{"id":106118,"date":"2025-07-21T05:57:05","date_gmt":"2025-07-21T05:57:05","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=106118"},"modified":"2025-07-21T05:57:05","modified_gmt":"2025-07-21T05:57:05","slug":"d-ds-fn-23-dumps-v9-02-are-the-most-current-materials-for-the-dell-data-science-foundations-2023-exam-preparation-d-ds-fn-23-free-dumps-part-3-q81-q120-online","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/d-ds-fn-23-dumps-v9-02-are-the-most-current-materials-for-the-dell-data-science-foundations-2023-exam-preparation-d-ds-fn-23-free-dumps-part-3-q81-q120-online.html","title":{"rendered":"D-DS-FN-23 Dumps (V9.02) Are the Most Current Materials for the Dell Data Science Foundations 2023 Exam Preparation: D-DS-FN-23 Free Dumps (Part 3, Q81-Q120) Online"},"content":{"rendered":"<p>Successfully passing the Dell Data Science Foundations 2023 Exam (D-DS-FN-23) requires thoroughly preparing for the types of questions you&#8217;ll encounter. You can choose the D-DS-FN-23 dumps (V9.02) from DumpsBase, which offer valuable insights to help you prepare effectively. DumpsBase provides an extensive collection of D-DS-FN-23 exam questions that cover all relevant topics. To check them, you can read our demos online:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.dumpsbase.com\/freedumps\/download-dell-d-ds-fn-23-dumps-v9-02-to-make-preparations-d-ds-fn-23-free-dumps-part1-q1-q40-are-available-to-check-the-quality.html\"><em>D-DS-FN-23 free dumps (Part 1, Q1-Q40) of V9.02<\/em><\/a><\/li>\n<li><a href=\"https:\/\/www.dumpsbase.com\/freedumps\/check-dell-d-ds-fn-23-free-dumps-part-2-q41-q80-online-you-can-find-that-the-d-ds-fn-23-dumps-v9-02-are-the-greatest-way-to-make-preparations.html\"><em>D-DS-FN-23 free dumps (Part 2, Q41-Q80) of V9.02<\/em><\/a><\/li>\n<\/ul>\n<p>By familiarizing yourself with the exam format, focusing on key topics, implementing effective study strategies, and utilizing trusted resources like DumpsBase, you can significantly enhance your chances of passing the exam on your first attempt.<\/p>\n<h2>To help you check more demos, the <span style=\"background-color: #00ffff;\"><em>D-DS-FN-23 free dumps (Part 3, Q81-Q120) of V9.02 are below<\/em><\/span> for reading:<\/h2>\n<p><!-- notionvc: 8a628f2c-4838-4d71-9e8b-7228458a431f --><\/p>\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=\"submittingExam10131\" 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-10131\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-10131\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-402344'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>You have been assigned to run a logistic regression model for each of 100 countries, and all the data is currently stored in a PostgreSQL database. <br \/>\r<br>Which tool\/library would you use to produce these models with the least effort?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='402344' \/><input type='hidden' id='answerType402344' 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-402344[]' id='answer-id-1561636' class='answer   answerof-402344 ' value='1561636'   \/><label for='answer-id-1561636' id='answer-label-1561636' class=' answer'><span>MADlib<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402344[]' id='answer-id-1561637' class='answer   answerof-402344 ' value='1561637'   \/><label for='answer-id-1561637' id='answer-label-1561637' class=' answer'><span>Mahout<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402344[]' id='answer-id-1561638' class='answer   answerof-402344 ' value='1561638'   \/><label for='answer-id-1561638' id='answer-label-1561638' class=' answer'><span>RStudio<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402344[]' id='answer-id-1561639' class='answer   answerof-402344 ' value='1561639'   \/><label for='answer-id-1561639' id='answer-label-1561639' class=' answer'><span>HBase<\/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-402345'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>A data scientist plans to classify the sentiment polarity of 10, 000 product reviews collected from the Internet. <br \/>\r<br>What is the most appropriate model to use? Suppose labeled training data is available.<\/div><input type='hidden' name='question_id[]' id='qID_2' value='402345' \/><input type='hidden' id='answerType402345' 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-402345[]' id='answer-id-1561640' class='answer   answerof-402345 ' value='1561640'   \/><label for='answer-id-1561640' id='answer-label-1561640' class=' answer'><span>Na&iuml;ve Bayesian classifier<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402345[]' id='answer-id-1561641' class='answer   answerof-402345 ' value='1561641'   \/><label for='answer-id-1561641' id='answer-label-1561641' class=' answer'><span>Linear regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402345[]' id='answer-id-1561642' class='answer   answerof-402345 ' value='1561642'   \/><label for='answer-id-1561642' id='answer-label-1561642' class=' answer'><span>Logistic regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402345[]' id='answer-id-1561643' class='answer   answerof-402345 ' value='1561643'   \/><label for='answer-id-1561643' id='answer-label-1561643' class=' answer'><span>K-means clustering<\/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-402346'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>What does R code nv &lt;- v[v &lt; 1000] do?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='402346' \/><input type='hidden' id='answerType402346' 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-402346[]' id='answer-id-1561644' class='answer   answerof-402346 ' value='1561644'   \/><label for='answer-id-1561644' id='answer-label-1561644' class=' answer'><span>Selects the values in vector v that are less than 1000 and assigns them to the vector nv<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402346[]' id='answer-id-1561645' class='answer   answerof-402346 ' value='1561645'   \/><label for='answer-id-1561645' id='answer-label-1561645' class=' answer'><span>Sets nv to TRUE or FALSE depending on whether all elements of vector v are less than 1000<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402346[]' id='answer-id-1561646' class='answer   answerof-402346 ' value='1561646'   \/><label for='answer-id-1561646' id='answer-label-1561646' class=' answer'><span>Removes elements of vector v less than 1000 and assigns the elements &gt;= 1000 to nv<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402346[]' id='answer-id-1561647' class='answer   answerof-402346 ' value='1561647'   \/><label for='answer-id-1561647' id='answer-label-1561647' class=' answer'><span>Selects values of vector v less than 1000, modifies v, and makes a copy to nv<\/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-402347'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>You have run a Linear Regression model on the data shown in the graphic. <br \/>\r<br><br><img decoding=\"async\" width=380 height=280 id=\"\u56fe\u7247 256\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image017-6.png\"><br><br \/>\r<br>Which value is a reasonable guess for R-squared?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='402347' \/><input type='hidden' id='answerType402347' 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-402347[]' id='answer-id-1561648' class='answer   answerof-402347 ' value='1561648'   \/><label for='answer-id-1561648' id='answer-label-1561648' class=' answer'><span>-.8<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402347[]' id='answer-id-1561649' class='answer   answerof-402347 ' value='1561649'   \/><label for='answer-id-1561649' id='answer-label-1561649' class=' answer'><span>.8<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402347[]' id='answer-id-1561650' class='answer   answerof-402347 ' value='1561650'   \/><label for='answer-id-1561650' id='answer-label-1561650' class=' answer'><span>.25<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402347[]' id='answer-id-1561651' class='answer   answerof-402347 ' value='1561651'   \/><label for='answer-id-1561651' id='answer-label-1561651' class=' answer'><span>1.25<\/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-402348'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>You have created a scatterplot of two continuous variables for 2000 records. You want to add a line to the scatterplot to check linearity of the data. <br \/>\r<br>Which function would best address this need?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='402348' \/><input type='hidden' id='answerType402348' 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-402348[]' id='answer-id-1561652' class='answer   answerof-402348 ' value='1561652'   \/><label for='answer-id-1561652' id='answer-label-1561652' class=' answer'><span>abline()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402348[]' id='answer-id-1561653' class='answer   answerof-402348 ' value='1561653'   \/><label for='answer-id-1561653' id='answer-label-1561653' class=' answer'><span>glm()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402348[]' id='answer-id-1561654' class='answer   answerof-402348 ' value='1561654'   \/><label for='answer-id-1561654' id='answer-label-1561654' class=' answer'><span>hist()<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402348[]' id='answer-id-1561655' class='answer   answerof-402348 ' value='1561655'   \/><label for='answer-id-1561655' id='answer-label-1561655' class=' answer'><span>lm()<\/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-402349'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>Why do the Na&iuml;ve Bayesian classifier implementations use the log of probability value rather than the pure probability value?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='402349' \/><input type='hidden' id='answerType402349' 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-402349[]' id='answer-id-1561656' class='answer   answerof-402349 ' value='1561656'   \/><label for='answer-id-1561656' id='answer-label-1561656' class=' answer'><span>To ensure the conditional independence of attribute values<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402349[]' id='answer-id-1561657' class='answer   answerof-402349 ' value='1561657'   \/><label for='answer-id-1561657' id='answer-label-1561657' class=' answer'><span>To avoid numerical underflow errors in high dimensional problems<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402349[]' id='answer-id-1561658' class='answer   answerof-402349 ' value='1561658'   \/><label for='answer-id-1561658' id='answer-label-1561658' class=' answer'><span>To obtain a more accurate estimate of the probabilities without the need for a Laplace smoothing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402349[]' id='answer-id-1561659' class='answer   answerof-402349 ' value='1561659'   \/><label for='answer-id-1561659' id='answer-label-1561659' class=' answer'><span>To invalidate the variables that are continuous<\/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-402350'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>Consider the following SQL query: <br \/>\r<br>SELECT product_id FROM supplier_A <br \/>\r<br>UNION <br \/>\r<br>SELECT product_id FROM supplier_B; <br \/>\r<br>What is the expected result?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='402350' \/><input type='hidden' id='answerType402350' 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-402350[]' id='answer-id-1561660' class='answer   answerof-402350 ' value='1561660'   \/><label for='answer-id-1561660' id='answer-label-1561660' class=' answer'><span>All product_id values from both tables with duplicates or repeating rows<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402350[]' id='answer-id-1561661' class='answer   answerof-402350 ' value='1561661'   \/><label for='answer-id-1561661' id='answer-label-1561661' class=' answer'><span>All product_id values from supplier_A table but not from supplier_B table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402350[]' id='answer-id-1561662' class='answer   answerof-402350 ' value='1561662'   \/><label for='answer-id-1561662' id='answer-label-1561662' class=' answer'><span>All product_id values from supplier_B table but not from supplier_A table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402350[]' id='answer-id-1561663' class='answer   answerof-402350 ' value='1561663'   \/><label for='answer-id-1561663' id='answer-label-1561663' class=' answer'><span>All product_id values from both tables with no duplicates or repeating rows<\/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-402351'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>In data visualization, which type of chart is recommended to represent frequency data?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='402351' \/><input type='hidden' id='answerType402351' 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-402351[]' id='answer-id-1561664' class='answer   answerof-402351 ' value='1561664'   \/><label for='answer-id-1561664' id='answer-label-1561664' class=' answer'><span>Line chart<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402351[]' id='answer-id-1561665' class='answer   answerof-402351 ' value='1561665'   \/><label for='answer-id-1561665' id='answer-label-1561665' class=' answer'><span>Histogram<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402351[]' id='answer-id-1561666' class='answer   answerof-402351 ' value='1561666'   \/><label for='answer-id-1561666' id='answer-label-1561666' class=' answer'><span>Q-Q chart<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402351[]' id='answer-id-1561667' class='answer   answerof-402351 ' value='1561667'   \/><label for='answer-id-1561667' id='answer-label-1561667' class=' answer'><span>Scatterplot<\/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-402352'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Which word or phrase completes the statement; \u201cExcessive emphasis color is to Bar chart as __________________.\u201d?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='402352' \/><input type='hidden' id='answerType402352' 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-402352[]' id='answer-id-1561668' class='answer   answerof-402352 ' value='1561668'   \/><label for='answer-id-1561668' id='answer-label-1561668' class=' answer'><span>Multicollinearity is to OLS<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402352[]' id='answer-id-1561669' class='answer   answerof-402352 ' value='1561669'   \/><label for='answer-id-1561669' id='answer-label-1561669' class=' answer'><span>Multicollinearity is to serial correlation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402352[]' id='answer-id-1561670' class='answer   answerof-402352 ' value='1561670'   \/><label for='answer-id-1561670' id='answer-label-1561670' class=' answer'><span>Confidence is to leverage<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402352[]' id='answer-id-1561671' class='answer   answerof-402352 ' value='1561671'   \/><label for='answer-id-1561671' id='answer-label-1561671' class=' answer'><span>Confidence interval is to regression<\/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-402353'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>You submit a MapReduce job to a Hadoop cluster. Although the job was successfully submitted, you notice that it is not completing. <br \/>\r<br>What should be done?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='402353' \/><input type='hidden' id='answerType402353' 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-402353[]' id='answer-id-1561672' class='answer   answerof-402353 ' value='1561672'   \/><label for='answer-id-1561672' id='answer-label-1561672' class=' answer'><span>Ensure that a DataNode is running<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402353[]' id='answer-id-1561673' class='answer   answerof-402353 ' value='1561673'   \/><label for='answer-id-1561673' id='answer-label-1561673' class=' answer'><span>Ensure that the TaskTracker is running<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402353[]' id='answer-id-1561674' class='answer   answerof-402353 ' value='1561674'   \/><label for='answer-id-1561674' id='answer-label-1561674' class=' answer'><span>Ensure that the NameNode is running<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402353[]' id='answer-id-1561675' class='answer   answerof-402353 ' value='1561675'   \/><label for='answer-id-1561675' id='answer-label-1561675' class=' answer'><span>Ensure that the JobTracker is running<\/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-402354'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>Trend, seasonal, and cyclical are components of a time series. <br \/>\r<br>What is another component?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='402354' \/><input type='hidden' id='answerType402354' 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-402354[]' id='answer-id-1561676' class='answer   answerof-402354 ' value='1561676'   \/><label for='answer-id-1561676' id='answer-label-1561676' class=' answer'><span>Irregular<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402354[]' id='answer-id-1561677' class='answer   answerof-402354 ' value='1561677'   \/><label for='answer-id-1561677' id='answer-label-1561677' class=' answer'><span>Linear<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402354[]' id='answer-id-1561678' class='answer   answerof-402354 ' value='1561678'   \/><label for='answer-id-1561678' id='answer-label-1561678' class=' answer'><span>Quadratic<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402354[]' id='answer-id-1561679' class='answer   answerof-402354 ' value='1561679'   \/><label for='answer-id-1561679' id='answer-label-1561679' class=' answer'><span>Exponential<\/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-402355'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=246 height=117 id=\"\u56fe\u7247 247\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image018-7.png\"><br><br \/>\r<br>After analyzing a dataset, you report findings to your team: <br \/>\r<br>1. Variables A and C are significantly and positively impacting the dependent variable. <br \/>\r<br>2. Variable B is significantly and negatively impacting the dependent variable. <br \/>\r<br>3. Variable D is not significantly impacting the dependent variable. <br \/>\r<br>After seeing your findings, the majority of your team agreed that variable B should be positively impacting the dependent variable. <br \/>\r<br>What is a possible reason the coefficient for variable B was negative and not positive?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='402355' \/><input type='hidden' id='answerType402355' 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-402355[]' id='answer-id-1561680' class='answer   answerof-402355 ' value='1561680'   \/><label for='answer-id-1561680' id='answer-label-1561680' class=' answer'><span>Variable B is interacting with another variable due to correlated inputs<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402355[]' id='answer-id-1561681' class='answer   answerof-402355 ' value='1561681'   \/><label for='answer-id-1561681' id='answer-label-1561681' class=' answer'><span>Variable B needs a quadratic transformation due to its relationship to the dependent variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402355[]' id='answer-id-1561682' class='answer   answerof-402355 ' value='1561682'   \/><label for='answer-id-1561682' id='answer-label-1561682' class=' answer'><span>The information gain from variable B is already provided by another variable<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402355[]' id='answer-id-1561683' class='answer   answerof-402355 ' value='1561683'   \/><label for='answer-id-1561683' id='answer-label-1561683' class=' answer'><span>Variable B needs a logarithmic transformation due to its relationship to the dependent variable<\/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-402356'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=553 height=361 id=\"\u56fe\u7247 245\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image019-13.jpg\"><br><br \/>\r<br>You have run a linear regression model against your data, and have plotted true outcome versus predicted outcome. The R-squared of your model is 0.75. <br \/>\r<br>What is your assessment of the model?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='402356' \/><input type='hidden' id='answerType402356' 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-402356[]' id='answer-id-1561684' class='answer   answerof-402356 ' value='1561684'   \/><label for='answer-id-1561684' id='answer-label-1561684' class=' answer'><span>The R-squared may be biased upwards by the extreme-valued outcomes. Remove them and refit to get a better idea of the model's quality over typical data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402356[]' id='answer-id-1561685' class='answer   answerof-402356 ' value='1561685'   \/><label for='answer-id-1561685' id='answer-label-1561685' class=' answer'><span>The R-squared is good. The model should perform well.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402356[]' id='answer-id-1561686' class='answer   answerof-402356 ' value='1561686'   \/><label for='answer-id-1561686' id='answer-label-1561686' class=' answer'><span>The extreme-valued outliers may negatively affect the model's performance. Remove them to see if the R-squared improves over typical data.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402356[]' id='answer-id-1561687' class='answer   answerof-402356 ' value='1561687'   \/><label for='answer-id-1561687' id='answer-label-1561687' class=' answer'><span>The observations seem to come from two different populations, but this model fits them both equally well.<\/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-402357'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>If distributed Item-based Collaborative Filtering is an algorithm supported by Mahout, what is the use case category of the algorithm?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='402357' \/><input type='hidden' id='answerType402357' 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-402357[]' id='answer-id-1561688' class='answer   answerof-402357 ' value='1561688'   \/><label for='answer-id-1561688' id='answer-label-1561688' class=' answer'><span>Classification<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402357[]' id='answer-id-1561689' class='answer   answerof-402357 ' value='1561689'   \/><label for='answer-id-1561689' id='answer-label-1561689' class=' answer'><span>Recommenders<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402357[]' id='answer-id-1561690' class='answer   answerof-402357 ' value='1561690'   \/><label for='answer-id-1561690' id='answer-label-1561690' class=' answer'><span>Frequent Itemset<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402357[]' id='answer-id-1561691' class='answer   answerof-402357 ' value='1561691'   \/><label for='answer-id-1561691' id='answer-label-1561691' class=' answer'><span>Clustering<\/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-402358'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Your risk analysis team has access to new customer financial data. You want to use this data to improve your prediction of credit default. Previously, the team was using only credit bureau scores, loan size, and customer income to assess risk of default. <br \/>\r<br>What is the null hypothesis that should be used to evaluate the model?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='402358' \/><input type='hidden' id='answerType402358' 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-402358[]' id='answer-id-1561692' class='answer   answerof-402358 ' value='1561692'   \/><label for='answer-id-1561692' id='answer-label-1561692' class=' answer'><span>New model predicts as well as the toss of a coin weighted by the average default rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402358[]' id='answer-id-1561693' class='answer   answerof-402358 ' value='1561693'   \/><label for='answer-id-1561693' id='answer-label-1561693' class=' answer'><span>New model predicts better than the toss of a coin weighted by the average default rate<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402358[]' id='answer-id-1561694' class='answer   answerof-402358 ' value='1561694'   \/><label for='answer-id-1561694' id='answer-label-1561694' class=' answer'><span>Model using the new financial data predicts the outcome just as well as the previous model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402358[]' id='answer-id-1561695' class='answer   answerof-402358 ' value='1561695'   \/><label for='answer-id-1561695' id='answer-label-1561695' class=' answer'><span>Model using the new financial data predicts the outcome better than the previous model<\/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-402359'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Which assumption makes the Na&iuml;ve Bayesian classifier different from the general Bayesian model?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='402359' \/><input type='hidden' id='answerType402359' 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-402359[]' id='answer-id-1561696' class='answer   answerof-402359 ' value='1561696'   \/><label for='answer-id-1561696' id='answer-label-1561696' class=' answer'><span>Number of features cannot be greater than the number of records<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402359[]' id='answer-id-1561697' class='answer   answerof-402359 ' value='1561697'   \/><label for='answer-id-1561697' id='answer-label-1561697' class=' answer'><span>Features of a class are conditionally independent of one another<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402359[]' id='answer-id-1561698' class='answer   answerof-402359 ' value='1561698'   \/><label for='answer-id-1561698' id='answer-label-1561698' class=' answer'><span>All variables need to be numeric<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402359[]' id='answer-id-1561699' class='answer   answerof-402359 ' value='1561699'   \/><label for='answer-id-1561699' id='answer-label-1561699' class=' answer'><span>Fewer features can be used with the Na&iuml;ve Bayes classifier<\/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-402360'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=553 height=358 id=\"\u56fe\u7247 240\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image020-15.jpg\"><br><br \/>\r<br>You have plotted the distribution of savings account sizes for your bank. <br \/>\r<br>How would you proceed, based on this distribution?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='402360' \/><input type='hidden' id='answerType402360' 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-402360[]' id='answer-id-1561700' class='answer   answerof-402360 ' value='1561700'   \/><label for='answer-id-1561700' id='answer-label-1561700' class=' answer'><span>The data is extremely skewed. Replot the data on a logarithmic scale to get a better sense of it.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402360[]' id='answer-id-1561701' class='answer   answerof-402360 ' value='1561701'   \/><label for='answer-id-1561701' id='answer-label-1561701' class=' answer'><span>The data is extremely skewed, but looks bimodal; replot the data in the range 2, 500-10, 000 to be sure.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402360[]' id='answer-id-1561702' class='answer   answerof-402360 ' value='1561702'   \/><label for='answer-id-1561702' id='answer-label-1561702' class=' answer'><span>The accounts of size greater than 2500 are rare, and probably outliers. Eliminate them from your future analysis.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402360[]' id='answer-id-1561703' class='answer   answerof-402360 ' value='1561703'   \/><label for='answer-id-1561703' id='answer-label-1561703' class=' answer'><span>The data is extremely skewed. Split your analysis into two cohorts: accounts less than 2500, and accounts greater than 2500<\/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-402361'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>You have the following corpus of texts: <br \/>\r<br>\u201cThe cat hit the dog.\u201d <br \/>\r<br>\u201cThe dog bit the mail carrier.\u201d <br \/>\r<br>\u201cThe mail carrier chased the truck.\u201d <br \/>\r<br>\u201cThe truck hit the wall while avoiding the dog that chased the cat.\u201d <br \/>\r<br>\u201cThe cat climbed the wall.\u201d <br \/>\r<br>If the tf-idf metric is used to score relevance for search and retrieval, which term has the highest discriminatory power?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='402361' \/><input type='hidden' id='answerType402361' 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-402361[]' id='answer-id-1561704' class='answer   answerof-402361 ' value='1561704'   \/><label for='answer-id-1561704' id='answer-label-1561704' class=' answer'><span>Dog<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402361[]' id='answer-id-1561705' class='answer   answerof-402361 ' value='1561705'   \/><label for='answer-id-1561705' id='answer-label-1561705' class=' answer'><span>Chased<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402361[]' id='answer-id-1561706' class='answer   answerof-402361 ' value='1561706'   \/><label for='answer-id-1561706' id='answer-label-1561706' class=' answer'><span>Bit<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402361[]' id='answer-id-1561707' class='answer   answerof-402361 ' value='1561707'   \/><label for='answer-id-1561707' id='answer-label-1561707' class=' answer'><span>Truck<\/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-402362'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>What is required in a presentation for business analysts?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='402362' \/><input type='hidden' id='answerType402362' 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-402362[]' id='answer-id-1561708' class='answer   answerof-402362 ' value='1561708'   \/><label for='answer-id-1561708' id='answer-label-1561708' class=' answer'><span>Budgetary considerations and requests<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402362[]' id='answer-id-1561709' class='answer   answerof-402362 ' value='1561709'   \/><label for='answer-id-1561709' id='answer-label-1561709' class=' answer'><span>Operational process changes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402362[]' id='answer-id-1561710' class='answer   answerof-402362 ' value='1561710'   \/><label for='answer-id-1561710' id='answer-label-1561710' class=' answer'><span>Detailed statistical explanation of the applicable modeling theory<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402362[]' id='answer-id-1561711' class='answer   answerof-402362 ' value='1561711'   \/><label for='answer-id-1561711' id='answer-label-1561711' class=' answer'><span>The presentation author's credentials<\/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-402363'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is &gt; 75%. You calculate lift = 1.011 for the rule, &quot;People with good credit are homeowners&quot;. <br \/>\r<br>What can you determine from the lift calculation?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='402363' \/><input type='hidden' id='answerType402363' 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-402363[]' id='answer-id-1561712' class='answer   answerof-402363 ' value='1561712'   \/><label for='answer-id-1561712' id='answer-label-1561712' class=' answer'><span>Support for the association is low<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402363[]' id='answer-id-1561713' class='answer   answerof-402363 ' value='1561713'   \/><label for='answer-id-1561713' id='answer-label-1561713' class=' answer'><span>Leverage of the rules is low<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402363[]' id='answer-id-1561714' class='answer   answerof-402363 ' value='1561714'   \/><label for='answer-id-1561714' id='answer-label-1561714' class=' answer'><span>The rule is coincidental<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402363[]' id='answer-id-1561715' class='answer   answerof-402363 ' value='1561715'   \/><label for='answer-id-1561715' id='answer-label-1561715' class=' answer'><span>The rule is true<\/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-402364'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>You are provided with a dataset with the following attributes: <br \/>\r<br>1. Customer ID <br \/>\r<br>2. Gender flag <br \/>\r<br>3. Amount spent in last four quarters <br \/>\r<br>4. Age <br \/>\r<br>5. Number of purchases made in last four quarters <br \/>\r<br>6. Store credit card flag <br \/>\r<br>7. Elite program member flag <br \/>\r<br>Based on the attributes provided, your task is to find an alternate set of rules that helps to define which customers are more or less likely to become \u201cElite program members\u201d. <br \/>\r<br>Which analytical method would produce the desired rule set?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='402364' \/><input type='hidden' id='answerType402364' 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-402364[]' id='answer-id-1561716' class='answer   answerof-402364 ' value='1561716'   \/><label for='answer-id-1561716' id='answer-label-1561716' class=' answer'><span>Decision Tree<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402364[]' id='answer-id-1561717' class='answer   answerof-402364 ' value='1561717'   \/><label for='answer-id-1561717' id='answer-label-1561717' class=' answer'><span>Principal Component Analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402364[]' id='answer-id-1561718' class='answer   answerof-402364 ' value='1561718'   \/><label for='answer-id-1561718' id='answer-label-1561718' class=' answer'><span>Linear Regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402364[]' id='answer-id-1561719' class='answer   answerof-402364 ' value='1561719'   \/><label for='answer-id-1561719' id='answer-label-1561719' class=' answer'><span>Neural Network<\/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-402365'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>A call center for a large electronics company handles an average of 35, 000 support calls a day. The head of the call center would like to optimize the staffing of the call center during the rollout of a new product due to recent customer complaints of long wait times. <br \/>\r<br>You have been asked to create a model to optimize call center costs and customer wait times. <br \/>\r<br>The goals for this project include: <br \/>\r<br>1. Relative to the release of a product, how does the call volume change over time? <br \/>\r<br>2. How to best optimize staffing based on the call volume for the newly released product, relative to old products. <br \/>\r<br>3. Historically, what time of day does the call center need to be most heavily staffed? <br \/>\r<br>4. Determine the frequency of calls by both product type and customer language. <br \/>\r<br>Which goals are suitable to be completed with MapReduce?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='402365' \/><input type='hidden' id='answerType402365' 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-402365[]' id='answer-id-1561720' class='answer   answerof-402365 ' value='1561720'   \/><label for='answer-id-1561720' id='answer-label-1561720' class=' answer'><span>Goal 2 and 4<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402365[]' id='answer-id-1561721' class='answer   answerof-402365 ' value='1561721'   \/><label for='answer-id-1561721' id='answer-label-1561721' class=' answer'><span>Goal 1 and 3<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402365[]' id='answer-id-1561722' class='answer   answerof-402365 ' value='1561722'   \/><label for='answer-id-1561722' id='answer-label-1561722' class=' answer'><span>Goals 1, 2, 3, 4<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402365[]' id='answer-id-1561723' class='answer   answerof-402365 ' value='1561723'   \/><label for='answer-id-1561723' id='answer-label-1561723' class=' answer'><span>Goals 2, 3, 4<\/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-402366'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>Review the following code: <br \/>\r<br>SELECT pn, vn, sum(prc*qty) FROM sale <br \/>\r<br>GROUP BY CUBE(pn, vn) ORDER BY 1, 2, 3; <br \/>\r<br>Which combination of subtotals do you expect to be returned by the query?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='402366' \/><input type='hidden' id='answerType402366' 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-402366[]' id='answer-id-1561724' class='answer   answerof-402366 ' value='1561724'   \/><label for='answer-id-1561724' id='answer-label-1561724' class=' answer'><span>(pn, vn)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402366[]' id='answer-id-1561725' class='answer   answerof-402366 ' value='1561725'   \/><label for='answer-id-1561725' id='answer-label-1561725' class=' answer'><span>( (pn, vn), (pn) )<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402366[]' id='answer-id-1561726' class='answer   answerof-402366 ' value='1561726'   \/><label for='answer-id-1561726' id='answer-label-1561726' class=' answer'><span>( (pn, vn) , (pn), (vn) )<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402366[]' id='answer-id-1561727' class='answer   answerof-402366 ' value='1561727'   \/><label for='answer-id-1561727' id='answer-label-1561727' class=' answer'><span>( (pn, vn) , (pn), (vn) , ( ) )<\/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-402367'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>What is a characteristic of an analytic sandbox?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='402367' \/><input type='hidden' id='answerType402367' 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-402367[]' id='answer-id-1561728' class='answer   answerof-402367 ' value='1561728'   \/><label for='answer-id-1561728' id='answer-label-1561728' class=' answer'><span>Access to data and schema is centrally-managed by IT<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402367[]' id='answer-id-1561729' class='answer   answerof-402367 ' value='1561729'   \/><label for='answer-id-1561729' id='answer-label-1561729' class=' answer'><span>Leverages in-database processing to enable high-performance analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402367[]' id='answer-id-1561730' class='answer   answerof-402367 ' value='1561730'   \/><label for='answer-id-1561730' id='answer-label-1561730' class=' answer'><span>Uses OLAP cubes and traditional enterprise data warehouse rules to enable reporting and analytics<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402367[]' id='answer-id-1561731' class='answer   answerof-402367 ' value='1561731'   \/><label for='answer-id-1561731' id='answer-label-1561731' class=' answer'><span>A centralized data repository used for standard reporting<\/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-402368'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>On analyzing the results of a K-means clustering output, you noticed that splits on variables you expected to see were not observed. <br \/>\r<br>What actions should be taken?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='402368' \/><input type='hidden' id='answerType402368' 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-402368[]' id='answer-id-1561732' class='answer   answerof-402368 ' value='1561732'   \/><label for='answer-id-1561732' id='answer-label-1561732' class=' answer'><span>Use the value of K where the value of WSS given for K represents the overall dispersion of the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402368[]' id='answer-id-1561733' class='answer   answerof-402368 ' value='1561733'   \/><label for='answer-id-1561733' id='answer-label-1561733' class=' answer'><span>Decrease the value of K<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402368[]' id='answer-id-1561734' class='answer   answerof-402368 ' value='1561734'   \/><label for='answer-id-1561734' id='answer-label-1561734' class=' answer'><span>Decrease the number of variables in the model<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402368[]' id='answer-id-1561735' class='answer   answerof-402368 ' value='1561735'   \/><label for='answer-id-1561735' id='answer-label-1561735' class=' answer'><span>Increase the value of K<\/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-402369'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>What describes the data repository represented by the 'A' in MAD?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='402369' \/><input type='hidden' id='answerType402369' 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-402369[]' id='answer-id-1561736' class='answer   answerof-402369 ' value='1561736'   \/><label for='answer-id-1561736' id='answer-label-1561736' class=' answer'><span>Attracts all data sources that occur within an organization, regardless of data quality<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402369[]' id='answer-id-1561737' class='answer   answerof-402369 ' value='1561737'   \/><label for='answer-id-1561737' id='answer-label-1561737' class=' answer'><span>Allows analysts to easily ingest, digest, produce, and adapt data at a rapid pace<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402369[]' id='answer-id-1561738' class='answer   answerof-402369 ' value='1561738'   \/><label for='answer-id-1561738' id='answer-label-1561738' class=' answer'><span>Centrally managed and based on long-range, careful design, planning and governance<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402369[]' id='answer-id-1561739' class='answer   answerof-402369 ' value='1561739'   \/><label for='answer-id-1561739' id='answer-label-1561739' class=' answer'><span>Enables analysts to study very large datasets without being limited to samples and extracts<\/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-402370'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=456 height=278 id=\"\u56fe\u7247 229\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image021-6.png\"><br><br \/>\r<br>What is the approximate R-squared value for a linear regression model fitted to the data associated with this scatterplot?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='402370' \/><input type='hidden' id='answerType402370' 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-402370[]' id='answer-id-1561740' class='answer   answerof-402370 ' value='1561740'   \/><label for='answer-id-1561740' id='answer-label-1561740' class=' answer'><span>0.01<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402370[]' id='answer-id-1561741' class='answer   answerof-402370 ' value='1561741'   \/><label for='answer-id-1561741' id='answer-label-1561741' class=' answer'><span>0.96<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402370[]' id='answer-id-1561742' class='answer   answerof-402370 ' value='1561742'   \/><label for='answer-id-1561742' id='answer-label-1561742' class=' answer'><span>4<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402370[]' id='answer-id-1561743' class='answer   answerof-402370 ' value='1561743'   \/><label for='answer-id-1561743' id='answer-label-1561743' class=' answer'><span>16<\/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-402371'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>Based on the graphic, what should be done to begin addressing chart junk? <br \/>\r<br><br><img decoding=\"async\" width=554 height=323 id=\"\u56fe\u7247 227\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image022-13.jpg\"><br><\/div><input type='hidden' name='question_id[]' id='qID_28' value='402371' \/><input type='hidden' id='answerType402371' 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-402371[]' id='answer-id-1561744' class='answer   answerof-402371 ' value='1561744'   \/><label for='answer-id-1561744' id='answer-label-1561744' class=' answer'><span>Remove the vertical gridlines<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402371[]' id='answer-id-1561745' class='answer   answerof-402371 ' value='1561745'   \/><label for='answer-id-1561745' id='answer-label-1561745' class=' answer'><span>Remove the legend<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402371[]' id='answer-id-1561746' class='answer   answerof-402371 ' value='1561746'   \/><label for='answer-id-1561746' id='answer-label-1561746' class=' answer'><span>Reduce the font size in the axis<\/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-402372'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Refer to the graphic. <br \/>\r<br><br><img decoding=\"async\" width=314 height=131 id=\"\u56fe\u7247 225\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image023-5.png\"><br><br \/>\r<br>How would you run the MADlib kmeans function?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='402372' \/><input type='hidden' id='answerType402372' 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-402372[]' id='answer-id-1561747' class='answer   answerof-402372 ' value='1561747'   \/><label for='answer-id-1561747' id='answer-label-1561747' class=' answer'><span>INSERT INTO madlib.kmeans(\u2018km_sample\u2019, \u2018coords\u2019, \u2026 );<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402372[]' id='answer-id-1561748' class='answer   answerof-402372 ' value='1561748'   \/><label for='answer-id-1561748' id='answer-label-1561748' class=' answer'><span>.\/madlib kmeans run Cparallel Csource \u201ckm_sample.coords\u201d \u2026<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402372[]' id='answer-id-1561749' class='answer   answerof-402372 ' value='1561749'   \/><label for='answer-id-1561749' id='answer-label-1561749' class=' answer'><span>UPDATE madlib.kmeans SET centroids = madlib.kmeans(\u2018km_sample\u2019, \u2018coords\u2019, \u2026 );<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402372[]' id='answer-id-1561750' class='answer   answerof-402372 ' value='1561750'   \/><label for='answer-id-1561750' id='answer-label-1561750' class=' answer'><span>SELECT * FROM madlib.kmeans(\u2018km_sample\u2019, \u2018coords\u2019, \u2026 );<\/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-402373'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>What should be subtracted to remove a simple linear trend from a time series?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='402373' \/><input type='hidden' id='answerType402373' 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-402373[]' id='answer-id-1561751' class='answer   answerof-402373 ' value='1561751'   \/><label for='answer-id-1561751' id='answer-label-1561751' class=' answer'><span>Least-squares-fit line<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402373[]' id='answer-id-1561752' class='answer   answerof-402373 ' value='1561752'   \/><label for='answer-id-1561752' id='answer-label-1561752' class=' answer'><span>Expected squared deviation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402373[]' id='answer-id-1561753' class='answer   answerof-402373 ' value='1561753'   \/><label for='answer-id-1561753' id='answer-label-1561753' class=' answer'><span>Expected absolute deviation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402373[]' id='answer-id-1561754' class='answer   answerof-402373 ' value='1561754'   \/><label for='answer-id-1561754' id='answer-label-1561754' class=' answer'><span>Cubic-spline<\/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-402374'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>Which visualization technique should be avoided?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='402374' \/><input type='hidden' id='answerType402374' 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-402374[]' id='answer-id-1561755' class='answer   answerof-402374 ' value='1561755'   \/><label for='answer-id-1561755' id='answer-label-1561755' class=' answer'><span>Using a small number of contrasting colors to draw distinctions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402374[]' id='answer-id-1561756' class='answer   answerof-402374 ' value='1561756'   \/><label for='answer-id-1561756' id='answer-label-1561756' class=' answer'><span>Using visuals to illustrate key points<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402374[]' id='answer-id-1561757' class='answer   answerof-402374 ' value='1561757'   \/><label for='answer-id-1561757' id='answer-label-1561757' class=' answer'><span>Using 3-dimensional charts<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402374[]' id='answer-id-1561758' class='answer   answerof-402374 ' value='1561758'   \/><label for='answer-id-1561758' id='answer-label-1561758' class=' answer'><span>Achieving a high data-ink ratio<\/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-402375'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=485 height=331 id=\"\u56fe\u7247 221\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image024-4.png\"><br><br \/>\r<br>You have scored your Naive bayesian classifier model on a hold out test data for cross validation and determined the way the samples scored and tabluated them as shown in the exhibit. <br \/>\r<br>What are the Precision and Recall rate of the model?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='402375' \/><input type='hidden' id='answerType402375' 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-402375[]' id='answer-id-1561759' class='answer   answerof-402375 ' value='1561759'   \/><label for='answer-id-1561759' id='answer-label-1561759' class=' answer'><span>Precision = 262\/277 Recall = 262\/288<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402375[]' id='answer-id-1561760' class='answer   answerof-402375 ' value='1561760'   \/><label for='answer-id-1561760' id='answer-label-1561760' class=' answer'><span>Precision =262\/288 Recall = 262\/277<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402375[]' id='answer-id-1561761' class='answer   answerof-402375 ' value='1561761'   \/><label for='answer-id-1561761' id='answer-label-1561761' class=' answer'><span>Precision = 277\/262 Recall = 288\/262<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402375[]' id='answer-id-1561762' class='answer   answerof-402375 ' value='1561762'   \/><label for='answer-id-1561762' id='answer-label-1561762' class=' answer'><span>Precision = 288\/262 Recall = 277\/262<\/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-402376'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>What provides the means for matching and manipulating text strings in SQL?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='402376' \/><input type='hidden' id='answerType402376' 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-402376[]' id='answer-id-1561763' class='answer   answerof-402376 ' value='1561763'   \/><label for='answer-id-1561763' id='answer-label-1561763' class=' answer'><span>PACF<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402376[]' id='answer-id-1561764' class='answer   answerof-402376 ' value='1561764'   \/><label for='answer-id-1561764' id='answer-label-1561764' class=' answer'><span>Association rules<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402376[]' id='answer-id-1561765' class='answer   answerof-402376 ' value='1561765'   \/><label for='answer-id-1561765' id='answer-label-1561765' class=' answer'><span>Regular expressions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402376[]' id='answer-id-1561766' class='answer   answerof-402376 ' value='1561766'   \/><label for='answer-id-1561766' id='answer-label-1561766' class=' answer'><span>TF-IDF<\/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-402377'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>Refer to the exhibit. <br \/>\r<br><br><img decoding=\"async\" width=554 height=229 id=\"\u56fe\u7247 218\" src=\"https:\/\/www.dumpsbase.com\/freedumps\/wp-content\/uploads\/2025\/05\/image025-13.jpg\"><br><br \/>\r<br>You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table. <br \/>\r<br>Which column in the end of year report requires the use of a window function?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='402377' \/><input type='hidden' id='answerType402377' 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-402377[]' id='answer-id-1561767' class='answer   answerof-402377 ' value='1561767'   \/><label for='answer-id-1561767' id='answer-label-1561767' class=' answer'><span>Total Sales to Date<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402377[]' id='answer-id-1561768' class='answer   answerof-402377 ' value='1561768'   \/><label for='answer-id-1561768' id='answer-label-1561768' class=' answer'><span>Daily Sales<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402377[]' id='answer-id-1561769' class='answer   answerof-402377 ' value='1561769'   \/><label for='answer-id-1561769' id='answer-label-1561769' class=' answer'><span>Average Daily Price<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402377[]' id='answer-id-1561770' class='answer   answerof-402377 ' value='1561770'   \/><label for='answer-id-1561770' id='answer-label-1561770' class=' answer'><span>Maximum Price<\/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-402378'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>You fit a Logistic Regression model to your training data and notice that the variable X has an infinite magnitude coefficient. <br \/>\r<br>What does this indicate?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='402378' \/><input type='hidden' id='answerType402378' 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-402378[]' id='answer-id-1561771' class='answer   answerof-402378 ' value='1561771'   \/><label for='answer-id-1561771' id='answer-label-1561771' class=' answer'><span>X is completely uncorrelated with the outcome<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402378[]' id='answer-id-1561772' class='answer   answerof-402378 ' value='1561772'   \/><label for='answer-id-1561772' id='answer-label-1561772' class=' answer'><span>X is more correlated with the outcome than any of the other variables<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402378[]' id='answer-id-1561773' class='answer   answerof-402378 ' value='1561773'   \/><label for='answer-id-1561773' id='answer-label-1561773' class=' answer'><span>X is strongly correlated with the outcome for a subset of the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402378[]' id='answer-id-1561774' class='answer   answerof-402378 ' value='1561774'   \/><label for='answer-id-1561774' id='answer-label-1561774' class=' answer'><span>X takes on only one value for most of the training data<\/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-402379'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>What would be considered &quot;Big Data&quot;?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='402379' \/><input type='hidden' id='answerType402379' 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-402379[]' id='answer-id-1561775' class='answer   answerof-402379 ' value='1561775'   \/><label for='answer-id-1561775' id='answer-label-1561775' class=' answer'><span>An OLAP Cube containing customer demographic information about 100, 000, 000 customers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402379[]' id='answer-id-1561776' class='answer   answerof-402379 ' value='1561776'   \/><label for='answer-id-1561776' id='answer-label-1561776' class=' answer'><span>Daily Log files from a web server that receives 100, 000 hits per minute<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402379[]' id='answer-id-1561777' class='answer   answerof-402379 ' value='1561777'   \/><label for='answer-id-1561777' id='answer-label-1561777' class=' answer'><span>Aggregated statistical data stored in a relational database table<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402379[]' id='answer-id-1561778' class='answer   answerof-402379 ' value='1561778'   \/><label for='answer-id-1561778' id='answer-label-1561778' class=' answer'><span>Spreadsheets containing monthly sales data for a Global 100 corporation<\/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-402380'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>You have been assigned to run a linear regression model for each of 5, 000 distinct districts, and all the data is currently stored in a PostgreSQL database. <br \/>\r<br>Which tool\/library would you use to produce these models with the least effort?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='402380' \/><input type='hidden' id='answerType402380' 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-402380[]' id='answer-id-1561779' class='answer   answerof-402380 ' value='1561779'   \/><label for='answer-id-1561779' id='answer-label-1561779' class=' answer'><span>MADlib<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402380[]' id='answer-id-1561780' class='answer   answerof-402380 ' value='1561780'   \/><label for='answer-id-1561780' id='answer-label-1561780' class=' answer'><span>Mahout<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402380[]' id='answer-id-1561781' class='answer   answerof-402380 ' value='1561781'   \/><label for='answer-id-1561781' id='answer-label-1561781' class=' answer'><span>R<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402380[]' id='answer-id-1561782' class='answer   answerof-402380 ' value='1561782'   \/><label for='answer-id-1561782' id='answer-label-1561782' class=' answer'><span>HBase<\/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-402381'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>In addition to quantitative and technical skills, what is a key aspect of the profile of a data scientist?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='402381' \/><input type='hidden' id='answerType402381' 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-402381[]' id='answer-id-1561783' class='answer   answerof-402381 ' value='1561783'   \/><label for='answer-id-1561783' id='answer-label-1561783' class=' answer'><span>Accounting and regulatory skills<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402381[]' id='answer-id-1561784' class='answer   answerof-402381 ' value='1561784'   \/><label for='answer-id-1561784' id='answer-label-1561784' class=' answer'><span>Project management and administrative skills<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402381[]' id='answer-id-1561785' class='answer   answerof-402381 ' value='1561785'   \/><label for='answer-id-1561785' id='answer-label-1561785' class=' answer'><span>Proficient in Microsoft Project and Excel<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402381[]' id='answer-id-1561786' class='answer   answerof-402381 ' value='1561786'   \/><label for='answer-id-1561786' id='answer-label-1561786' class=' answer'><span>Curious and creative<\/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-402382'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>An IT department deployed a spam filter to reduce the amount of junk e-mail received by its employees. After six months, they notice that the spam filter is less effective than when initially deployed. <br \/>\r<br>They examine the system running the spam filter and it appears to be operating normally. <br \/>\r<br>What action would improve the effectiveness of the spam filter?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='402382' \/><input type='hidden' id='answerType402382' 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-402382[]' id='answer-id-1561787' class='answer   answerof-402382 ' value='1561787'   \/><label for='answer-id-1561787' id='answer-label-1561787' class=' answer'><span>Add more processing power to the spam filtering system<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402382[]' id='answer-id-1561788' class='answer   answerof-402382 ' value='1561788'   \/><label for='answer-id-1561788' id='answer-label-1561788' class=' answer'><span>Add more storage to the spam filtering system<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402382[]' id='answer-id-1561789' class='answer   answerof-402382 ' value='1561789'   \/><label for='answer-id-1561789' id='answer-label-1561789' class=' answer'><span>Create a linear regression model to calculate the probability of an email being spam<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402382[]' id='answer-id-1561790' class='answer   answerof-402382 ' value='1561790'   \/><label for='answer-id-1561790' id='answer-label-1561790' class=' answer'><span>Retrain the spam filter with newer examples of spam emails<\/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-402383'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>Which component of a final presentation focuses on how to deploy the model?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='402383' \/><input type='hidden' id='answerType402383' 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-402383[]' id='answer-id-1561791' class='answer   answerof-402383 ' value='1561791'   \/><label for='answer-id-1561791' id='answer-label-1561791' class=' answer'><span>Recommendations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402383[]' id='answer-id-1561792' class='answer   answerof-402383 ' value='1561792'   \/><label for='answer-id-1561792' id='answer-label-1561792' class=' answer'><span>Approach<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402383[]' id='answer-id-1561793' class='answer   answerof-402383 ' value='1561793'   \/><label for='answer-id-1561793' id='answer-label-1561793' class=' answer'><span>Project goals<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-402383[]' id='answer-id-1561794' class='answer   answerof-402383 ' value='1561794'   \/><label for='answer-id-1561794' id='answer-label-1561794' class=' answer'><span>Executive summary<\/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=\"watuPROButtons10131\" >\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>Successfully passing the Dell Data Science Foundations 2023 Exam (D-DS-FN-23) requires thoroughly preparing for the types of questions you&#8217;ll encounter. You can choose the D-DS-FN-23 dumps (V9.02) from DumpsBase, which offer valuable insights to help you prepare effectively. DumpsBase provides an extensive collection of D-DS-FN-23 exam questions that cover all relevant topics. To check them, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17114,125],"tags":[17271,19363],"class_list":["post-106118","post","type-post","status-publish","format-standard","hentry","category-dell-data-science","category-dell-emc","tag-d-ds-fn-23-dumps","tag-d-ds-fn-23-exam-questions"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106118","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=106118"}],"version-history":[{"count":1,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106118\/revisions"}],"predecessor-version":[{"id":106119,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/106118\/revisions\/106119"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=106118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=106118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=106118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}