{"id":107920,"date":"2025-08-05T06:46:58","date_gmt":"2025-08-05T06:46:58","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=107920"},"modified":"2026-01-05T06:42:47","modified_gmt":"2026-01-05T06:42:47","slug":"snowflake-dea-c02-practice-test-v8-02-your-path-to-snowpro-advanced-data-engineer-certification-with-the-latest-dumps","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/snowflake-dea-c02-practice-test-v8-02-your-path-to-snowpro-advanced-data-engineer-certification-with-the-latest-dumps.html","title":{"rendered":"Snowflake DEA-C02 Practice Test (V8.02) &#8211; Your Path to SnowPro Advanced: Data Engineer Certification with the Latest Dumps"},"content":{"rendered":"<p>If you are pursuing the SnowPro Advanced: Data Engineer certification to validate advanced knowledge and skills used to apply comprehensive data engineering principles using Snowflake, you must take the DEA-C02 exam now and achieve success. Get the <em><strong>Snowflake<\/strong><\/em> DEA-C02 practice test (V8.02) from DumpsBase to ensure your exam success. With DumpsBase&#8217;s DEA-C02 exam dumps, you&#8217;ll be well-equipped to face the SnowPro Advanced: Data Engineer certification exam with confidence and achieve the prestigious Snowflake Advanced certification, opening doors to exciting career opportunities in the rapidly growing field of cloud data engineering. Choose DumpsBase today. To seize a career opportunity, you must be prepared for the DEA-C02 exam by learning all the latest DEA-C02 practice questions and answers.<\/p>\n<h2>We share the <span style=\"background-color: #00ff00;\"><em>DEA-C02 free dumps onlin<\/em><\/span>e to help you check the DEA-C02 practice test (V8.02):<\/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=\"submittingExam10624\" 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-10624\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10624\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-420215'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>An analytics engineer wants to improve the performance of queries that frequently filter a 10-billion-row table on the `USER_ID` column. The `USER_ID` column has very high cardinality. <br \/>\r<br>Which feature is specifically designed to accelerate these types of highly selective, point-lookup queries?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='420215' \/><input type='hidden' id='answerType420215' 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-420215[]' id='answer-id-1627795' class='answer   answerof-420215 ' value='1627795'   \/><label for='answer-id-1627795' id='answer-label-1627795' class=' answer'><span>Result Cache<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420215[]' id='answer-id-1627796' class='answer   answerof-420215 ' value='1627796'   \/><label for='answer-id-1627796' id='answer-label-1627796' class=' answer'><span>Materialized Views<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420215[]' id='answer-id-1627797' class='answer   answerof-420215 ' value='1627797'   \/><label for='answer-id-1627797' id='answer-label-1627797' class=' answer'><span>Search Optimization Service<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420215[]' id='answer-id-1627798' class='answer   answerof-420215 ' value='1627798'   \/><label for='answer-id-1627798' id='answer-label-1627798' class=' answer'><span>Automatic Clustering<\/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-420216'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>A data engineer has applied both a row access policy and a masking policy to a table named `EMPLOYEE_FINANCIALS`. <br \/>\r<br>When a user queries this table, in which order does Snowflake evaluate these policies?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='420216' \/><input type='hidden' id='answerType420216' 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-420216[]' id='answer-id-1627799' class='answer   answerof-420216 ' value='1627799'   \/><label for='answer-id-1627799' id='answer-label-1627799' class=' answer'><span>The policies are evaluated in parallel, and the results are merged.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420216[]' id='answer-id-1627800' class='answer   answerof-420216 ' value='1627800'   \/><label for='answer-id-1627800' id='answer-label-1627800' class=' answer'><span>The order is determined by which policy was created first.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420216[]' id='answer-id-1627801' class='answer   answerof-420216 ' value='1627801'   \/><label for='answer-id-1627801' id='answer-label-1627801' class=' answer'><span>The masking policy is evaluated first, and then the row access policy is evaluated on the masked data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420216[]' id='answer-id-1627802' class='answer   answerof-420216 ' value='1627802'   \/><label for='answer-id-1627802' id='answer-label-1627802' class=' answer'><span>The row access policy is evaluated first to determine which rows are visible, and then the masking policy is evaluated on the columns of those visible rows.<\/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-420217'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>A data engineer needs to implement a policy that prevents users in the `JUNIOR_ANALYST` role from seeing any rows in the `EMPLOYEES` table where the `SALARY` column is greater than 100,000. Users in the `SENIOR_ANALYST` role should be able to see all rows. <br \/>\r<br>Which type of data governance policy is designed to achieve this row-level filtering?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='420217' \/><input type='hidden' id='answerType420217' 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-420217[]' id='answer-id-1627803' class='answer   answerof-420217 ' value='1627803'   \/><label for='answer-id-1627803' id='answer-label-1627803' class=' answer'><span>Masking Policy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420217[]' id='answer-id-1627804' class='answer   answerof-420217 ' value='1627804'   \/><label for='answer-id-1627804' id='answer-label-1627804' class=' answer'><span>Session Policy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420217[]' id='answer-id-1627805' class='answer   answerof-420217 ' value='1627805'   \/><label for='answer-id-1627805' id='answer-label-1627805' class=' answer'><span>Row Access Policy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420217[]' id='answer-id-1627806' class='answer   answerof-420217 ' value='1627806'   \/><label for='answer-id-1627806' id='answer-label-1627806' class=' answer'><span>Password Policy<\/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-420218'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>An analytics engineer runs `UNDROP TABLE my_table;` one hour after it was accidentally dropped. The command is successful. <br \/>\r<br>What feature made this recovery possible?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='420218' \/><input type='hidden' id='answerType420218' 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-420218[]' id='answer-id-1627807' class='answer   answerof-420218 ' value='1627807'   \/><label for='answer-id-1627807' id='answer-label-1627807' class=' answer'><span>Automatic Clustering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420218[]' id='answer-id-1627808' class='answer   answerof-420218 ' value='1627808'   \/><label for='answer-id-1627808' id='answer-label-1627808' class=' answer'><span>Zero-Copy Cloning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420218[]' id='answer-id-1627809' class='answer   answerof-420218 ' value='1627809'   \/><label for='answer-id-1627809' id='answer-label-1627809' class=' answer'><span>Fail-safe<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420218[]' id='answer-id-1627810' class='answer   answerof-420218 ' value='1627810'   \/><label for='answer-id-1627810' id='answer-label-1627810' class=' answer'><span>Time Travel<\/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-420219'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>A data architect is deciding between a standard view and a secure view. <br \/>\r<br>What is a key characteristic of a `SECURE` view?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='420219' \/><input type='hidden' id='answerType420219' 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-420219[]' id='answer-id-1627811' class='answer   answerof-420219 ' value='1627811'   \/><label for='answer-id-1627811' id='answer-label-1627811' class=' answer'><span>It can only be queried by users with the `ACCOUNTADMIN` role.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420219[]' id='answer-id-1627812' class='answer   answerof-420219 ' value='1627812'   \/><label for='answer-id-1627812' id='answer-label-1627812' class=' answer'><span>It automatically masks any columns that are tagged as PI<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420219[]' id='answer-id-1627813' class='answer   answerof-420219 ' value='1627813'   \/><label for='answer-id-1627813' id='answer-label-1627813' class=' answer'><span>It prevents users from seeing the view's underlying definition and query text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420219[]' id='answer-id-1627814' class='answer   answerof-420219 ' value='1627814'   \/><label for='answer-id-1627814' id='answer-label-1627814' class=' answer'><span>It encrypts the data it exposes, providing an extra layer of security.<\/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-420220'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>When using the `COPY INTO` command to load Parquet files in Snowflake, which of the following `FILE_FORMAT` options can directly influence the data loading process? (Choose 2.)<\/div><input type='hidden' name='question_id[]' id='qID_6' value='420220' \/><input type='hidden' id='answerType420220' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420220[]' id='answer-id-1627815' class='answer   answerof-420220 ' value='1627815'   \/><label for='answer-id-1627815' id='answer-label-1627815' class=' answer'><span>`DATE_FORMAT = 'YYYY-MM-DD'`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420220[]' id='answer-id-1627816' class='answer   answerof-420220 ' value='1627816'   \/><label for='answer-id-1627816' id='answer-label-1627816' class=' answer'><span>`COMPRESSION = 'GZIP'`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420220[]' id='answer-id-1627817' class='answer   answerof-420220 ' value='1627817'   \/><label for='answer-id-1627817' id='answer-label-1627817' class=' answer'><span>`TYPE = 'PARQUET'`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420220[]' id='answer-id-1627818' class='answer   answerof-420220 ' value='1627818'   \/><label for='answer-id-1627818' id='answer-label-1627818' class=' answer'><span>`STRIP_OUTER_ARRAY = TRUE`<\/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-420221'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>What is the primary purpose of micro-partitions in the Snowflake architecture?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='420221' \/><input type='hidden' id='answerType420221' 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-420221[]' id='answer-id-1627819' class='answer   answerof-420221 ' value='1627819'   \/><label for='answer-id-1627819' id='answer-label-1627819' class=' answer'><span>To enforce primary key constraints on tables.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420221[]' id='answer-id-1627820' class='answer   answerof-420221 ' value='1627820'   \/><label for='answer-id-1627820' id='answer-label-1627820' class=' answer'><span>To manage user concurrency on a virtual warehouse.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420221[]' id='answer-id-1627821' class='answer   answerof-420221 ' value='1627821'   \/><label for='answer-id-1627821' id='answer-label-1627821' class=' answer'><span>To serve as the unit of data storage and query pruning.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420221[]' id='answer-id-1627822' class='answer   answerof-420221 ' value='1627822'   \/><label for='answer-id-1627822' id='answer-label-1627822' class=' answer'><span>To store the results of recently executed queries.<\/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-420222'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>An analytics engineer is responsible for a dashboard that runs the same complex aggregation query every hour on a very large, but slowly changing, base table. The query is slow and consumes significant warehouse credits. The business can tolerate the data in the dashboard being up to an hour stale. <br \/>\r<br>To improve performance and reduce cost, the engineer decides to create a materialized view. <br \/>\r<br>How does a materialized view address this problem?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='420222' \/><input type='hidden' id='answerType420222' 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-420222[]' id='answer-id-1627823' class='answer   answerof-420222 ' value='1627823'   \/><label for='answer-id-1627823' id='answer-label-1627823' class=' answer'><span>It acts as a query cache, storing the result of the specific query text for faster retrieval.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420222[]' id='answer-id-1627824' class='answer   answerof-420222 ' value='1627824'   \/><label for='answer-id-1627824' id='answer-label-1627824' class=' answer'><span>It pre-computes and stores the result of the aggregation, so queries against the view read the stored result instead of querying the base table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420222[]' id='answer-id-1627825' class='answer   answerof-420222 ' value='1627825'   \/><label for='answer-id-1627825' id='answer-label-1627825' class=' answer'><span>It automatically resizes the warehouse to a larger size just before the query is run.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420222[]' id='answer-id-1627826' class='answer   answerof-420222 ' value='1627826'   \/><label for='answer-id-1627826' id='answer-label-1627826' class=' answer'><span>It creates a zero-copy clone of the base table that is faster to query.<\/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-420223'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>A data architect is choosing a file format for landing Zone-Read-Decimal data from a legacy system into an external S3 stage. The downstream analytics in Snowflake require schema evolution (the ability to add or remove columns easily) and will perform aggregations on numeric fields. <br \/>\r<br>Which file format would be the most suitable for this use case, considering both storage efficiency and compatibility with Snowflake's features?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='420223' \/><input type='hidden' id='answerType420223' 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-420223[]' id='answer-id-1627827' class='answer   answerof-420223 ' value='1627827'   \/><label for='answer-id-1627827' id='answer-label-1627827' class=' answer'><span>XML<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420223[]' id='answer-id-1627828' class='answer   answerof-420223 ' value='1627828'   \/><label for='answer-id-1627828' id='answer-label-1627828' class=' answer'><span>Avro<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420223[]' id='answer-id-1627829' class='answer   answerof-420223 ' value='1627829'   \/><label for='answer-id-1627829' id='answer-label-1627829' class=' answer'><span>CSV<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420223[]' id='answer-id-1627830' class='answer   answerof-420223 ' value='1627830'   \/><label for='answer-id-1627830' id='answer-label-1627830' class=' answer'><span>JSON<\/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-420224'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>A data engineer needs to provide read-only access to a `SALES_DATA` table to an external partner. The partner has their own Snowflake account. The engineer wants to ensure that the partner cannot see the underlying definition of the views being shared and cannot execute `DESCRIBE` commands on the shared tables. <br \/>\r<br>Which steps should the engineer take to achieve this? (Select all that apply.)<\/div><input type='hidden' name='question_id[]' id='qID_10' value='420224' \/><input type='hidden' id='answerType420224' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420224[]' id='answer-id-1627831' class='answer   answerof-420224 ' value='1627831'   \/><label for='answer-id-1627831' id='answer-label-1627831' class=' answer'><span>Create a share object.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420224[]' id='answer-id-1627832' class='answer   answerof-420224 ' value='1627832'   \/><label for='answer-id-1627832' id='answer-label-1627832' class=' answer'><span>Grant `SELECT` on the `SALES_DATA` table to the share.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420224[]' id='answer-id-1627833' class='answer   answerof-420224 ' value='1627833'   \/><label for='answer-id-1627833' id='answer-label-1627833' class=' answer'><span>Grant `USAGE` on the database and schema to the share.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420224[]' id='answer-id-1627834' class='answer   answerof-420224 ' value='1627834'   \/><label for='answer-id-1627834' id='answer-label-1627834' class=' answer'><span>Create the share using the `CLONE` command.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420224[]' id='answer-id-1627835' class='answer   answerof-420224 ' value='1627835'   \/><label for='answer-id-1627835' id='answer-label-1627835' class=' answer'><span>When creating the views to be shared, use the `SECURE` keyword (e.g., `CREATE SECURE VIEW`).<\/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-420225'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>A data engineering team frequently joins a large fact table (`FACT_SALES`) with a small dimension table (`DIM_COUNTRY`). The `DIM_COUNTRY` table has only 200 rows. Queries are exhibiting suboptimal join performance. <br \/>\r<br>Which of the following strategies could help optimize the join performance in this specific scenario? (Select all that apply.)<\/div><input type='hidden' name='question_id[]' id='qID_11' value='420225' \/><input type='hidden' id='answerType420225' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420225[]' id='answer-id-1627836' class='answer   answerof-420225 ' value='1627836'   \/><label for='answer-id-1627836' id='answer-label-1627836' class=' answer'><span>Define a clustering key on the foreign key column in the `FACT_SALES` table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420225[]' id='answer-id-1627837' class='answer   answerof-420225 ' value='1627837'   \/><label for='answer-id-1627837' id='answer-label-1627837' class=' answer'><span>Use the `SEARCH OPTIMIZATION` service on the `FACT_SALES` table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420225[]' id='answer-id-1627838' class='answer   answerof-420225 ' value='1627838'   \/><label for='answer-id-1627838' id='answer-label-1627838' class=' answer'><span>Ensure the virtual warehouse is large enough to hold the smaller dimension table in memory.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420225[]' id='answer-id-1627839' class='answer   answerof-420225 ' value='1627839'   \/><label for='answer-id-1627839' id='answer-label-1627839' class=' answer'><span>Create a materialized view of the `DIM_COUNTRY` table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420225[]' id='answer-id-1627840' class='answer   answerof-420225 ' value='1627840'   \/><label for='answer-id-1627840' id='answer-label-1627840' class=' answer'><span>Convert the warehouse to a multi-cluster warehouse.<\/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-420226'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>An analytics engineer needs to reference the value from the preceding row in a window of data to calculate a difference. The data is ordered by `event_timestamp`. <br \/>\r<br>Which window function is used for this purpose?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='420226' \/><input type='hidden' id='answerType420226' 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-420226[]' id='answer-id-1627841' class='answer   answerof-420226 ' value='1627841'   \/><label for='answer-id-1627841' id='answer-label-1627841' class=' answer'><span>`NTH_VALUE()`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420226[]' id='answer-id-1627842' class='answer   answerof-420226 ' value='1627842'   \/><label for='answer-id-1627842' id='answer-label-1627842' class=' answer'><span>`LEAD()`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420226[]' id='answer-id-1627843' class='answer   answerof-420226 ' value='1627843'   \/><label for='answer-id-1627843' id='answer-label-1627843' class=' answer'><span>`ROW_NUMBER()`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420226[]' id='answer-id-1627844' class='answer   answerof-420226 ' value='1627844'   \/><label for='answer-id-1627844' id='answer-label-1627844' class=' answer'><span>`LAG()`<\/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-420227'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>Which of the following statements accurately describe Snowflake Stream objects? (Choose 2.)<\/div><input type='hidden' name='question_id[]' id='qID_13' value='420227' \/><input type='hidden' id='answerType420227' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420227[]' id='answer-id-1627845' class='answer   answerof-420227 ' value='1627845'   \/><label for='answer-id-1627845' id='answer-label-1627845' class=' answer'><span>A stream incurs significant storage costs by creating a full physical copy of the changed data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420227[]' id='answer-id-1627846' class='answer   answerof-420227 ' value='1627846'   \/><label for='answer-id-1627846' id='answer-label-1627846' class=' answer'><span>A standard stream can only track `INSERT` operations on its source table.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420227[]' id='answer-id-1627847' class='answer   answerof-420227 ' value='1627847'   \/><label for='answer-id-1627847' id='answer-label-1627847' class=' answer'><span>Querying a stream returns the change data for its source table since the stream's offset was last advanced.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420227[]' id='answer-id-1627848' class='answer   answerof-420227 ' value='1627848'   \/><label for='answer-id-1627848' id='answer-label-1627848' class=' answer'><span>The `STALE_AFTER` parameter defines the time at which a stream becomes stale if it has not been consumed.<\/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-420228'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>A data engineer has two streams, `stream_A` and `stream_B`, on two different source tables. A single downstream task, `task_C`, needs to process records from both streams in a single transaction. <br \/>\r<br>Which of the following statements is true about this scenario?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='420228' \/><input type='hidden' id='answerType420228' 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-420228[]' id='answer-id-1627849' class='answer   answerof-420228 ' value='1627849'   \/><label for='answer-id-1627849' id='answer-label-1627849' class=' answer'><span>The streams must both be of the same type (e.g., both standard or both append-only) to be consumed together.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420228[]' id='answer-id-1627850' class='answer   answerof-420228 ' value='1627850'   \/><label for='answer-id-1627850' id='answer-label-1627850' class=' answer'><span>The task needs to be created with `CALLER'S RIGHTS` to consume from multiple streams.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420228[]' id='answer-id-1627851' class='answer   answerof-420228 ' value='1627851'   \/><label for='answer-id-1627851' id='answer-label-1627851' class=' answer'><span>A single task can consume from multiple streams simultaneously by using a `UNION ALL` in its `USING` clause.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420228[]' id='answer-id-1627852' class='answer   answerof-420228 ' value='1627852'   \/><label for='answer-id-1627852' id='answer-label-1627852' class=' answer'><span>A single DML statement (and thus a single task) can only consume from one stream at a time.<\/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-420229'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>When loading data using `COPY INTO`, a data engineer wants to transform the raw data from staged files before it is loaded into the target table. The transformations involve reordering columns from the source file and casting data types. <br \/>\r<br>Which clause of the `COPY INTO` command enables this functionality?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='420229' \/><input type='hidden' id='answerType420229' 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-420229[]' id='answer-id-1627853' class='answer   answerof-420229 ' value='1627853'   \/><label for='answer-id-1627853' id='answer-label-1627853' class=' answer'><span>A `SELECT` statement with transformations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420229[]' id='answer-id-1627854' class='answer   answerof-420229 ' value='1627854'   \/><label for='answer-id-1627854' id='answer-label-1627854' class=' answer'><span>`ON_ERROR = CONTINUE`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420229[]' id='answer-id-1627855' class='answer   answerof-420229 ' value='1627855'   \/><label for='answer-id-1627855' id='answer-label-1627855' class=' answer'><span>`MATCH_BY_COLUMN_NAME`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420229[]' id='answer-id-1627856' class='answer   answerof-420229 ' value='1627856'   \/><label for='answer-id-1627856' id='answer-label-1627856' class=' answer'><span>`FILE_FORMAT = ( ... )`<\/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-420230'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>1.A Snowflake Administrator is reviewing the credit consumption of a new virtual warehouse. They notice the warehouse frequently suspends and resumes, adding latency to the first query of each new analytics session. <br \/>\r<br>To balance cost and performance for this ad-hoc query workload, which warehouse parameter is most appropriate to adjust?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='420230' \/><input type='hidden' id='answerType420230' 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-420230[]' id='answer-id-1627857' class='answer   answerof-420230 ' value='1627857'   \/><label for='answer-id-1627857' id='answer-label-1627857' class=' answer'><span>`STATEMENT_TIMEOUT_IN_SECONDS`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420230[]' id='answer-id-1627858' class='answer   answerof-420230 ' value='1627858'   \/><label for='answer-id-1627858' id='answer-label-1627858' class=' answer'><span>`MAX_CLUSTER_COUNT`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420230[]' id='answer-id-1627859' class='answer   answerof-420230 ' value='1627859'   \/><label for='answer-id-1627859' id='answer-label-1627859' class=' answer'><span>`SCALING_POLICY`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420230[]' id='answer-id-1627860' class='answer   answerof-420230 ' value='1627860'   \/><label for='answer-id-1627860' id='answer-label-1627860' class=' answer'><span>`AUTO_SUSPEND`<\/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-420231'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>A data architect needs to create a table for staging ephemeral data that will be processed and deleted within a few hours. The highest priority is to minimize storage costs, specifically by avoiding any expense related to Time Travel and Fail-safe. <br \/>\r<br>Which table type should be chosen?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='420231' \/><input type='hidden' id='answerType420231' 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-420231[]' id='answer-id-1627861' class='answer   answerof-420231 ' value='1627861'   \/><label for='answer-id-1627861' id='answer-label-1627861' class=' answer'><span>Permanent<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420231[]' id='answer-id-1627862' class='answer   answerof-420231 ' value='1627862'   \/><label for='answer-id-1627862' id='answer-label-1627862' class=' answer'><span>Temporary<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420231[]' id='answer-id-1627863' class='answer   answerof-420231 ' value='1627863'   \/><label for='answer-id-1627863' id='answer-label-1627863' class=' answer'><span>Transient<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420231[]' id='answer-id-1627864' class='answer   answerof-420231 ' value='1627864'   \/><label for='answer-id-1627864' id='answer-label-1627864' class=' answer'><span>External<\/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-420232'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>A data engineer is designing a change data capture (CDC) pipeline for a `TRANSACTIONS` table. The requirement is to capture every change, including inserts, updates, and deletes. However, the downstream process needs to see both the &quot;before&quot; and &quot;after&quot; image of any updated row to calculate the delta. <br \/>\r<br>Which type of stream should be created to meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='420232' \/><input type='hidden' id='answerType420232' 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-420232[]' id='answer-id-1627865' class='answer   answerof-420232 ' value='1627865'   \/><label for='answer-id-1627865' id='answer-label-1627865' class=' answer'><span>A stream with `SHOW_INITIAL_ROWS = TRUE`.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420232[]' id='answer-id-1627866' class='answer   answerof-420232 ' value='1627866'   \/><label for='answer-id-1627866' id='answer-label-1627866' class=' answer'><span>An append-only stream.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420232[]' id='answer-id-1627867' class='answer   answerof-420232 ' value='1627867'   \/><label for='answer-id-1627867' id='answer-label-1627867' class=' answer'><span>A standard (delta) stream.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420232[]' id='answer-id-1627868' class='answer   answerof-420232 ' value='1627868'   \/><label for='answer-id-1627868' id='answer-label-1627868' class=' answer'><span>An insert-only stream.<\/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-420233'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>An analyst's query is taking a long time to execute. A Snowflake Administrator checks the query profile and sees a &quot;Remote Disk I\/O&quot; operator taking up 90% of the execution time. <br \/>\r<br>What does this indicate?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='420233' \/><input type='hidden' id='answerType420233' 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-420233[]' id='answer-id-1627869' class='answer   answerof-420233 ' value='1627869'   \/><label for='answer-id-1627869' id='answer-label-1627869' class=' answer'><span>The virtual warehouse is spilling data from memory to its local SS<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420233[]' id='answer-id-1627870' class='answer   answerof-420233 ' value='1627870'   \/><label for='answer-id-1627870' id='answer-label-1627870' class=' answer'><span>The query made effective use of the warehouse's local disk cache.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420233[]' id='answer-id-1627871' class='answer   answerof-420233 ' value='1627871'   \/><label for='answer-id-1627871' id='answer-label-1627871' class=' answer'><span>The query result is too large to send back to the client application.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420233[]' id='answer-id-1627872' class='answer   answerof-420233 ' value='1627872'   \/><label for='answer-id-1627872' id='answer-label-1627872' class=' answer'><span>The query is reading a large amount of data from Snowflake's remote storage layer (e.g., S3, Azure Blob).<\/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-420234'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>A data architect is designing an ingestion solution. <br \/>\r<br>What is a primary difference between the Snowpipe REST API and the Snowpipe Streaming API?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='420234' \/><input type='hidden' id='answerType420234' 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-420234[]' id='answer-id-1627873' class='answer   answerof-420234 ' value='1627873'   \/><label for='answer-id-1627873' id='answer-label-1627873' class=' answer'><span>The REST API uses Snowflake-managed compute, while the Streaming API requires the user to specify a running virtual warehouse.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420234[]' id='answer-id-1627874' class='answer   answerof-420234 ' value='1627874'   \/><label for='answer-id-1627874' id='answer-label-1627874' class=' answer'><span>The REST API is for batch loading files, while the Streaming API is for inserting individual rows without using files.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420234[]' id='answer-id-1627875' class='answer   answerof-420234 ' value='1627875'   \/><label for='answer-id-1627875' id='answer-label-1627875' class=' answer'><span>The REST API requires an Enterprise edition of Snowflake, while the Streaming API is available in all editions.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420234[]' id='answer-id-1627876' class='answer   answerof-420234 ' value='1627876'   \/><label for='answer-id-1627876' id='answer-label-1627876' class=' answer'><span>The REST API is lower latency than the Streaming AP<\/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-420235'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>An analytics engineer is using the `COPY INTO` command to load a CSV file where text fields are enclosed in double quotes. <br \/>\r<br>Which file format option should be used to correctly parse these fields?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='420235' \/><input type='hidden' id='answerType420235' 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-420235[]' id='answer-id-1627877' class='answer   answerof-420235 ' value='1627877'   \/><label for='answer-id-1627877' id='answer-label-1627877' class=' answer'><span>`ENCLOSED_BY = '&quot;'`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420235[]' id='answer-id-1627878' class='answer   answerof-420235 ' value='1627878'   \/><label for='answer-id-1627878' id='answer-label-1627878' class=' answer'><span>`FIELD_OPTIONALLY_ENCLOSED_BY = '&quot;'`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420235[]' id='answer-id-1627879' class='answer   answerof-420235 ' value='1627879'   \/><label for='answer-id-1627879' id='answer-label-1627879' class=' answer'><span>`FIELD_DELIMITER = ','`<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420235[]' id='answer-id-1627880' class='answer   answerof-420235 ' value='1627880'   \/><label for='answer-id-1627880' id='answer-label-1627880' class=' answer'><span>`ESCAPE_UNENCLOSED_FIELD = 'NONE'`<\/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-420236'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>A data architect is designing a data governance framework where masking policies need to reference enterprise-wide metadata that is managed outside of Snowflake. For example, a column's data sensitivity level (`PII`, `CONFIDENTIAL`, `PUBLIC`) is stored in an external metadata catalog. <br \/>\r<br>The requirement is to have a single masking policy that can be applied to any column. This policy must call an external API, passing the column name and table name as arguments, to fetch the sensitivity level. Based on the returned level, it will then apply the appropriate masking. <br \/>\r<br>Which combination of Snowflake features is required to implement this? (Choose 2.)<\/div><input type='hidden' name='question_id[]' id='qID_22' value='420236' \/><input type='hidden' id='answerType420236' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420236[]' id='answer-id-1627881' class='answer   answerof-420236 ' value='1627881'   \/><label for='answer-id-1627881' id='answer-label-1627881' class=' answer'><span>Conditional Masking Policy Arguments<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420236[]' id='answer-id-1627882' class='answer   answerof-420236 ' value='1627882'   \/><label for='answer-id-1627882' id='answer-label-1627882' class=' answer'><span>Secure Views<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420236[]' id='answer-id-1627883' class='answer   answerof-420236 ' value='1627883'   \/><label for='answer-id-1627883' id='answer-label-1627883' class=' answer'><span>External Functions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420236[]' id='answer-id-1627884' class='answer   answerof-420236 ' value='1627884'   \/><label for='answer-id-1627884' id='answer-label-1627884' class=' answer'><span>Java UDFs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420236[]' id='answer-id-1627885' class='answer   answerof-420236 ' value='1627885'   \/><label for='answer-id-1627885' id='answer-label-1627885' class=' answer'><span>External Tables<\/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-420237'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>An analytics engineer is querying a `VARIANT` column containing JSON. To improve performance of a query that repeatedly extracts the same nested fields, a colleague suggests creating a standard (non-materialized) view. <br \/>\r<br>How will creating this view affect the performance of the query?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='420237' \/><input type='hidden' id='answerType420237' 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-420237[]' id='answer-id-1627886' class='answer   answerof-420237 ' value='1627886'   \/><label for='answer-id-1627886' id='answer-label-1627886' class=' answer'><span>It will have no direct impact on performance.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420237[]' id='answer-id-1627887' class='answer   answerof-420237 ' value='1627887'   \/><label for='answer-id-1627887' id='answer-label-1627887' class=' answer'><span>It will significantly improve performance by storing the extracted fields.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420237[]' id='answer-id-1627888' class='answer   answerof-420237 ' value='1627888'   \/><label for='answer-id-1627888' id='answer-label-1627888' class=' answer'><span>It will degrade performance due to the overhead of the view.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420237[]' id='answer-id-1627889' class='answer   answerof-420237 ' value='1627889'   \/><label for='answer-id-1627889' id='answer-label-1627889' class=' answer'><span>It will improve performance by creating a micro-partition index on the nested fields.<\/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-420238'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>A data engineer is working with two large tables, `ORDERS` and `SHIPMENTS`, both containing a `REGION` column. A common query joins these two tables on their primary keys and filters for a specific region. To improve performance, the data engineer decides to create a multi-cluster warehouse. <br \/>\r<br>How does a multi-cluster warehouse help optimize the performance of these queries, especially when multiple analysts are running them concurrently?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='420238' \/><input type='hidden' id='answerType420238' 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-420238[]' id='answer-id-1627890' class='answer   answerof-420238 ' value='1627890'   \/><label for='answer-id-1627890' id='answer-label-1627890' class=' answer'><span>It automatically provisions additional, separate clusters to handle incoming queries in parallel, reducing queuing time.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420238[]' id='answer-id-1627891' class='answer   answerof-420238 ' value='1627891'   \/><label for='answer-id-1627891' id='answer-label-1627891' class=' answer'><span>It ensures that data for the same region from both tables is stored on the same micro-partition, speeding up the join.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420238[]' id='answer-id-1627892' class='answer   answerof-420238 ' value='1627892'   \/><label for='answer-id-1627892' id='answer-label-1627892' class=' answer'><span>It automatically rewrites the query to use a more efficient join algorithm.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420238[]' id='answer-id-1627893' class='answer   answerof-420238 ' value='1627893'   \/><label for='answer-id-1627893' id='answer-label-1627893' class=' answer'><span>It increases the amount of memory available for each individual query, preventing remote disk spilling.<\/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-420239'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>A data architect is comparing data sharing methods. <br \/>\r<br>What is a key benefit of using Snowflake Secure Data Sharing compared to traditional methods like sharing files via SFTP or S3?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='420239' \/><input type='hidden' id='answerType420239' 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-420239[]' id='answer-id-1627894' class='answer   answerof-420239 ' value='1627894'   \/><label for='answer-id-1627894' id='answer-label-1627894' class=' answer'><span>The consumer is required to use the same cloud provider (e.g., AWS) as the data provider.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420239[]' id='answer-id-1627895' class='answer   answerof-420239 ' value='1627895'   \/><label for='answer-id-1627895' id='answer-label-1627895' class=' answer'><span>Data is shared live without being copied, meaning the consumer always sees the most up-to-date version and no additional storage costs are incurred by the consumer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420239[]' id='answer-id-1627896' class='answer   answerof-420239 ' value='1627896'   \/><label for='answer-id-1627896' id='answer-label-1627896' class=' answer'><span>Data is physically copied to the consumer's account, providing them with an isolated copy.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420239[]' id='answer-id-1627897' class='answer   answerof-420239 ' value='1627897'   \/><label for='answer-id-1627897' id='answer-label-1627897' class=' answer'><span>It allows the consumer to grant write access back to the provider on the shared data.<\/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-420240'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>A data scientist has written a Python UDF to process data using a third-party library that is not included in the default Anaconda package channel provided by Snowflake. <br \/>\r<br>What are the necessary steps the engineer must take to make this UDF work in Snowflake? (Choose 2.)<\/div><input type='hidden' name='question_id[]' id='qID_26' value='420240' \/><input type='hidden' id='answerType420240' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420240[]' id='answer-id-1627898' class='answer   answerof-420240 ' value='1627898'   \/><label for='answer-id-1627898' id='answer-label-1627898' class=' answer'><span>Upload the third-party library's Wheel or Zip file to a Snowflake internal stage.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420240[]' id='answer-id-1627899' class='answer   answerof-420240 ' value='1627899'   \/><label for='answer-id-1627899' id='answer-label-1627899' class=' answer'><span>The UDF must be rewritten in Java, as Python UDFs do not support third-party libraries.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420240[]' id='answer-id-1627900' class='answer   answerof-420240 ' value='1627900'   \/><label for='answer-id-1627900' id='answer-label-1627900' class=' answer'><span>Contact Snowflake support to have the package added to the default Anaconda channel.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420240[]' id='answer-id-1627901' class='answer   answerof-420240 ' value='1627901'   \/><label for='answer-id-1627901' id='answer-label-1627901' class=' answer'><span>Use the `IMPORTS` clause in the `CREATE FUNCTION` statement, referencing the path to the library in the stage.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420240[]' id='answer-id-1627902' class='answer   answerof-420240 ' value='1627902'   \/><label for='answer-id-1627902' id='answer-label-1627902' class=' answer'><span>Use `pip install` directly within the Python UDF code.<\/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-420241'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>A Snowflake Administrator creates a new role `SALES_ANALYST` but does not grant it to any other role or user. <br \/>\r<br>Which role can manage (e.g., grant, revoke, drop) this new role?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='420241' \/><input type='hidden' id='answerType420241' 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-420241[]' id='answer-id-1627903' class='answer   answerof-420241 ' value='1627903'   \/><label for='answer-id-1627903' id='answer-label-1627903' class=' answer'><span>Only the `SECURITYADMIN` role.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420241[]' id='answer-id-1627904' class='answer   answerof-420241 ' value='1627904'   \/><label for='answer-id-1627904' id='answer-label-1627904' class=' answer'><span>The role that created it (the owner) and any role higher in the hierarchy that inherits from the owner.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420241[]' id='answer-id-1627905' class='answer   answerof-420241 ' value='1627905'   \/><label for='answer-id-1627905' id='answer-label-1627905' class=' answer'><span>Only the `ACCOUNTADMIN` role.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420241[]' id='answer-id-1627906' class='answer   answerof-420241 ' value='1627906'   \/><label for='answer-id-1627906' id='answer-label-1627906' class=' answer'><span>Any role that has the `MANAGE GRANTS` privilege.<\/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-420242'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>For a Snowpipe configured for automatic data ingestion, which of the following are necessary or recommended configurations? (Choose 2.)<\/div><input type='hidden' name='question_id[]' id='qID_28' value='420242' \/><input type='hidden' id='answerType420242' value='checkbox'><!-- end question-content--><\/div><div class='question-choices watupro-choices-columns '><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420242[]' id='answer-id-1627907' class='answer   answerof-420242 ' value='1627907'   \/><label for='answer-id-1627907' id='answer-label-1627907' class=' answer'><span>The `ALTER PIP<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420242[]' id='answer-id-1627908' class='answer   answerof-420242 ' value='1627908'   \/><label for='answer-id-1627908' id='answer-label-1627908' class=' answer'><span>.. REFRESH` command must be run manually on a schedule to trigger loading.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420242[]' id='answer-id-1627909' class='answer   answerof-420242 ' value='1627909'   \/><label for='answer-id-1627909' id='answer-label-1627909' class=' answer'><span>Event notifications must be configured on the cloud storage service (e.g., AWS S3) to inform Snowpipe of new files.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420242[]' id='answer-id-1627910' class='answer   answerof-420242 ' value='1627910'   \/><label for='answer-id-1627910' id='answer-label-1627910' class=' answer'><span>Snowpipe uses its own serverless compute resources for ingestion, separate from user-managed virtual warehouses.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-420242[]' id='answer-id-1627911' class='answer   answerof-420242 ' value='1627911'   \/><label for='answer-id-1627911' id='answer-label-1627911' class=' answer'><span>Snowpipe can only be used to load CSV or JSON file formats.<\/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-420243'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>A data engineering team is deciding on an ingestion method for two different sources: <br \/>\r<br>1. Source A: A high-volume stream of IoT sensor data (many small files, ~100KB each) that needs to be available in Snowflake with very low latency (seconds). <br \/>\r<br>2. Source B: A large, 200 GB Parquet file that is generated once per day by a batch ETL job and needs to be loaded efficiently. <br \/>\r<br>Which Snowflake data loading methods are best suited for Source A and Source B, respectively?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='420243' \/><input type='hidden' id='answerType420243' 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-420243[]' id='answer-id-1627912' class='answer   answerof-420243 ' value='1627912'   \/><label for='answer-id-1627912' id='answer-label-1627912' class=' answer'><span>Source A: `COPY INTO` command, Source B: Snowpipe<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420243[]' id='answer-id-1627913' class='answer   answerof-420243 ' value='1627913'   \/><label for='answer-id-1627913' id='answer-label-1627913' class=' answer'><span>Source A: Snowpipe Streaming, Source B: `COPY INTO` command<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420243[]' id='answer-id-1627914' class='answer   answerof-420243 ' value='1627914'   \/><label for='answer-id-1627914' id='answer-label-1627914' class=' answer'><span>Source A: External Functions, Source B: `COPY INTO` command<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420243[]' id='answer-id-1627915' class='answer   answerof-420243 ' value='1627915'   \/><label for='answer-id-1627915' id='answer-label-1627915' class=' answer'><span>Source A: Snowpipe, Source B: Snowpipe Streaming<\/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-420244'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>A data engineer needs to troubleshoot a `COPY INTO` command that failed. To find the specific error message and details about the failed load, which information source should be queried?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='420244' \/><input type='hidden' id='answerType420244' 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-420244[]' id='answer-id-1627916' class='answer   answerof-420244 ' value='1627916'   \/><label for='answer-id-1627916' id='answer-label-1627916' class=' answer'><span>The `SYSTEM$LAST_QUERY_ID()` function.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420244[]' id='answer-id-1627917' class='answer   answerof-420244 ' value='1627917'   \/><label for='answer-id-1627917' id='answer-label-1627917' class=' answer'><span>The `SNOWFLAK<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420244[]' id='answer-id-1627918' class='answer   answerof-420244 ' value='1627918'   \/><label for='answer-id-1627918' id='answer-label-1627918' class=' answer'><span>ACCOUNT_USAG<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420244[]' id='answer-id-1627919' class='answer   answerof-420244 ' value='1627919'   \/><label for='answer-id-1627919' id='answer-label-1627919' class=' answer'><span>QUERY_HISTORY` view, filtering by the session I<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420244[]' id='answer-id-1627920' class='answer   answerof-420244 ' value='1627920'   \/><label for='answer-id-1627920' id='answer-label-1627920' class=' answer'><span>The `information_schema.tables` view to check the table's schema.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-420244[]' id='answer-id-1627921' class='answer   answerof-420244 ' value='1627921'   \/><label for='answer-id-1627921' id='answer-label-1627921' class=' answer'><span>The `information_schema.load_history` view for the specific table.<\/span><\/label><\/div><!-- end question-choices--><\/div><!-- end questionWrap--><\/div><\/div><div style='display:none' id='question-31'>\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=\"watuPROButtons10624\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; 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   \t \n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>If you are pursuing the SnowPro Advanced: Data Engineer certification to validate advanced knowledge and skills used to apply comprehensive data engineering principles using Snowflake, you must take the DEA-C02 exam now and achieve success. Get the Snowflake DEA-C02 practice test (V8.02) from DumpsBase to ensure your exam success. With DumpsBase&#8217;s DEA-C02 exam dumps, you&#8217;ll [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11847,14904,19474],"tags":[19476,19475],"class_list":["post-107920","post","type-post","status-publish","format-standard","hentry","category-snowflake","category-snowpro-advanced-certification","category-snowpro-advanced-data-engineer","tag-dea-c02-exam-dumps","tag-dea-c02-practice-test"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/107920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/comments?post=107920"}],"version-history":[{"count":3,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/107920\/revisions"}],"predecessor-version":[{"id":115209,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/107920\/revisions\/115209"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=107920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=107920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=107920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}