' value='1328597'   \/><label for='answer-id-1328597' id='answer-label-1328597' class=' answer'><span>Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-6' style=';'><div id='questionWrap-6'  class='   watupro-question-id-339607'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>The security team is exploring whether or not the Databricks secrets module can be leveraged for connecting to an external database. <br \/>\r<br>After testing the code with all Python variables being defined with strings, they upload the password to the secrets module and configure the correct permissions for the currently active user. They then modify their code to the following (leaving all other variables unchanged). <br \/>\r<br><br><img decoding=\"async\" width=565 height=226 id=\"\u56fe\u7247 32\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image003-25.jpg\"><br><br \/>\r<br>Which statement describes what will happen when the above code is executed?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='339607' \/><input type='hidden' id='answerType339607' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339607[]' id='answer-id-1328598' class='answer   answerof-339607 ' value='1328598'   \/><label for='answer-id-1328598' id='answer-label-1328598' class=' answer'><span>The connection to the external table will fail; the string &quot;redacted&quot; will be printed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339607[]' id='answer-id-1328599' class='answer   answerof-339607 ' value='1328599'   \/><label for='answer-id-1328599' id='answer-label-1328599' class=' answer'><span>An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the encoded password will be saved to DBF<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339607[]' id='answer-id-1328600' class='answer   answerof-339607 ' value='1328600'   \/><label for='answer-id-1328600' id='answer-label-1328600' class=' answer'><span>An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the password will be printed in plain text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339607[]' id='answer-id-1328601' class='answer   answerof-339607 ' value='1328601'   \/><label for='answer-id-1328601' id='answer-label-1328601' class=' answer'><span>The connection to the external table will succeed; the string value of password will be printed in plain text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339607[]' id='answer-id-1328602' class='answer   answerof-339607 ' value='1328602'   \/><label for='answer-id-1328602' id='answer-label-1328602' class=' answer'><span>The connection to the external table will succeed; the string &quot;redacted&quot; will be printed.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-7' style=';'><div id='questionWrap-7'  class='   watupro-question-id-339608'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>The data science team has created and logged a production model using MLflow. The following code correctly imports and applies the production model to output the predictions as a new DataFrame named preds with the schema &quot;customer_id LONG, predictions DOUBLE, date DATE&quot;. <br \/>\r<br><br><img decoding=\"async\" width=596 height=195 id=\"\u56fe\u7247 31\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image004-22.jpg\"><br><br \/>\r<br>The data science team would like predictions saved to a Delta Lake table with the ability to compare all predictions across time. Churn predictions will be made at most once per day. <br \/>\r<br>Which code block accomplishes this task while minimizing potential compute costs? <br \/>\r<br>A) preds.write.mode(&quot;append&quot;).saveAsTable(&quot;churn_preds&quot;) <br \/>\r<br>B) preds.write.format(&quot;delta&quot;).save(&quot;\/preds\/churn_preds&quot;) <br \/>\r<br>C) <br \/>\r<br><br><img decoding=\"async\" width=416 height=93 id=\"\u56fe\u7247 30\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image005-18.jpg\"><br><br \/>\r<br>D) <br \/>\r<br><br><img decoding=\"async\" width=213 height=91 id=\"\u56fe\u7247 29\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image006-16.jpg\"><br><br \/>\r<br>E) <br \/>\r<br><br><img decoding=\"async\" width=413 height=90 id=\"\u56fe\u7247 28\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image007-16.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_7' value='339608' \/><input type='hidden' id='answerType339608' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339608[]' id='answer-id-1328603' class='answer   answerof-339608 ' value='1328603'   \/><label for='answer-id-1328603' id='answer-label-1328603' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339608[]' id='answer-id-1328604' class='answer   answerof-339608 ' value='1328604'   \/><label for='answer-id-1328604' id='answer-label-1328604' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339608[]' id='answer-id-1328605' class='answer   answerof-339608 ' value='1328605'   \/><label for='answer-id-1328605' id='answer-label-1328605' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339608[]' id='answer-id-1328606' class='answer   answerof-339608 ' value='1328606'   \/><label for='answer-id-1328606' id='answer-label-1328606' class=' answer'><span>Option D<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339608[]' id='answer-id-1328607' class='answer   answerof-339608 ' value='1328607'   \/><label for='answer-id-1328607' id='answer-label-1328607' class=' answer'><span>Option E<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-8' style=';'><div id='questionWrap-8'  class='   watupro-question-id-339609'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>An upstream source writes Parquet data as hourly batches to directories named with the current date. <br \/>\r<br>A nightly batch job runs the following code to ingest all data from the previous day as indicated by the date variable: <br \/>\r<br><br><img decoding=\"async\" width=373 height=149 id=\"\u56fe\u7247 27\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image008-15.jpg\"><br><br \/>\r<br>Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order. <br \/>\r<br>If the upstream system is known to occasionally produce duplicate entries for a single order hours apart, which statement is correct?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='339609' \/><input type='hidden' id='answerType339609' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339609[]' id='answer-id-1328608' class='answer   answerof-339609 ' value='1328608'   \/><label for='answer-id-1328608' id='answer-label-1328608' class=' answer'><span>Each write to the orders table will only contain unique records, and only those records without duplicates in the target table will be written.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339609[]' id='answer-id-1328609' class='answer   answerof-339609 ' value='1328609'   \/><label for='answer-id-1328609' id='answer-label-1328609' class=' answer'><span>Each write to the orders table will only contain unique records, but newly written records may have duplicates already present in the target table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339609[]' id='answer-id-1328610' class='answer   answerof-339609 ' value='1328610'   \/><label for='answer-id-1328610' id='answer-label-1328610' class=' answer'><span>Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, these records will be overwritten.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339609[]' id='answer-id-1328611' class='answer   answerof-339609 ' value='1328611'   \/><label for='answer-id-1328611' id='answer-label-1328611' class=' answer'><span>Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, the operation will tail.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339609[]' id='answer-id-1328612' class='answer   answerof-339609 ' value='1328612'   \/><label for='answer-id-1328612' id='answer-label-1328612' class=' answer'><span>Each write to the orders table will run deduplication over the union of new and existing records, \r\nensuring no duplicate records are present.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-9' style=';'><div id='questionWrap-9'  class='   watupro-question-id-339610'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>A junior member of the data engineering team is exploring the language interoperability of Databricks notebooks. The intended outcome of the below code is to register a view of all sales that occurred in countries on the continent of Africa that appear in the geo_lookup table. <br \/>\r<br>Before executing the code, running SHOW TABLES on the current database indicates the database contains only two tables: geo_lookup and sales. <br \/>\r<br><br><img decoding=\"async\" width=647 height=222 id=\"\u56fe\u7247 26\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image009-14.jpg\"><br><br \/>\r<br>Which statement correctly describes the outcome of executing these command cells in order in an interactive notebook?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='339610' \/><input type='hidden' id='answerType339610' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339610[]' id='answer-id-1328613' class='answer   answerof-339610 ' value='1328613'   \/><label for='answer-id-1328613' id='answer-label-1328613' class=' answer'><span>Both commands will succeed. Executing show tables will show that countries at and sales at have been registered as views.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339610[]' id='answer-id-1328614' class='answer   answerof-339610 ' value='1328614'   \/><label for='answer-id-1328614' id='answer-label-1328614' class=' answer'><span>Cmd 1 will succeed. Cmd 2 will search all accessible databases for a table or view named countries af: if this entity exists, Cmd 2 will succeed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339610[]' id='answer-id-1328615' class='answer   answerof-339610 ' value='1328615'   \/><label for='answer-id-1328615' id='answer-label-1328615' class=' answer'><span>Cmd 1 will succeed and Cmd 2 will fail, countries at will be a Python variable representing a PySpark DataFrame.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339610[]' id='answer-id-1328616' class='answer   answerof-339610 ' value='1328616'   \/><label for='answer-id-1328616' id='answer-label-1328616' class=' answer'><span>Both commands will fail. No new variables, tables, or views will be created.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339610[]' id='answer-id-1328617' class='answer   answerof-339610 ' value='1328617'   \/><label for='answer-id-1328617' id='answer-label-1328617' class=' answer'><span>Cmd 1 will succeed and Cmd 2 will fail, countries at will be a Python variable containing a list of strings.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-10' style=';'><div id='questionWrap-10'  class='   watupro-question-id-339611'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>A Delta table of weather records is partitioned by date and has the below schema: <br \/>\r<br>date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT <br \/>\r<br>To find all the records from within the Arctic Circle, you execute a query with the below filter: <br \/>\r<br>latitude &gt; 66.3 <br \/>\r<br>Which statement describes how the Delta engine identifies which files to load?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='339611' \/><input type='hidden' id='answerType339611' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339611[]' id='answer-id-1328618' class='answer   answerof-339611 ' value='1328618'   \/><label for='answer-id-1328618' id='answer-label-1328618' class=' answer'><span>All records are cached to an operational database and then the filter is applied<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339611[]' id='answer-id-1328619' class='answer   answerof-339611 ' value='1328619'   \/><label for='answer-id-1328619' id='answer-label-1328619' class=' answer'><span>The Parquet file footers are scanned for min and max statistics for the latitude column<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339611[]' id='answer-id-1328620' class='answer   answerof-339611 ' value='1328620'   \/><label for='answer-id-1328620' id='answer-label-1328620' class=' answer'><span>All records are cached to attached storage and then the filter is applied<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339611[]' id='answer-id-1328621' class='answer   answerof-339611 ' value='1328621'   \/><label for='answer-id-1328621' id='answer-label-1328621' class=' answer'><span>The Delta log is scanned for min and max statistics for the latitude column<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339611[]' id='answer-id-1328622' class='answer   answerof-339611 ' value='1328622'   \/><label for='answer-id-1328622' id='answer-label-1328622' class=' answer'><span>The Hive metastore is scanned for min and max statistics for the latitude column<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-11' style=';'><div id='questionWrap-11'  class='   watupro-question-id-339612'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>The data engineering team has configured a job to process customer requests to be forgotten (have their data deleted). All user data that needs to be deleted is stored in Delta Lake tables using default table settings. <br \/>\r<br>The team has decided to process all deletions from the previous week as a batch job at 1am each Sunday. The total duration of this job is less than one hour. Every Monday at 3am, a batch job executes a series of VACUUM commands on all Delta Lake tables throughout the organization. <br \/>\r<br>The compliance officer has recently learned about Delta Lake's time travel functionality. They are concerned that this might allow continued access to deleted data. <br \/>\r<br>Assuming all delete logic is correctly implemented, which statement correctly addresses this concern?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='339612' \/><input type='hidden' id='answerType339612' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339612[]' id='answer-id-1328623' class='answer   answerof-339612 ' value='1328623'   \/><label for='answer-id-1328623' id='answer-label-1328623' class=' answer'><span>Because the vacuum command permanently deletes all files containing deleted records, deleted records may be accessible with time travel for around 24 hours.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339612[]' id='answer-id-1328624' class='answer   answerof-339612 ' value='1328624'   \/><label for='answer-id-1328624' id='answer-label-1328624' class=' answer'><span>Because the default data retention threshold is 24 hours, data files containing deleted records will be retained until the vacuum job is run the following day.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339612[]' id='answer-id-1328625' class='answer   answerof-339612 ' value='1328625'   \/><label for='answer-id-1328625' id='answer-label-1328625' class=' answer'><span>Because Delta Lake time travel provides full access to the entire history of a table, deleted records can always be recreated by users with full admin privileges.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339612[]' id='answer-id-1328626' class='answer   answerof-339612 ' value='1328626'   \/><label for='answer-id-1328626' id='answer-label-1328626' class=' answer'><span>Because Delta Lake's delete statements have ACID guarantees, deleted records will be permanently purged from all storage systems as soon as a delete job completes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339612[]' id='answer-id-1328627' class='answer   answerof-339612 ' value='1328627'   \/><label for='answer-id-1328627' id='answer-label-1328627' class=' answer'><span>Because the default data retention threshold is 7 days, data files containing deleted records will be retained until the vacuum job is run 8 days later.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-12' style=';'><div id='questionWrap-12'  class='   watupro-question-id-339613'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0\/jobs\/create. <br \/>\r<br><br><img decoding=\"async\" width=406 height=134 id=\"\u56fe\u7247 25\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image010-11.jpg\"><br><br \/>\r<br>Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='339613' \/><input type='hidden' id='answerType339613' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339613[]' id='answer-id-1328628' class='answer   answerof-339613 ' value='1328628'   \/><label for='answer-id-1328628' id='answer-label-1328628' class=' answer'><span>Three new jobs named &quot;Ingest new data&quot; will be defined in the workspace, and they will each run once daily.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339613[]' id='answer-id-1328629' class='answer   answerof-339613 ' value='1328629'   \/><label for='answer-id-1328629' id='answer-label-1328629' class=' answer'><span>The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster I<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339613[]' id='answer-id-1328630' class='answer   answerof-339613 ' value='1328630'   \/><label for='answer-id-1328630' id='answer-label-1328630' class=' answer'><span>Three new jobs named &quot;Ingest new data&quot; will be defined in the workspace, but no jobs will be executed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339613[]' id='answer-id-1328631' class='answer   answerof-339613 ' value='1328631'   \/><label for='answer-id-1328631' id='answer-label-1328631' class=' answer'><span>One new job named &quot;Ingest new data&quot; will be defined in the workspace, but it will not be executed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339613[]' id='answer-id-1328632' class='answer   answerof-339613 ' value='1328632'   \/><label for='answer-id-1328632' id='answer-label-1328632' class=' answer'><span>The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-13' style=';'><div id='questionWrap-13'  class='   watupro-question-id-339614'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>An upstream system is emitting change data capture (CDC) logs that are being written to a cloud object storage directory. Each record in the log indicates the change type (insert, update, or delete) and the values for each field after the change. The source table has a primary key identified by the field pk_id. <br \/>\r<br>For auditing purposes, the data governance team wishes to maintain a full record of all values that have ever been valid in the source system. For analytical purposes, only the most recent value for each record needs to be recorded. The Databricks job to ingest these records occurs once per hour, but each individual record may have changed multiple times over the course of an hour. <br \/>\r<br>Which solution meets these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='339614' \/><input type='hidden' id='answerType339614' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339614[]' id='answer-id-1328633' class='answer   answerof-339614 ' value='1328633'   \/><label for='answer-id-1328633' id='answer-label-1328633' class=' answer'><span>Create a separate history table for each pk_id resolve the current state of the table by running a union all filtering the history tables for the most recent state.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339614[]' id='answer-id-1328634' class='answer   answerof-339614 ' value='1328634'   \/><label for='answer-id-1328634' id='answer-label-1328634' class=' answer'><span>Use merge into to insert, update, or delete the most recent entry for each pk_id into a bronze table, then propagate all changes throughout the system.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339614[]' id='answer-id-1328635' class='answer   answerof-339614 ' value='1328635'   \/><label for='answer-id-1328635' id='answer-label-1328635' class=' answer'><span>Iterate through an ordered set of changes to the table, applying each in turn; rely on Delta Lake's versioning ability to create an audit log.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339614[]' id='answer-id-1328636' class='answer   answerof-339614 ' value='1328636'   \/><label for='answer-id-1328636' id='answer-label-1328636' class=' answer'><span>Use Delta Lake's change data feed to automatically process CDC data from an external system, propagating all changes to all dependent tables in the Lakehouse.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339614[]' id='answer-id-1328637' class='answer   answerof-339614 ' value='1328637'   \/><label for='answer-id-1328637' id='answer-label-1328637' class=' answer'><span>Ingest all log information into a bronze table; use merge into to insert, update, or delete the most recent entry for each pk_id into a silver table to recreate the current table state.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-14' style=';'><div id='questionWrap-14'  class='   watupro-question-id-339615'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>An hourly batch job is configured to ingest data files from a cloud object storage container where each batch represent all records produced by the source system in a given hour. The batch job to process these records into the Lakehouse is sufficiently delayed to ensure no late-arriving data is missed. <br \/>\r<br>The user_id field represents a unique key for the data, which has the following schema: <br \/>\r<br>user_id BIGINT, username STRING, user_utc STRING, user_region STRING, last_login BIGINT, auto_pay BOOLEAN, last_updated BIGINT <br \/>\r<br>New records are all ingested into a table named account_history which maintains a full record of all data in the same schema as the source. The next table in the system is named account_current and is implemented as a Type 1 table representing the most recent value for each unique user_id. <br \/>\r<br>Assuming there are millions of user accounts and tens of thousands of records processed hourly, which implementation can be used to efficiently update the described account_current table as part of each hourly batch job?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='339615' \/><input type='hidden' id='answerType339615' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339615[]' id='answer-id-1328638' class='answer   answerof-339615 ' value='1328638'   \/><label for='answer-id-1328638' id='answer-label-1328638' class=' answer'><span>Use Auto Loader to subscribe to new files in the account history directory; configure a Structured Streaminq trigger once job to batch update newly detected files into the account current table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339615[]' id='answer-id-1328639' class='answer   answerof-339615 ' value='1328639'   \/><label for='answer-id-1328639' id='answer-label-1328639' class=' answer'><span>Overwrite the account current table with each batch using the results of a query against the account history table grouping by user id and filtering for the max value of last updated.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339615[]' id='answer-id-1328640' class='answer   answerof-339615 ' value='1328640'   \/><label for='answer-id-1328640' id='answer-label-1328640' class=' answer'><span>Filter records in account history using the last updated field and the most recent hour processed, as well as the max last iogin by user id write a merge statement to update or insert the most recent \r\nvalue for each user id.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339615[]' id='answer-id-1328641' class='answer   answerof-339615 ' value='1328641'   \/><label for='answer-id-1328641' id='answer-label-1328641' class=' answer'><span>Use Delta Lake version history to get the difference between the latest version of account history and one version prior, then write these records to account current.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339615[]' id='answer-id-1328642' class='answer   answerof-339615 ' value='1328642'   \/><label for='answer-id-1328642' id='answer-label-1328642' class=' answer'><span>Filter records in account history using the last updated field and the most recent hour processed, making sure to deduplicate on username; write a merge statement to update or insert the most recent value for each username.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-15' style=';'><div id='questionWrap-15'  class='   watupro-question-id-339616'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>A table in the Lakehouse named customer_churn_params is used in churn prediction by the machine learning team. The table contains information about customers derived from a number of upstream sources. Currently, the data engineering team populates this table nightly by overwriting the table with the current valid values derived from upstream data sources. <br \/>\r<br>The churn prediction model used by the ML team is fairly stable in production. The team is only interested in making predictions on records that have changed in the past 24 hours. <br \/>\r<br>Which approach would simplify the identification of these changed records?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='339616' \/><input type='hidden' id='answerType339616' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339616[]' id='answer-id-1328643' class='answer   answerof-339616 ' value='1328643'   \/><label for='answer-id-1328643' id='answer-label-1328643' class=' answer'><span>Apply the churn model to all rows in the customer_churn_params table, but implement logic to perform an upsert into the predictions table that ignores rows where predictions have not changed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339616[]' id='answer-id-1328644' class='answer   answerof-339616 ' value='1328644'   \/><label for='answer-id-1328644' id='answer-label-1328644' class=' answer'><span>Convert the batch job to a Structured Streaming job using the complete output mode; configure a Structured Streaming job to read from the customer_churn_params table and incrementally predict against the churn model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339616[]' id='answer-id-1328645' class='answer   answerof-339616 ' value='1328645'   \/><label for='answer-id-1328645' id='answer-label-1328645' class=' answer'><span>Calculate the difference between the previous model predictions and the current \r\ncustomer_churn_params on a key identifying unique customers before making new predictions; only make predictions on those customers not in the previous predictions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339616[]' id='answer-id-1328646' class='answer   answerof-339616 ' value='1328646'   \/><label for='answer-id-1328646' id='answer-label-1328646' class=' answer'><span>Modify the overwrite logic to include a field populated by calling \r\nspark.sql.functions.current_timestamp() as data are being written; use this field to identify records written on a particular date.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339616[]' id='answer-id-1328647' class='answer   answerof-339616 ' value='1328647'   \/><label for='answer-id-1328647' id='answer-label-1328647' class=' answer'><span>Replace the current overwrite logic with a merge statement to modify only those records that have changed; write logic to make predictions on the changed records identified by the change data feed.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-16' style=';'><div id='questionWrap-16'  class='   watupro-question-id-339617'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>A table is registered with the following code: <br \/>\r<br>Both users and orders are Delta Lake tables. <br \/>\r<br>Which statement describes the results of querying recent_orders?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='339617' \/><input type='hidden' id='answerType339617' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339617[]' id='answer-id-1328648' class='answer   answerof-339617 ' value='1328648'   \/><label for='answer-id-1328648' id='answer-label-1328648' class=' answer'><span>All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339617[]' id='answer-id-1328649' class='answer   answerof-339617 ' value='1328649'   \/><label for='answer-id-1328649' id='answer-label-1328649' class=' answer'><span>All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339617[]' id='answer-id-1328650' class='answer   answerof-339617 ' value='1328650'   \/><label for='answer-id-1328650' id='answer-label-1328650' class=' answer'><span>Results will be computed and cached when the table is defined; these cached results will incrementally update as new records are inserted into source tables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339617[]' id='answer-id-1328651' class='answer   answerof-339617 ' value='1328651'   \/><label for='answer-id-1328651' id='answer-label-1328651' class=' answer'><span>All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339617[]' id='answer-id-1328652' class='answer   answerof-339617 ' value='1328652'   \/><label for='answer-id-1328652' id='answer-label-1328652' class=' answer'><span>The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-17' style=';'><div id='questionWrap-17'  class='   watupro-question-id-339618'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>A production workload incrementally applies updates from an external Change Data Capture feed to a Delta Lake table as an always-on Structured Stream job. When data was initially migrated for this table, OPTIMIZE was executed and most data files were resized to 1 GB. Auto Optimize and Auto Compaction were both turned on for the streaming production job. Recent review of data files shows that most data files are under 64 MB, although each partition in the table contains at least 1 GB of data and the total table size is over 10 TB. <br \/>\r<br>Which of the following likely explains these smaller file sizes?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='339618' \/><input type='hidden' id='answerType339618' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339618[]' id='answer-id-1328653' class='answer   answerof-339618 ' value='1328653'   \/><label for='answer-id-1328653' id='answer-label-1328653' class=' answer'><span>Databricks has autotuned to a smaller target file size to reduce duration of MERGE operations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339618[]' id='answer-id-1328654' class='answer   answerof-339618 ' value='1328654'   \/><label for='answer-id-1328654' id='answer-label-1328654' class=' answer'><span>Z-order indices calculated on the table are preventing file compaction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339618[]' id='answer-id-1328655' class='answer   answerof-339618 ' value='1328655'   \/><label for='answer-id-1328655' id='answer-label-1328655' class=' answer'><span>Bloom filler indices calculated on the table are preventing file compaction<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339618[]' id='answer-id-1328656' class='answer   answerof-339618 ' value='1328656'   \/><label for='answer-id-1328656' id='answer-label-1328656' class=' answer'><span>Databricks has autotuned to a smaller target file size based on the overall size of data in the table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339618[]' id='answer-id-1328657' class='answer   answerof-339618 ' value='1328657'   \/><label for='answer-id-1328657' id='answer-label-1328657' class=' answer'><span>Databricks has autotuned to a smaller target file size based on the amount of data in each partition<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-18' style=';'><div id='questionWrap-18'  class='   watupro-question-id-339619'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Which statement regarding stream-static joins and static Delta tables is correct?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='339619' \/><input type='hidden' id='answerType339619' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339619[]' id='answer-id-1328658' class='answer   answerof-339619 ' value='1328658'   \/><label for='answer-id-1328658' id='answer-label-1328658' class=' answer'><span>Each microbatch of a stream-static join will use the most recent version of the static Delta table as of each microbatch.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339619[]' id='answer-id-1328659' class='answer   answerof-339619 ' value='1328659'   \/><label for='answer-id-1328659' id='answer-label-1328659' class=' answer'><span>Each microbatch of a stream-static join will use the most recent version of the static Delta table as of the job's initialization.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339619[]' id='answer-id-1328660' class='answer   answerof-339619 ' value='1328660'   \/><label for='answer-id-1328660' id='answer-label-1328660' class=' answer'><span>The checkpoint directory will be used to track state information for the unique keys present in the join.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339619[]' id='answer-id-1328661' class='answer   answerof-339619 ' value='1328661'   \/><label for='answer-id-1328661' id='answer-label-1328661' class=' answer'><span>Stream-static joins cannot use static Delta tables because of consistency issues.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339619[]' id='answer-id-1328662' class='answer   answerof-339619 ' value='1328662'   \/><label for='answer-id-1328662' id='answer-label-1328662' class=' answer'><span>The checkpoint directory will be used to track updates to the static Delta table.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-19' style=';'><div id='questionWrap-19'  class='   watupro-question-id-339620'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>A junior data engineer has been asked to develop a streaming data pipeline with a grouped aggregation using DataFrame df. The pipeline needs to calculate the average humidity and average temperature for each non-overlapping five-minute interval. Events are recorded once per minute per device. <br \/>\r<br>Streaming DataFrame df has the following schema: <br \/>\r<br>&quot;device_id INT, event_time TIMESTAMP, temp FLOAT, humidity FLOAT&quot; <br \/>\r<br>Code block: <br \/>\r<br>Choose the response that correctly fills in the blank within the code block to complete this task.<\/div><input type='hidden' name='question_id[]' id='qID_19' value='339620' \/><input type='hidden' id='answerType339620' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339620[]' id='answer-id-1328663' class='answer   answerof-339620 ' value='1328663'   \/><label for='answer-id-1328663' id='answer-label-1328663' class=' answer'><span>to_interval(&quot;event_time&quot;, &quot;5 minutes&quot;).alias(&quot;time&quot;)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339620[]' id='answer-id-1328664' class='answer   answerof-339620 ' value='1328664'   \/><label for='answer-id-1328664' id='answer-label-1328664' class=' answer'><span>window(&quot;event_time&quot;, &quot;5 minutes&quot;).alias(&quot;time&quot;)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339620[]' id='answer-id-1328665' class='answer   answerof-339620 ' value='1328665'   \/><label for='answer-id-1328665' id='answer-label-1328665' class=' answer'><span>&quot;event_time&quot;<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339620[]' id='answer-id-1328666' class='answer   answerof-339620 ' value='1328666'   \/><label for='answer-id-1328666' id='answer-label-1328666' class=' answer'><span>window(&quot;event_time&quot;, &quot;10 minutes&quot;).alias(&quot;time&quot;)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339620[]' id='answer-id-1328667' class='answer   answerof-339620 ' value='1328667'   \/><label for='answer-id-1328667' id='answer-label-1328667' class=' answer'><span>lag(&quot;event_time&quot;, &quot;10 minutes&quot;).alias(&quot;time&quot;)<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-20' style=';'><div id='questionWrap-20'  class='   watupro-question-id-339621'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams. <br \/>\r<br>The proposed directory structure is displayed below: <br \/>\r<br>Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='339621' \/><input type='hidden' id='answerType339621' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339621[]' id='answer-id-1328668' class='answer   answerof-339621 ' value='1328668'   \/><label for='answer-id-1328668' id='answer-label-1328668' class=' answer'><span>No; Delta Lake manages streaming checkpoints in the transaction log.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339621[]' id='answer-id-1328669' class='answer   answerof-339621 ' value='1328669'   \/><label for='answer-id-1328669' id='answer-label-1328669' class=' answer'><span>Yes; both of the streams can share a single checkpoint directory.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339621[]' id='answer-id-1328670' class='answer   answerof-339621 ' value='1328670'   \/><label for='answer-id-1328670' id='answer-label-1328670' class=' answer'><span>No; only one stream can write to a Delta Lake table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339621[]' id='answer-id-1328671' class='answer   answerof-339621 ' value='1328671'   \/><label for='answer-id-1328671' id='answer-label-1328671' class=' answer'><span>Yes; Delta Lake supports infinite concurrent writers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339621[]' id='answer-id-1328672' class='answer   answerof-339621 ' value='1328672'   \/><label for='answer-id-1328672' id='answer-label-1328672' class=' answer'><span>No; each of the streams needs to have its own checkpoint directory.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-21' style=';'><div id='questionWrap-21'  class='   watupro-question-id-339622'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>A Structured Streaming job deployed to production has been experiencing delays during peak hours of the day. At present, during normal execution, each microbatch of data is processed in less than 3 seconds. During peak hours of the day, execution time for each microbatch becomes very inconsistent, sometimes exceeding 30 seconds. The streaming write is currently configured with a trigger interval of 10 seconds. <br \/>\r<br>Holding all other variables constant and assuming records need to be processed in less than 10 seconds, which adjustment will meet the requirement?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='339622' \/><input type='hidden' id='answerType339622' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339622[]' id='answer-id-1328673' class='answer   answerof-339622 ' value='1328673'   \/><label for='answer-id-1328673' id='answer-label-1328673' class=' answer'><span>Decrease the trigger interval to 5 seconds; triggering batches more frequently allows idle executors to begin processing the next batch while longer running tasks from previous batches finish.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339622[]' id='answer-id-1328674' class='answer   answerof-339622 ' value='1328674'   \/><label for='answer-id-1328674' id='answer-label-1328674' class=' answer'><span>Increase the trigger interval to 30 seconds; setting the trigger interval near the maximum execution time observed for each batch is always best practice to ensure no records are dropped.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339622[]' id='answer-id-1328675' class='answer   answerof-339622 ' value='1328675'   \/><label for='answer-id-1328675' id='answer-label-1328675' class=' answer'><span>The trigger interval cannot be modified without modifying the checkpoint directory; to maintain the current stream state, increase the number of shuffle partitions to maximize parallelism.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339622[]' id='answer-id-1328676' class='answer   answerof-339622 ' value='1328676'   \/><label for='answer-id-1328676' id='answer-label-1328676' class=' answer'><span>Use the trigger once option and configure a Databricks job to execute the query every 10 seconds; this ensures all backlogged records are processed with each batch.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339622[]' id='answer-id-1328677' class='answer   answerof-339622 ' value='1328677'   \/><label for='answer-id-1328677' id='answer-label-1328677' class=' answer'><span>Decrease the trigger interval to 5 seconds; triggering batches more frequently may prevent records from backing up and large batches from causing spill.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-22' style=';'><div id='questionWrap-22'  class='   watupro-question-id-339623'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>Which statement describes Delta Lake Auto Compaction?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='339623' \/><input type='hidden' id='answerType339623' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339623[]' id='answer-id-1328678' class='answer   answerof-339623 ' value='1328678'   \/><label for='answer-id-1328678' id='answer-label-1328678' class=' answer'><span>An asynchronous job runs after the write completes to detect if files could be further compacted; \r\nif yes, an optimize job is executed toward a default of 1 G<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339623[]' id='answer-id-1328679' class='answer   answerof-339623 ' value='1328679'   \/><label for='answer-id-1328679' id='answer-label-1328679' class=' answer'><span>Before a Jobs cluster terminates, optimize is executed on all tables modified during the most recent job.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339623[]' id='answer-id-1328680' class='answer   answerof-339623 ' value='1328680'   \/><label for='answer-id-1328680' id='answer-label-1328680' class=' answer'><span>Optimized writes use logical partitions instead of directory partitions; because partition boundaries are only represented in metadata, fewer small files are written.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339623[]' id='answer-id-1328681' class='answer   answerof-339623 ' value='1328681'   \/><label for='answer-id-1328681' id='answer-label-1328681' class=' answer'><span>Data is queued in a messaging bus instead of committing data directly to memory; all data is committed from the messaging bus in one batch once the job is complete.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339623[]' id='answer-id-1328682' class='answer   answerof-339623 ' value='1328682'   \/><label for='answer-id-1328682' id='answer-label-1328682' class=' answer'><span>An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 128 M<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-23' style=';'><div id='questionWrap-23'  class='   watupro-question-id-339624'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>Which statement characterizes the general programming model used by Spark Structured Streaming?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='339624' \/><input type='hidden' id='answerType339624' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339624[]' id='answer-id-1328683' class='answer   answerof-339624 ' value='1328683'   \/><label for='answer-id-1328683' id='answer-label-1328683' class=' answer'><span>Structured Streaming leverages the parallel processing of GPUs to achieve highly parallel data throughput.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339624[]' id='answer-id-1328684' class='answer   answerof-339624 ' value='1328684'   \/><label for='answer-id-1328684' id='answer-label-1328684' class=' answer'><span>Structured Streaming is implemented as a messaging bus and is derived from Apache Kafka.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339624[]' id='answer-id-1328685' class='answer   answerof-339624 ' value='1328685'   \/><label for='answer-id-1328685' id='answer-label-1328685' class=' answer'><span>Structured Streaming uses specialized hardware and I\/O streams to achieve sub-second latency for data transfer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339624[]' id='answer-id-1328686' class='answer   answerof-339624 ' value='1328686'   \/><label for='answer-id-1328686' id='answer-label-1328686' class=' answer'><span>Structured Streaming models new data arriving in a data stream as new rows appended to an unbounded table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339624[]' id='answer-id-1328687' class='answer   answerof-339624 ' value='1328687'   \/><label for='answer-id-1328687' id='answer-label-1328687' class=' answer'><span>Structured Streaming relies on a distributed network of nodes that hold incremental state values for cached stages.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-24' style=';'><div id='questionWrap-24'  class='   watupro-question-id-339625'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>Which configuration parameter directly affects the size of a spark-partition upon ingestion of data into Spark?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='339625' \/><input type='hidden' id='answerType339625' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339625[]' id='answer-id-1328688' class='answer   answerof-339625 ' value='1328688'   \/><label for='answer-id-1328688' id='answer-label-1328688' class=' answer'><span>spark.sql.files.maxPartitionBytes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339625[]' id='answer-id-1328689' class='answer   answerof-339625 ' value='1328689'   \/><label for='answer-id-1328689' id='answer-label-1328689' class=' answer'><span>spark.sql.autoBroadcastJoinThreshold<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339625[]' id='answer-id-1328690' class='answer   answerof-339625 ' value='1328690'   \/><label for='answer-id-1328690' id='answer-label-1328690' class=' answer'><span>spark.sql.files.openCostInBytes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339625[]' id='answer-id-1328691' class='answer   answerof-339625 ' value='1328691'   \/><label for='answer-id-1328691' id='answer-label-1328691' class=' answer'><span>spark.sql.adaptive.coalescePartitions.minPartitionNum<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339625[]' id='answer-id-1328692' class='answer   answerof-339625 ' value='1328692'   \/><label for='answer-id-1328692' id='answer-label-1328692' class=' answer'><span>spark.sql.adaptive.advisoryPartitionSizeInBytes<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-25' style=';'><div id='questionWrap-25'  class='   watupro-question-id-339626'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>A Spark job is taking longer than expected. Using the Spark UI, a data engineer notes that the Min, Median, and Max Durations for tasks in a particular stage show the minimum and median time to complete a task as roughly the same, but the max duration for a task to be roughly 100 times as long as the minimum. <br \/>\r<br>Which situation is causing increased duration of the overall job?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='339626' \/><input type='hidden' id='answerType339626' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339626[]' id='answer-id-1328693' class='answer   answerof-339626 ' value='1328693'   \/><label for='answer-id-1328693' id='answer-label-1328693' class=' answer'><span>Task queueing resulting from improper thread pool assignment.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339626[]' id='answer-id-1328694' class='answer   answerof-339626 ' value='1328694'   \/><label for='answer-id-1328694' id='answer-label-1328694' class=' answer'><span>Spill resulting from attached volume storage being too small.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339626[]' id='answer-id-1328695' class='answer   answerof-339626 ' value='1328695'   \/><label for='answer-id-1328695' id='answer-label-1328695' class=' answer'><span>Network latency due to some cluster nodes being in different regions from the source data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339626[]' id='answer-id-1328696' class='answer   answerof-339626 ' value='1328696'   \/><label for='answer-id-1328696' id='answer-label-1328696' class=' answer'><span>Skew caused by more data being assigned to a subset of spark-partitions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339626[]' id='answer-id-1328697' class='answer   answerof-339626 ' value='1328697'   \/><label for='answer-id-1328697' id='answer-label-1328697' class=' answer'><span>Credential validation errors while pulling data from an external system.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-26' style=';'><div id='questionWrap-26'  class='   watupro-question-id-339627'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>Each configuration below is identical to the extent that each cluster has 400 GB total of RAM, 160 total cores and only one Executor per VM. <br \/>\r<br>Given a job with at least one wide transformation, which of the following cluster configurations will result in maximum performance?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='339627' \/><input type='hidden' id='answerType339627' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339627[]' id='answer-id-1328698' class='answer   answerof-339627 ' value='1328698'   \/><label for='answer-id-1328698' id='answer-label-1328698' class=' answer'><span>&#8226; Total VMs; 1 \r\n&#8226; 400 GB per Executor \r\n&#8226; 160 Cores \/ Executor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339627[]' id='answer-id-1328699' class='answer   answerof-339627 ' value='1328699'   \/><label for='answer-id-1328699' id='answer-label-1328699' class=' answer'><span>&#8226; Total VMs: 8 \r\n&#8226; 50 GB per Executor \r\n&#8226; 20 Cores \/ Executor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339627[]' id='answer-id-1328700' class='answer   answerof-339627 ' value='1328700'   \/><label for='answer-id-1328700' id='answer-label-1328700' class=' answer'><span>&#8226; Total VMs: 4 \r\n&#8226; 100 GB per Executor \r\n&#8226; 40 Cores\/Executor<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339627[]' id='answer-id-1328701' class='answer   answerof-339627 ' value='1328701'   \/><label for='answer-id-1328701' id='answer-label-1328701' class=' answer'><span>&#8226; Total VMs:2 \r\n&#8226; 200 GB per Executor \r\n&#8226; 80 Cores \/ Executor<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-27' style=';'><div id='questionWrap-27'  class='   watupro-question-id-339628'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>A junior data engineer on your team has implemented the following code block. <br \/>\r<br><br><img decoding=\"async\" width=481 height=135 id=\"\u56fe\u7247 24\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image011-11.jpg\"><br><br \/>\r<br>The view new_events contains a batch of records with the same schema as the events Delta table. <br \/>\r<br>The event_id field serves as a unique key for this table. <br \/>\r<br>When this query is executed, what will happen with new records that have the same event_id as an existing record?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='339628' \/><input type='hidden' id='answerType339628' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339628[]' id='answer-id-1328702' class='answer   answerof-339628 ' value='1328702'   \/><label for='answer-id-1328702' id='answer-label-1328702' class=' answer'><span>They are merged.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339628[]' id='answer-id-1328703' class='answer   answerof-339628 ' value='1328703'   \/><label for='answer-id-1328703' id='answer-label-1328703' class=' answer'><span>They are ignored.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339628[]' id='answer-id-1328704' class='answer   answerof-339628 ' value='1328704'   \/><label for='answer-id-1328704' id='answer-label-1328704' class=' answer'><span>They are updated.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339628[]' id='answer-id-1328705' class='answer   answerof-339628 ' value='1328705'   \/><label for='answer-id-1328705' id='answer-label-1328705' class=' answer'><span>They are inserted.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339628[]' id='answer-id-1328706' class='answer   answerof-339628 ' value='1328706'   \/><label for='answer-id-1328706' id='answer-label-1328706' class=' answer'><span>They are deleted.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-28' style=';'><div id='questionWrap-28'  class='   watupro-question-id-339629'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type <br \/>\r<br>1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job: <br \/>\r<br>Which statement describes the execution and results of running the above query multiple times?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='339629' \/><input type='hidden' id='answerType339629' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339629[]' id='answer-id-1328707' class='answer   answerof-339629 ' value='1328707'   \/><label for='answer-id-1328707' id='answer-label-1328707' class=' answer'><span>Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339629[]' id='answer-id-1328708' class='answer   answerof-339629 ' value='1328708'   \/><label for='answer-id-1328708' id='answer-label-1328708' class=' answer'><span>Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339629[]' id='answer-id-1328709' class='answer   answerof-339629 ' value='1328709'   \/><label for='answer-id-1328709' id='answer-label-1328709' class=' answer'><span>Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339629[]' id='answer-id-1328710' class='answer   answerof-339629 ' value='1328710'   \/><label for='answer-id-1328710' id='answer-label-1328710' class=' answer'><span>Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339629[]' id='answer-id-1328711' class='answer   answerof-339629 ' value='1328711'   \/><label for='answer-id-1328711' id='answer-label-1328711' class=' answer'><span>Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-29' style=';'><div id='questionWrap-29'  class='   watupro-question-id-339630'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source. That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months. <br \/>\r<br>Which describes how Delta Lake can help to avoid data loss of this nature in the future?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='339630' \/><input type='hidden' id='answerType339630' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339630[]' id='answer-id-1328712' class='answer   answerof-339630 ' value='1328712'   \/><label for='answer-id-1328712' id='answer-label-1328712' class=' answer'><span>The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339630[]' id='answer-id-1328713' class='answer   answerof-339630 ' value='1328713'   \/><label for='answer-id-1328713' id='answer-label-1328713' class=' answer'><span>Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339630[]' id='answer-id-1328714' class='answer   answerof-339630 ' value='1328714'   \/><label for='answer-id-1328714' id='answer-label-1328714' class=' answer'><span>Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339630[]' id='answer-id-1328715' class='answer   answerof-339630 ' value='1328715'   \/><label for='answer-id-1328715' id='answer-label-1328715' class=' answer'><span>Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339630[]' id='answer-id-1328716' class='answer   answerof-339630 ' value='1328716'   \/><label for='answer-id-1328716' id='answer-label-1328716' class=' answer'><span>Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-30' style=';'><div id='questionWrap-30'  class='   watupro-question-id-339631'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>A nightly job ingests data into a Delta Lake table using the following code: <br \/>\r<br><br><img decoding=\"async\" width=358 height=177 id=\"\u56fe\u7247 23\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image012-10.jpg\"><br><br \/>\r<br>The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline. <br \/>\r<br>Which code snippet completes this function definition? <br \/>\r<br>A) def new_records(): <br \/>\r<br>B) return spark.readStream.table(&quot;bronze&quot;) <br \/>\r<br>C) return spark.readStream.load(&quot;bronze&quot;) <br \/>\r<br>D) return spark.read.option(&quot;readChangeFeed&quot;, &quot;true&quot;).table (&quot;bronze&quot;) <br \/>\r<br>E) <br \/>\r<br><br><img decoding=\"async\" width=651 height=92 id=\"\u56fe\u7247 22\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image013-8.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_30' value='339631' \/><input type='hidden' id='answerType339631' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339631[]' id='answer-id-1328717' class='answer   answerof-339631 ' value='1328717'   \/><label for='answer-id-1328717' id='answer-label-1328717' class=' answer'><span>Option A<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339631[]' id='answer-id-1328718' class='answer   answerof-339631 ' value='1328718'   \/><label for='answer-id-1328718' id='answer-label-1328718' class=' answer'><span>Option B<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339631[]' id='answer-id-1328719' class='answer   answerof-339631 ' value='1328719'   \/><label for='answer-id-1328719' id='answer-label-1328719' class=' answer'><span>Option C<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339631[]' id='answer-id-1328720' class='answer   answerof-339631 ' value='1328720'   \/><label for='answer-id-1328720' id='answer-label-1328720' class=' answer'><span>Option D<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339631[]' id='answer-id-1328721' class='answer   answerof-339631 ' value='1328721'   \/><label for='answer-id-1328721' id='answer-label-1328721' class=' answer'><span>Option E<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-31' style=';'><div id='questionWrap-31'  class='   watupro-question-id-339632'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON structure. <br \/>\r<br>The silver_device_recordings table will be used downstream to power several production monitoring dashboards and a production model. At present, 45 of the 100 fields are being used in at least one of these applications. <br \/>\r<br>The data engineer is trying to determine the best approach for dealing with schema declaration given the highly-nested structure of the data and the numerous fields. <br \/>\r<br>Which of the following accurately presents information about Delta Lake and Databricks that may impact their decision-making process?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='339632' \/><input type='hidden' id='answerType339632' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339632[]' id='answer-id-1328722' class='answer   answerof-339632 ' value='1328722'   \/><label for='answer-id-1328722' id='answer-label-1328722' class=' answer'><span>The Tungsten encoding used by Databricks is optimized for storing string data; newly-added native support for querying JSON strings means that string types are always most efficient.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339632[]' id='answer-id-1328723' class='answer   answerof-339632 ' value='1328723'   \/><label for='answer-id-1328723' id='answer-label-1328723' class=' answer'><span>Because Delta Lake uses Parquet for data storage, data types can be easily evolved by just modifying file footer information in place.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339632[]' id='answer-id-1328724' class='answer   answerof-339632 ' value='1328724'   \/><label for='answer-id-1328724' id='answer-label-1328724' class=' answer'><span>Human labor in writing code is the largest cost associated with data engineering workloads; as such, automating table declaration logic should be a priority in all migration workloads.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339632[]' id='answer-id-1328725' class='answer   answerof-339632 ' value='1328725'   \/><label for='answer-id-1328725' id='answer-label-1328725' class=' answer'><span>Because Databricks will infer schema using types that allow all observed data to be processed, setting types manually provides greater assurance of data quality enforcement.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339632[]' id='answer-id-1328726' class='answer   answerof-339632 ' value='1328726'   \/><label for='answer-id-1328726' id='answer-label-1328726' class=' answer'><span>Schema inference and evolution on .Databricks ensure that inferred types will always accurately match the data types used by downstream systems.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-32' style=';'><div id='questionWrap-32'  class='   watupro-question-id-339633'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>The data engineering team maintains the following code: <br \/>\r<br><br><img decoding=\"async\" width=632 height=601 id=\"\u56fe\u7247 21\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image014-8.jpg\"><br><br \/>\r<br>Assuming that this code produces logically correct results and the data in the source tables has been de-duplicated and validated, which statement describes what will occur when this code is executed?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='339633' \/><input type='hidden' id='answerType339633' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339633[]' id='answer-id-1328727' class='answer   answerof-339633 ' value='1328727'   \/><label for='answer-id-1328727' id='answer-label-1328727' class=' answer'><span>A batch job will update the enriched_itemized_orders_by_account table, replacing only those rows that have different values than the current version of the table, using accountID as the primary key.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339633[]' id='answer-id-1328728' class='answer   answerof-339633 ' value='1328728'   \/><label for='answer-id-1328728' id='answer-label-1328728' class=' answer'><span>The enriched_itemized_orders_by_account table will be overwritten using the current valid version of data in each of the three tables referenced in the join logic.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339633[]' id='answer-id-1328729' class='answer   answerof-339633 ' value='1328729'   \/><label for='answer-id-1328729' id='answer-label-1328729' class=' answer'><span>An incremental job will leverage information in the state store to identify unjoined rows in the source tables and write these rows to the enriched_iteinized_orders_by_account table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339633[]' id='answer-id-1328730' class='answer   answerof-339633 ' value='1328730'   \/><label for='answer-id-1328730' id='answer-label-1328730' class=' answer'><span>An incremental job will detect if new rows have been written to any of the source tables; if new rows are detected, all results will be recalculated and used to overwrite the enriched_itemized_orders_by_account table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339633[]' id='answer-id-1328731' class='answer   answerof-339633 ' value='1328731'   \/><label for='answer-id-1328731' id='answer-label-1328731' class=' answer'><span>No computation will occur until enriched_itemized_orders_by_account is queried; upon query materialization, results will be calculated using the current valid version of data in each of the three tables referenced in the join logic.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-33' style=';'><div id='questionWrap-33'  class='   watupro-question-id-339634'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>The data engineering team is migrating an enterprise system with thousands of tables and views into the Lakehouse. They plan to implement the target architecture using a series of bronze, silver, and gold tables. Bronze tables will almost exclusively be used by production data engineering workloads, while silver tables will be used to support both data engineering and machine learning workloads. Gold tables will largely serve business intelligence and reporting purposes. While personal identifying information (PII) exists in all tiers of data, pseudonymization and anonymization rules are in place for all data at the silver and gold levels. <br \/>\r<br>The organization is interested in reducing security concerns while maximizing the ability to collaborate across diverse teams. <br \/>\r<br>Which statement exemplifies best practices for implementing this system?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='339634' \/><input type='hidden' id='answerType339634' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339634[]' id='answer-id-1328732' class='answer   answerof-339634 ' value='1328732'   \/><label for='answer-id-1328732' id='answer-label-1328732' class=' answer'><span>Isolating tables in separate databases based on data quality tiers allows for easy permissions management through database ACLs and allows physical separation of default storage locations for managed tables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339634[]' id='answer-id-1328733' class='answer   answerof-339634 ' value='1328733'   \/><label for='answer-id-1328733' id='answer-label-1328733' class=' answer'><span>Because databases on Databricks are merely a logical construct, choices around database organization do not impact security or discoverability in the Lakehouse.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339634[]' id='answer-id-1328734' class='answer   answerof-339634 ' value='1328734'   \/><label for='answer-id-1328734' id='answer-label-1328734' class=' answer'><span>Storinq all production tables in a single database provides a unified view of all data assets available throughout the Lakehouse, simplifying discoverability by granting all users view privileges on this database.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339634[]' id='answer-id-1328735' class='answer   answerof-339634 ' value='1328735'   \/><label for='answer-id-1328735' id='answer-label-1328735' class=' answer'><span>Working in the default Databricks database provides the greatest security when working with managed tables, as these will be created in the DBFS root.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339634[]' id='answer-id-1328736' class='answer   answerof-339634 ' value='1328736'   \/><label for='answer-id-1328736' id='answer-label-1328736' class=' answer'><span>Because all tables must live in the same storage containers used for the database they're created in, organizations should be prepared to create between dozens and thousands of databases depending on their data isolation requirements.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-34' style=';'><div id='questionWrap-34'  class='   watupro-question-id-339635'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables. <br \/>\r<br>Which approach will ensure that this requirement is met?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='339635' \/><input type='hidden' id='answerType339635' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339635[]' id='answer-id-1328737' class='answer   answerof-339635 ' value='1328737'   \/><label for='answer-id-1328737' id='answer-label-1328737' class=' answer'><span>Whenever a database is being created, make sure that the location keyword is used<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339635[]' id='answer-id-1328738' class='answer   answerof-339635 ' value='1328738'   \/><label for='answer-id-1328738' id='answer-label-1328738' class=' answer'><span>When configuring an external data warehouse for all table storage. leverage Databricks for all EL<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339635[]' id='answer-id-1328739' class='answer   answerof-339635 ' value='1328739'   \/><label for='answer-id-1328739' id='answer-label-1328739' class=' answer'><span>Whenever a table is being created, make sure that the location keyword is used.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339635[]' id='answer-id-1328740' class='answer   answerof-339635 ' value='1328740'   \/><label for='answer-id-1328740' id='answer-label-1328740' class=' answer'><span>When tables are created, make sure that the external keyword is used in the create table statement.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339635[]' id='answer-id-1328741' class='answer   answerof-339635 ' value='1328741'   \/><label for='answer-id-1328741' id='answer-label-1328741' class=' answer'><span>When the workspace is being configured, make sure that external cloud object storage has been mounted.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-35' style=';'><div id='questionWrap-35'  class='   watupro-question-id-339636'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>To reduce storage and compute costs, the data engineering team has been tasked with curating a series of aggregate tables leveraged by business intelligence dashboards, customer-facing applications, production machine learning models, and ad hoc analytical queries. <br \/>\r<br>The data engineering team has been made aware of new requirements from a customer-facing application, which is the only downstream workload they manage entirely. As a result, an aggregate <br \/>\r<br>table used by numerous teams across the organization will need to have a number of fields renamed, and additional fields will also be added. <br \/>\r<br>Which of the solutions addresses the situation while minimally interrupting other teams in the organization without increasing the number of tables that need to be managed?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='339636' \/><input type='hidden' id='answerType339636' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339636[]' id='answer-id-1328742' class='answer   answerof-339636 ' value='1328742'   \/><label for='answer-id-1328742' id='answer-label-1328742' class=' answer'><span>Send all users notice that the schema for the table will be changing; include in the communication the logic necessary to revert the new table schema to match historic queries.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339636[]' id='answer-id-1328743' class='answer   answerof-339636 ' value='1328743'   \/><label for='answer-id-1328743' id='answer-label-1328743' class=' answer'><span>Configure a new table with all the requisite fields and new names and use this as the source for the customer-facing application; create a view that maintains the original data schema and table name by aliasing select fields from the new table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339636[]' id='answer-id-1328744' class='answer   answerof-339636 ' value='1328744'   \/><label for='answer-id-1328744' id='answer-label-1328744' class=' answer'><span>Create a new table with the required schema and new fields and use Delta Lake's deep clone functionality to sync up changes committed to one table to the corresponding table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339636[]' id='answer-id-1328745' class='answer   answerof-339636 ' value='1328745'   \/><label for='answer-id-1328745' id='answer-label-1328745' class=' answer'><span>Replace the current table definition with a logical view defined with the query logic currently writing the aggregate table; create a new table to power the customer-facing application.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339636[]' id='answer-id-1328746' class='answer   answerof-339636 ' value='1328746'   \/><label for='answer-id-1328746' id='answer-label-1328746' class=' answer'><span>Add a table comment warning all users that the table schema and field names will be changing on a given date; overwrite the table in place to the specifications of the customer-facing application.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-36' style=';'><div id='questionWrap-36'  class='   watupro-question-id-339637'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>A Delta Lake table representing metadata about content posts from users has the following schema: <br \/>\r<br>user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE <br \/>\r<br>This table is partitioned by the date column. A query is run with the following filter: <br \/>\r<br>longitude &lt; 20 &amp; longitude &gt; -20 <br \/>\r<br>Which statement describes how data will be filtered?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='339637' \/><input type='hidden' id='answerType339637' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339637[]' id='answer-id-1328747' class='answer   answerof-339637 ' value='1328747'   \/><label for='answer-id-1328747' id='answer-label-1328747' class=' answer'><span>Statistics in the Delta Log will be used to identify partitions that might Include files in the filtered \r\nrange.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339637[]' id='answer-id-1328748' class='answer   answerof-339637 ' value='1328748'   \/><label for='answer-id-1328748' id='answer-label-1328748' class=' answer'><span>No file skipping will occur because the optimizer does not know the relationship between the partition column and the longitude.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339637[]' id='answer-id-1328749' class='answer   answerof-339637 ' value='1328749'   \/><label for='answer-id-1328749' id='answer-label-1328749' class=' answer'><span>The Delta Engine will use row-level statistics in the transaction log to identify the flies that meet the filter criteria.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339637[]' id='answer-id-1328750' class='answer   answerof-339637 ' value='1328750'   \/><label for='answer-id-1328750' id='answer-label-1328750' class=' answer'><span>Statistics in the Delta Log will be used to identify data files that might include records in the filtered range.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339637[]' id='answer-id-1328751' class='answer   answerof-339637 ' value='1328751'   \/><label for='answer-id-1328751' id='answer-label-1328751' class=' answer'><span>The Delta Engine will scan the parquet file footers to identify each row that meets the filter criteria.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-37' style=';'><div id='questionWrap-37'  class='   watupro-question-id-339638'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>A small company based in the United States has recently contracted a consulting firm in India to implement several new data engineering pipelines to power artificial intelligence applications. All the company's data is stored in regional cloud storage in the United States. <br \/>\r<br>The workspace administrator at the company is uncertain about where the Databricks workspace used by the contractors should be deployed. <br \/>\r<br>Assuming that all data governance considerations are accounted for, which statement accurately informs this decision?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='339638' \/><input type='hidden' id='answerType339638' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339638[]' id='answer-id-1328752' class='answer   answerof-339638 ' value='1328752'   \/><label for='answer-id-1328752' id='answer-label-1328752' class=' answer'><span>Databricks runs HDFS on cloud volume storage; as such, cloud virtual machines must be deployed in the region where the data is stored.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339638[]' id='answer-id-1328753' class='answer   answerof-339638 ' value='1328753'   \/><label for='answer-id-1328753' id='answer-label-1328753' class=' answer'><span>Databricks workspaces do not rely on any regional infrastructure; as such, the decision should be made based upon what is most convenient for the workspace administrator.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339638[]' id='answer-id-1328754' class='answer   answerof-339638 ' value='1328754'   \/><label for='answer-id-1328754' id='answer-label-1328754' class=' answer'><span>Cross-region reads and writes can incur significant costs and latency; whenever possible, compute should be deployed in the same region the data is stored.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339638[]' id='answer-id-1328755' class='answer   answerof-339638 ' value='1328755'   \/><label for='answer-id-1328755' id='answer-label-1328755' class=' answer'><span>Databricks leverages user workstations as the driver during interactive development; as such, users should always use a workspace deployed in a region they are physically near.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339638[]' id='answer-id-1328756' class='answer   answerof-339638 ' value='1328756'   \/><label for='answer-id-1328756' id='answer-label-1328756' class=' answer'><span>Databricks notebooks send all executable code from the user's browser to virtual machines over the open internet; whenever possible, choosing a workspace region near the end users is the most secure.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-38' style=';'><div id='questionWrap-38'  class='   watupro-question-id-339639'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>The downstream consumers of a Delta Lake table have been complaining about data quality issues impacting performance in their applications. Specifically, they have complained that invalid latitude and longitude values in the activity_details table have been breaking their ability to use other geolocation processes. <br \/>\r<br>A junior engineer has written the following code to add CHECK constraints to the Delta Lake table: <br \/>\r<br><br><img decoding=\"async\" width=425 height=201 id=\"\u56fe\u7247 20\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2024\/06\/image015-8.jpg\"><br><br \/>\r<br>A senior engineer has confirmed the above logic is correct and the valid ranges for latitude and longitude are provided, but the code fails when executed. <br \/>\r<br>Which statement explains the cause of this failure?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='339639' \/><input type='hidden' id='answerType339639' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339639[]' id='answer-id-1328757' class='answer   answerof-339639 ' value='1328757'   \/><label for='answer-id-1328757' id='answer-label-1328757' class=' answer'><span>Because another team uses this table to support a frequently running application, two-phase locking is preventing the operation from committing.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339639[]' id='answer-id-1328758' class='answer   answerof-339639 ' value='1328758'   \/><label for='answer-id-1328758' id='answer-label-1328758' class=' answer'><span>The activity details table already exists; CHECK constraints can only be added during initial table creation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339639[]' id='answer-id-1328759' class='answer   answerof-339639 ' value='1328759'   \/><label for='answer-id-1328759' id='answer-label-1328759' class=' answer'><span>The activity details table already contains records that violate the constraints; all existing data must pass CHECK constraints in order to add them to an existing table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339639[]' id='answer-id-1328760' class='answer   answerof-339639 ' value='1328760'   \/><label for='answer-id-1328760' id='answer-label-1328760' class=' answer'><span>The activity details table already contains records; CHECK constraints can only be added prior to inserting values into a table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339639[]' id='answer-id-1328761' class='answer   answerof-339639 ' value='1328761'   \/><label for='answer-id-1328761' id='answer-label-1328761' class=' answer'><span>The current table schema does not contain the field valid coordinates; schema evolution will need to be enabled before altering the table to add a constraint.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-39' style=';'><div id='questionWrap-39'  class='   watupro-question-id-339640'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>Which of the following is true of Delta Lake and the Lakehouse?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='339640' \/><input type='hidden' id='answerType339640' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339640[]' id='answer-id-1328762' class='answer   answerof-339640 ' value='1328762'   \/><label for='answer-id-1328762' id='answer-label-1328762' class=' answer'><span>Because Parquet compresses data row by row. strings will only be compressed when a character is repeated multiple times.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339640[]' id='answer-id-1328763' class='answer   answerof-339640 ' value='1328763'   \/><label for='answer-id-1328763' id='answer-label-1328763' class=' answer'><span>Delta Lake automatically collects statistics on the first 32 columns of each table which are leveraged in data skipping based on query filters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339640[]' id='answer-id-1328764' class='answer   answerof-339640 ' value='1328764'   \/><label for='answer-id-1328764' id='answer-label-1328764' class=' answer'><span>Views in the Lakehouse maintain a valid cache of the most recent versions of source tables at all times.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339640[]' id='answer-id-1328765' class='answer   answerof-339640 ' value='1328765'   \/><label for='answer-id-1328765' id='answer-label-1328765' class=' answer'><span>Primary and foreign key constraints can be leveraged to ensure duplicate values are never entered into a dimension table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339640[]' id='answer-id-1328766' class='answer   answerof-339640 ' value='1328766'   \/><label for='answer-id-1328766' id='answer-label-1328766' class=' answer'><span>Z-order can only be applied to numeric values stored in Delta Lake tables<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div class='watu-question ' id='question-40' style=';'><div id='questionWrap-40'  class='   watupro-question-id-339641'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table. <br \/>\r<br>The following logic is used to process these records. <br \/>\r<br>Which statement describes this implementation?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='339641' \/><input type='hidden' id='answerType339641' value='radio'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339641[]' id='answer-id-1328767' class='answer   answerof-339641 ' value='1328767'   \/><label for='answer-id-1328767' id='answer-label-1328767' class=' answer'><span>The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339641[]' id='answer-id-1328768' class='answer   answerof-339641 ' value='1328768'   \/><label for='answer-id-1328768' id='answer-label-1328768' class=' answer'><span>The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339641[]' id='answer-id-1328769' class='answer   answerof-339641 ' value='1328769'   \/><label for='answer-id-1328769' id='answer-label-1328769' class=' answer'><span>The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339641[]' id='answer-id-1328770' class='answer   answerof-339641 ' value='1328770'   \/><label for='answer-id-1328770' id='answer-label-1328770' class=' answer'><span>The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-339641[]' id='answer-id-1328771' class='answer   answerof-339641 ' value='1328771'   \/><label for='answer-id-1328771' id='answer-label-1328771' class=' answer'><span>The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-41'>\n\t<div class='question-content'>\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/plugins\/watupro\/img\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading...\" title=\"Loading...\" \/>&nbsp;Loading...\t<\/div>\n<\/div>\n\n<br \/>\n\t\n\t\t\t<div class=\"watupro_buttons flex \" id=\"watuPROButtons8732\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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