{"id":89052,"date":"2024-10-04T03:48:34","date_gmt":"2024-10-04T03:48:34","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=89052"},"modified":"2024-10-04T03:48:39","modified_gmt":"2024-10-04T03:48:39","slug":"c1000-154-vs-c1000-177-achieve-the-ibm-certified-data-scientist-watson-specialist-v1-certification-with-the-latest-exam-dumps","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/c1000-154-vs-c1000-177-achieve-the-ibm-certified-data-scientist-watson-specialist-v1-certification-with-the-latest-exam-dumps.html","title":{"rendered":"C1000-154 vs C1000-177: Achieve the IBM Certified Data Scientist &#8211; Watson Specialist v1 Certification with the Latest Exam Dumps"},"content":{"rendered":"\n<p>When planning to achieve the IBM Certified Data Scientist &#8211; Watson Specialist v1 certification, you must take the C1000-154 IBM Watson Data Scientist v1 exam. However, the IBM C1000-154 exam is retiring on Oct 31st, 2024, it will be replaced by the C1000-177 exam. To prepare for the IBM C1000-154 exam well, you can choose DumpsBase\u2019s C1000-154 dumps (V8.02) as your learning materials. DumpsBase provides you with real and verified IBM C1000-154 exam questions and answers that are arranged in a set by C1000-154 IBM Watson Data Scientist v1 Exam experts. You will get IBM C1000-154 real questions from all the topics of the C1000-154 exam which will enhance your skills and understanding of the subject matter. These IBM C1000-154 dumps with actual questions and answers are simple to learn and understand. Learn all these IBM C1000-154 dumps and practice all these questions and answers in a PDF format and testing engine software to ensure your success in the C1000-154 IBM Watson Data Scientist v1 Exam.<\/p>\n<h2><em><span style=\"background-color: #00ff00;\">Check IBM C1000-154 Free Dumps<\/span><\/em> &#8211; Verify the IBM C1000-154 Dumps (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=\"submittingExam8963\" 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-8963\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-8963\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-351292'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>When anticipating additional data sources that might be relevant, what is a crucial factor to consider?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='351292' \/><input type='hidden' id='answerType351292' 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-351292[]' id='answer-id-1372361' class='answer   answerof-351292 ' value='1372361'   \/><label for='answer-id-1372361' id='answer-label-1372361' class=' answer'><span>The color scheme of the data visualization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351292[]' id='answer-id-1372362' class='answer   answerof-351292 ' value='1372362'   \/><label for='answer-id-1372362' id='answer-label-1372362' class=' answer'><span>The data source's popularity on social media<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351292[]' id='answer-id-1372363' class='answer   answerof-351292 ' value='1372363'   \/><label for='answer-id-1372363' id='answer-label-1372363' class=' answer'><span>The relevance of the data source to the business problem<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351292[]' id='answer-id-1372364' class='answer   answerof-351292 ' value='1372364'   \/><label for='answer-id-1372364' id='answer-label-1372364' class=' answer'><span>The graphical interface of the data source<\/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-351293'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions). <br \/>\r<br>Which metric is a good indicator of the performance of the virtual assistant?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='351293' \/><input type='hidden' id='answerType351293' 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-351293[]' id='answer-id-1372365' class='answer   answerof-351293 ' value='1372365'   \/><label for='answer-id-1372365' id='answer-label-1372365' class=' answer'><span>The Area Under the Curve (AUC)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351293[]' id='answer-id-1372366' class='answer   answerof-351293 ' value='1372366'   \/><label for='answer-id-1372366' id='answer-label-1372366' class=' answer'><span>Measure escalated calls using A\/B testing<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351293[]' id='answer-id-1372367' class='answer   answerof-351293 ' value='1372367'   \/><label for='answer-id-1372367' id='answer-label-1372367' class=' answer'><span>The Root Mean Squared Error (RMSE) of words<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351293[]' id='answer-id-1372368' class='answer   answerof-351293 ' value='1372368'   \/><label for='answer-id-1372368' id='answer-label-1372368' class=' answer'><span>The F1 score of predicted intents in the Analytics tab<\/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-351294'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>Which of the following is a critical first step in understanding a business problem for data science projects?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='351294' \/><input type='hidden' id='answerType351294' 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-351294[]' id='answer-id-1372369' class='answer   answerof-351294 ' value='1372369'   \/><label for='answer-id-1372369' id='answer-label-1372369' class=' answer'><span>Selecting the machine learning algorithm<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351294[]' id='answer-id-1372370' class='answer   answerof-351294 ' value='1372370'   \/><label for='answer-id-1372370' id='answer-label-1372370' class=' answer'><span>Defining the project scope<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351294[]' id='answer-id-1372371' class='answer   answerof-351294 ' value='1372371'   \/><label for='answer-id-1372371' id='answer-label-1372371' class=' answer'><span>Choosing the visualization tools<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351294[]' id='answer-id-1372372' class='answer   answerof-351294 ' value='1372372'   \/><label for='answer-id-1372372' id='answer-label-1372372' class=' answer'><span>Deploying the model<\/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-351295'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>How can data splits be made reproducible in a machine learning experiment?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='351295' \/><input type='hidden' id='answerType351295' 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-351295[]' id='answer-id-1372373' class='answer   answerof-351295 ' value='1372373'   \/><label for='answer-id-1372373' id='answer-label-1372373' class=' answer'><span>By using a different random seed each time the data is split<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351295[]' id='answer-id-1372374' class='answer   answerof-351295 ' value='1372374'   \/><label for='answer-id-1372374' id='answer-label-1372374' class=' answer'><span>By partitioning the data manually<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351295[]' id='answer-id-1372375' class='answer   answerof-351295 ' value='1372375'   \/><label for='answer-id-1372375' id='answer-label-1372375' class=' answer'><span>By using a consistent random seed when splitting the data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351295[]' id='answer-id-1372376' class='answer   answerof-351295 ' value='1372376'   \/><label for='answer-id-1372376' id='answer-label-1372376' class=' answer'><span>By splitting the data in a sequential manner without randomization<\/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-351296'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>What is the key difference between batch processing and streaming in data processing?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='351296' \/><input type='hidden' id='answerType351296' 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-351296[]' id='answer-id-1372377' class='answer   answerof-351296 ' value='1372377'   \/><label for='answer-id-1372377' id='answer-label-1372377' class=' answer'><span>Batch processing involves real-time data processing, whereas streaming does not process data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351296[]' id='answer-id-1372378' class='answer   answerof-351296 ' value='1372378'   \/><label for='answer-id-1372378' id='answer-label-1372378' class=' answer'><span>Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351296[]' id='answer-id-1372379' class='answer   answerof-351296 ' value='1372379'   \/><label for='answer-id-1372379' id='answer-label-1372379' class=' answer'><span>Batch processing processes data in large blocks at a time, whereas streaming processes data in real-time as it arrives<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351296[]' id='answer-id-1372380' class='answer   answerof-351296 ' value='1372380'   \/><label for='answer-id-1372380' id='answer-label-1372380' class=' answer'><span>Batch processing processes data in large blocks at a time, whereas streaming processes data in real-time as it arrives<\/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-351297'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='351297' \/><input type='hidden' id='answerType351297' 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-351297[]' id='answer-id-1372381' class='answer   answerof-351297 ' value='1372381'   \/><label for='answer-id-1372381' id='answer-label-1372381' class=' answer'><span>Social media feeds<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351297[]' id='answer-id-1372382' class='answer   answerof-351297 ' value='1372382'   \/><label for='answer-id-1372382' id='answer-label-1372382' class=' answer'><span>Proprietary in-memory databases<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351297[]' id='answer-id-1372383' class='answer   answerof-351297 ' value='1372383'   \/><label for='answer-id-1372383' id='answer-label-1372383' class=' answer'><span>Paper-based records<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351297[]' id='answer-id-1372384' class='answer   answerof-351297 ' value='1372384'   \/><label for='answer-id-1372384' id='answer-label-1372384' class=' answer'><span>Cloud storage services<\/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-351298'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>When selecting a small number of algorithms based on model requirements, what factor should you primarily consider?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='351298' \/><input type='hidden' id='answerType351298' 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-351298[]' id='answer-id-1372385' class='answer   answerof-351298 ' value='1372385'   \/><label for='answer-id-1372385' id='answer-label-1372385' class=' answer'><span>The popularity of the algorithm in recent academic papers.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351298[]' id='answer-id-1372386' class='answer   answerof-351298 ' value='1372386'   \/><label for='answer-id-1372386' id='answer-label-1372386' class=' answer'><span>Compatibility of the algorithm with the data characteristics and the predictive task.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351298[]' id='answer-id-1372387' class='answer   answerof-351298 ' value='1372387'   \/><label for='answer-id-1372387' id='answer-label-1372387' class=' answer'><span>The algorithm that requires the least amount of data preprocessing.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351298[]' id='answer-id-1372388' class='answer   answerof-351298 ' value='1372388'   \/><label for='answer-id-1372388' id='answer-label-1372388' class=' answer'><span>Choosing algorithms that are only based on supervised learning.<\/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-351299'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>The first step in performing exploratory data analysis (EDA) typically involves:<\/div><input type='hidden' name='question_id[]' id='qID_8' value='351299' \/><input type='hidden' id='answerType351299' 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-351299[]' id='answer-id-1372389' class='answer   answerof-351299 ' value='1372389'   \/><label for='answer-id-1372389' id='answer-label-1372389' class=' answer'><span>Choosing a color palette for data visualization<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351299[]' id='answer-id-1372390' class='answer   answerof-351299 ' value='1372390'   \/><label for='answer-id-1372390' id='answer-label-1372390' class=' answer'><span>Determining the hypothesis for the analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351299[]' id='answer-id-1372391' class='answer   answerof-351299 ' value='1372391'   \/><label for='answer-id-1372391' id='answer-label-1372391' class=' answer'><span>Connecting to as many data sources as possible<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351299[]' id='answer-id-1372392' class='answer   answerof-351299 ' value='1372392'   \/><label for='answer-id-1372392' id='answer-label-1372392' class=' answer'><span>Selecting a random sample of data to analyze<\/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-351300'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>In the context of deployment environments, understanding resources is crucial. <br \/>\r<br>What does this typically involve?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='351300' \/><input type='hidden' id='answerType351300' 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-351300[]' id='answer-id-1372393' class='answer   answerof-351300 ' value='1372393'   \/><label for='answer-id-1372393' id='answer-label-1372393' class=' answer'><span>Choosing the most aesthetically pleasing user interface<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351300[]' id='answer-id-1372394' class='answer   answerof-351300 ' value='1372394'   \/><label for='answer-id-1372394' id='answer-label-1372394' class=' answer'><span>Determining the computational power and memory requirements for the deployed solution<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351300[]' id='answer-id-1372395' class='answer   answerof-351300 ' value='1372395'   \/><label for='answer-id-1372395' id='answer-label-1372395' class=' answer'><span>Selecting the programming language with the least number of keywords<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351300[]' id='answer-id-1372396' class='answer   answerof-351300 ' value='1372396'   \/><label for='answer-id-1372396' id='answer-label-1372396' class=' answer'><span>Focusing exclusively on the cost of storage<\/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-351301'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='351301' \/><input type='hidden' id='answerType351301' 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-351301[]' id='answer-id-1372397' class='answer   answerof-351301 ' value='1372397'   \/><label for='answer-id-1372397' id='answer-label-1372397' class=' answer'><span>TensorFlow<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351301[]' id='answer-id-1372398' class='answer   answerof-351301 ' value='1372398'   \/><label for='answer-id-1372398' id='answer-label-1372398' class=' answer'><span>PyTorch<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351301[]' id='answer-id-1372399' class='answer   answerof-351301 ' value='1372399'   \/><label for='answer-id-1372399' id='answer-label-1372399' class=' answer'><span>Pandas<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351301[]' id='answer-id-1372400' class='answer   answerof-351301 ' value='1372400'   \/><label for='answer-id-1372400' id='answer-label-1372400' class=' answer'><span>Keras<\/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-351302'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>When helping businesses articulate and define problems, what is an essential first step?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='351302' \/><input type='hidden' id='answerType351302' 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-351302[]' id='answer-id-1372401' class='answer   answerof-351302 ' value='1372401'   \/><label for='answer-id-1372401' id='answer-label-1372401' class=' answer'><span>Identifying potential data sources<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351302[]' id='answer-id-1372402' class='answer   answerof-351302 ' value='1372402'   \/><label for='answer-id-1372402' id='answer-label-1372402' class=' answer'><span>Defining key performance indicators (KPIs)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351302[]' id='answer-id-1372403' class='answer   answerof-351302 ' value='1372403'   \/><label for='answer-id-1372403' id='answer-label-1372403' class=' answer'><span>Establishing a clear problem statement<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351302[]' id='answer-id-1372404' class='answer   answerof-351302 ' value='1372404'   \/><label for='answer-id-1372404' id='answer-label-1372404' class=' answer'><span>Selecting the analytical techniques<\/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-351303'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed. <br \/>\r<br>During which phase should these non-informative entries be removed in the CRISP-DM model?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='351303' \/><input type='hidden' id='answerType351303' 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-351303[]' id='answer-id-1372405' class='answer   answerof-351303 ' value='1372405'   \/><label for='answer-id-1372405' id='answer-label-1372405' class=' answer'><span>Modeling<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351303[]' id='answer-id-1372406' class='answer   answerof-351303 ' value='1372406'   \/><label for='answer-id-1372406' id='answer-label-1372406' class=' answer'><span>Data Preparation<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351303[]' id='answer-id-1372407' class='answer   answerof-351303 ' value='1372407'   \/><label for='answer-id-1372407' id='answer-label-1372407' class=' answer'><span>Data Understanding<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351303[]' id='answer-id-1372408' class='answer   answerof-351303 ' value='1372408'   \/><label for='answer-id-1372408' id='answer-label-1372408' class=' answer'><span>Business Understanding<\/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-351304'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>What is a key disadvantage of using Grid Search for hyperparameter tuning?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='351304' \/><input type='hidden' id='answerType351304' 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-351304[]' id='answer-id-1372409' class='answer   answerof-351304 ' value='1372409'   \/><label for='answer-id-1372409' id='answer-label-1372409' class=' answer'><span>It is too quick and may miss out on evaluating some hyperparameters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351304[]' id='answer-id-1372410' class='answer   answerof-351304 ' value='1372410'   \/><label for='answer-id-1372410' id='answer-label-1372410' class=' answer'><span>It requires no prior knowledge of the hyperparameters<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351304[]' id='answer-id-1372411' class='answer   answerof-351304 ' value='1372411'   \/><label for='answer-id-1372411' id='answer-label-1372411' class=' answer'><span>It can be computationally expensive and time-consuming due to its exhaustive nature<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351304[]' id='answer-id-1372412' class='answer   answerof-351304 ' value='1372412'   \/><label for='answer-id-1372412' id='answer-label-1372412' class=' answer'><span>It is unable to handle discrete parameters<\/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-351305'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='351305' \/><input type='hidden' id='answerType351305' 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-351305[]' id='answer-id-1372413' class='answer   answerof-351305 ' value='1372413'   \/><label for='answer-id-1372413' id='answer-label-1372413' class=' answer'><span>Key<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351305[]' id='answer-id-1372414' class='answer   answerof-351305 ' value='1372414'   \/><label for='answer-id-1372414' id='answer-label-1372414' class=' answer'><span>Order<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351305[]' id='answer-id-1372415' class='answer   answerof-351305 ' value='1372415'   \/><label for='answer-id-1372415' id='answer-label-1372415' class=' answer'><span>Filter<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351305[]' id='answer-id-1372416' class='answer   answerof-351305 ' value='1372416'   \/><label for='answer-id-1372416' id='answer-label-1372416' class=' answer'><span>Condition<\/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-351306'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Why is it important to create data splits that are reproducible?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='351306' \/><input type='hidden' id='answerType351306' 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-351306[]' id='answer-id-1372417' class='answer   answerof-351306 ' value='1372417'   \/><label for='answer-id-1372417' id='answer-label-1372417' class=' answer'><span>To ensure that each model run can be exactly replicated for verification and comparison<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351306[]' id='answer-id-1372418' class='answer   answerof-351306 ' value='1372418'   \/><label for='answer-id-1372418' id='answer-label-1372418' class=' answer'><span>To guarantee that the model will perform with 100% accuracy on unseen data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351306[]' id='answer-id-1372419' class='answer   answerof-351306 ' value='1372419'   \/><label for='answer-id-1372419' id='answer-label-1372419' class=' answer'><span>To use more data for testing than for training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351306[]' id='answer-id-1372420' class='answer   answerof-351306 ' value='1372420'   \/><label for='answer-id-1372420' id='answer-label-1372420' class=' answer'><span>To allow for larger test sets for more comprehensive testing<\/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-351307'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='351307' \/><input type='hidden' id='answerType351307' 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-351307[]' id='answer-id-1372421' class='answer   answerof-351307 ' value='1372421'   \/><label for='answer-id-1372421' id='answer-label-1372421' class=' answer'><span>Support Vector Machines<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351307[]' id='answer-id-1372422' class='answer   answerof-351307 ' value='1372422'   \/><label for='answer-id-1372422' id='answer-label-1372422' class=' answer'><span>K-Means Clustering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351307[]' id='answer-id-1372423' class='answer   answerof-351307 ' value='1372423'   \/><label for='answer-id-1372423' id='answer-label-1372423' class=' answer'><span>Linear Regression<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351307[]' id='answer-id-1372424' class='answer   answerof-351307 ' value='1372424'   \/><label for='answer-id-1372424' id='answer-label-1372424' class=' answer'><span>Decision Trees<\/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-351308'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='351308' \/><input type='hidden' id='answerType351308' 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-351308[]' id='answer-id-1372425' class='answer   answerof-351308 ' value='1372425'   \/><label for='answer-id-1372425' id='answer-label-1372425' class=' answer'><span>It ensures that the model is trained on the maximum amount of data possible<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351308[]' id='answer-id-1372426' class='answer   answerof-351308 ' value='1372426'   \/><label for='answer-id-1372426' id='answer-label-1372426' class=' answer'><span>It allows for the model to be validated and tested on different subsets of data to check its generalization ability<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351308[]' id='answer-id-1372427' class='answer   answerof-351308 ' value='1372427'   \/><label for='answer-id-1372427' id='answer-label-1372427' class=' answer'><span>It guarantees that the model will perform with 100% accuracy on unseen data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351308[]' id='answer-id-1372428' class='answer   answerof-351308 ' value='1372428'   \/><label for='answer-id-1372428' id='answer-label-1372428' class=' answer'><span>It increases the computational complexity without improving model performance<\/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-351309'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>Which of the following is true about the AUC measure in the context of classification models?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='351309' \/><input type='hidden' id='answerType351309' 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-351309[]' id='answer-id-1372429' class='answer   answerof-351309 ' value='1372429'   \/><label for='answer-id-1372429' id='answer-label-1372429' class=' answer'><span>It represents the degree of separability between classes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351309[]' id='answer-id-1372430' class='answer   answerof-351309 ' value='1372430'   \/><label for='answer-id-1372430' id='answer-label-1372430' class=' answer'><span>It is less useful when the classes are highly imbalanced.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351309[]' id='answer-id-1372431' class='answer   answerof-351309 ' value='1372431'   \/><label for='answer-id-1372431' id='answer-label-1372431' class=' answer'><span>It indicates the number of false positives.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351309[]' id='answer-id-1372432' class='answer   answerof-351309 ' value='1372432'   \/><label for='answer-id-1372432' id='answer-label-1372432' class=' answer'><span>It measures the model's accuracy using a single threshold.<\/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-351310'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>What is the primary purpose of partitioning data into training and test sets?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='351310' \/><input type='hidden' id='answerType351310' 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-351310[]' id='answer-id-1372433' class='answer   answerof-351310 ' value='1372433'   \/><label for='answer-id-1372433' id='answer-label-1372433' class=' answer'><span>To ensure that the model gets exposed to all possible data scenarios during training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351310[]' id='answer-id-1372434' class='answer   answerof-351310 ' value='1372434'   \/><label for='answer-id-1372434' id='answer-label-1372434' class=' answer'><span>To maximize the accuracy of the model by using all data for training<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351310[]' id='answer-id-1372435' class='answer   answerof-351310 ' value='1372435'   \/><label for='answer-id-1372435' id='answer-label-1372435' class=' answer'><span>To evaluate the model's performance on unseen data<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351310[]' id='answer-id-1372436' class='answer   answerof-351310 ' value='1372436'   \/><label for='answer-id-1372436' id='answer-label-1372436' class=' answer'><span>To increase the computational efficiency of model training<\/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-351311'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>Which analytic technique is NOT typically used to address business requirements?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='351311' \/><input type='hidden' id='answerType351311' 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-351311[]' id='answer-id-1372437' class='answer   answerof-351311 ' value='1372437'   \/><label for='answer-id-1372437' id='answer-label-1372437' class=' answer'><span>Regression analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351311[]' id='answer-id-1372438' class='answer   answerof-351311 ' value='1372438'   \/><label for='answer-id-1372438' id='answer-label-1372438' class=' answer'><span>Clustering<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351311[]' id='answer-id-1372439' class='answer   answerof-351311 ' value='1372439'   \/><label for='answer-id-1372439' id='answer-label-1372439' class=' answer'><span>Decision trees<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351311[]' id='answer-id-1372440' class='answer   answerof-351311 ' value='1372440'   \/><label for='answer-id-1372440' id='answer-label-1372440' class=' answer'><span>Proofreading<\/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-351312'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='351312' \/><input type='hidden' id='answerType351312' 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-351312[]' id='answer-id-1372441' class='answer   answerof-351312 ' value='1372441'   \/><label for='answer-id-1372441' id='answer-label-1372441' class=' answer'><span>vim<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-351312[]' id='answer-id-1372442' class='answer   answerof-351312 ' value='1372442'   \/><label for='answer-id-1372442' id='answer-label-1372442' class=' answer'><span>pip<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-351312[]' id='answer-id-1372443' class='answer   answerof-351312 ' value='1372443'   \/><label for='answer-id-1372443' id='answer-label-1372443' class=' answer'><span>sudo<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-351312[]' id='answer-id-1372444' class='answer   answerof-351312 ' value='1372444'   \/><label for='answer-id-1372444' id='answer-label-1372444' class=' answer'><span>bash<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='checkbox' name='answer-351312[]' id='answer-id-1372445' class='answer   answerof-351312 ' value='1372445'   \/><label for='answer-id-1372445' id='answer-label-1372445' class=' answer'><span>conda<\/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-351313'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>Which statement describes bagging?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='351313' \/><input type='hidden' id='answerType351313' 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-351313[]' id='answer-id-1372446' class='answer   answerof-351313 ' value='1372446'   \/><label for='answer-id-1372446' id='answer-label-1372446' class=' answer'><span>Building models and using their output as features into a final model.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351313[]' id='answer-id-1372447' class='answer   answerof-351313 ' value='1372447'   \/><label for='answer-id-1372447' id='answer-label-1372447' class=' answer'><span>Building models in parallel and aggregating their predictions to select the final prediction.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351313[]' id='answer-id-1372448' class='answer   answerof-351313 ' value='1372448'   \/><label for='answer-id-1372448' id='answer-label-1372448' class=' answer'><span>Building models sequentially and evaluating the success of earlier models. It combines a set of weak learners into a strong learner.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351313[]' id='answer-id-1372449' class='answer   answerof-351313 ' value='1372449'   \/><label for='answer-id-1372449' id='answer-label-1372449' class=' answer'><span>Building models with artificial neural networks based on the sharedweight architecture of the convolution kernels or filters.<\/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-351314'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>Assessing the feasibility of a solution(s) often requires evaluating:<\/div><input type='hidden' name='question_id[]' id='qID_23' value='351314' \/><input type='hidden' id='answerType351314' 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-351314[]' id='answer-id-1372450' class='answer   answerof-351314 ' value='1372450'   \/><label for='answer-id-1372450' id='answer-label-1372450' class=' answer'><span>The color scheme of the user interface<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351314[]' id='answer-id-1372451' class='answer   answerof-351314 ' value='1372451'   \/><label for='answer-id-1372451' id='answer-label-1372451' class=' answer'><span>Market competition only<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351314[]' id='answer-id-1372452' class='answer   answerof-351314 ' value='1372452'   \/><label for='answer-id-1372452' id='answer-label-1372452' class=' answer'><span>Technical feasibility, cost, and time constraints<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351314[]' id='answer-id-1372453' class='answer   answerof-351314 ' value='1372453'   \/><label for='answer-id-1372453' id='answer-label-1372453' class=' answer'><span>Preferred communication channels of the project manager<\/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-351315'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>Which statement best differentiates machine learning from deep learning?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='351315' \/><input type='hidden' id='answerType351315' 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-351315[]' id='answer-id-1372454' class='answer   answerof-351315 ' value='1372454'   \/><label for='answer-id-1372454' id='answer-label-1372454' class=' answer'><span>Machine learning algorithms perform better on structured data, while deep learning excels with unstructured data like images and text.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351315[]' id='answer-id-1372455' class='answer   answerof-351315 ' value='1372455'   \/><label for='answer-id-1372455' id='answer-label-1372455' class=' answer'><span>Deep learning algorithms require less data to learn.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351315[]' id='answer-id-1372456' class='answer   answerof-351315 ' value='1372456'   \/><label for='answer-id-1372456' id='answer-label-1372456' class=' answer'><span>Machine learning models are always transparent, whereas deep learning models cannot be interpreted.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351315[]' id='answer-id-1372457' class='answer   answerof-351315 ' value='1372457'   \/><label for='answer-id-1372457' id='answer-label-1372457' class=' answer'><span>Deep learning algorithms are a subset of machine learning algorithms that do not require feature engineering.<\/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-351316'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>Given the Confusion matrix below, which is the formula for specificity?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='351316' \/><input type='hidden' id='answerType351316' 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-351316[]' id='answer-id-1372458' class='answer   answerof-351316 ' value='1372458'   \/><label for='answer-id-1372458' id='answer-label-1372458' class=' answer'><span>TN\/(TN + FP)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351316[]' id='answer-id-1372459' class='answer   answerof-351316 ' value='1372459'   \/><label for='answer-id-1372459' id='answer-label-1372459' class=' answer'><span>TP\/(FP + TP)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351316[]' id='answer-id-1372460' class='answer   answerof-351316 ' value='1372460'   \/><label for='answer-id-1372460' id='answer-label-1372460' class=' answer'><span>TP\/(FN + TP)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351316[]' id='answer-id-1372461' class='answer   answerof-351316 ' value='1372461'   \/><label for='answer-id-1372461' id='answer-label-1372461' class=' answer'><span>(TP + TN)\/(FN + FP + TN + TP)<\/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-351317'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>F1-score is particularly useful when:<\/div><input type='hidden' name='question_id[]' id='qID_26' value='351317' \/><input type='hidden' id='answerType351317' 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-351317[]' id='answer-id-1372462' class='answer   answerof-351317 ' value='1372462'   \/><label for='answer-id-1372462' id='answer-label-1372462' class=' answer'><span>You need a balance between precision and recall.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351317[]' id='answer-id-1372463' class='answer   answerof-351317 ' value='1372463'   \/><label for='answer-id-1372463' id='answer-label-1372463' class=' answer'><span>The dataset size is extremely large.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351317[]' id='answer-id-1372464' class='answer   answerof-351317 ' value='1372464'   \/><label for='answer-id-1372464' id='answer-label-1372464' class=' answer'><span>Only the model's accuracy matters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351317[]' id='answer-id-1372465' class='answer   answerof-351317 ' value='1372465'   \/><label for='answer-id-1372465' id='answer-label-1372465' class=' answer'><span>The data is completely balanced.<\/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-351318'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>Cloud Pak for Data's integration with Spark allows users to:<\/div><input type='hidden' name='question_id[]' id='qID_27' value='351318' \/><input type='hidden' id='answerType351318' 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-351318[]' id='answer-id-1372466' class='answer   answerof-351318 ' value='1372466'   \/><label for='answer-id-1372466' id='answer-label-1372466' class=' answer'><span>Perform complex computations on small datasets only<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351318[]' id='answer-id-1372467' class='answer   answerof-351318 ' value='1372467'   \/><label for='answer-id-1372467' id='answer-label-1372467' class=' answer'><span>Leverage distributed computing for processing large datasets efficiently<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351318[]' id='answer-id-1372468' class='answer   answerof-351318 ' value='1372468'   \/><label for='answer-id-1372468' id='answer-label-1372468' class=' answer'><span>Avoid using any form of data processing or analysis<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351318[]' id='answer-id-1372469' class='answer   answerof-351318 ' value='1372469'   \/><label for='answer-id-1372469' id='answer-label-1372469' class=' answer'><span>Use Spark exclusively for data visualization purposes<\/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-351319'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>What is data leakage in the context of model training?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='351319' \/><input type='hidden' id='answerType351319' 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-351319[]' id='answer-id-1372470' class='answer   answerof-351319 ' value='1372470'   \/><label for='answer-id-1372470' id='answer-label-1372470' class=' answer'><span>When data from outside the training dataset is accidentally included in the training process<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351319[]' id='answer-id-1372471' class='answer   answerof-351319 ' value='1372471'   \/><label for='answer-id-1372471' id='answer-label-1372471' class=' answer'><span>A situation where the test data is not available<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351319[]' id='answer-id-1372472' class='answer   answerof-351319 ' value='1372472'   \/><label for='answer-id-1372472' id='answer-label-1372472' class=' answer'><span>Leakage of sensitive information due to poor data handling practices<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351319[]' id='answer-id-1372473' class='answer   answerof-351319 ' value='1372473'   \/><label for='answer-id-1372473' id='answer-label-1372473' class=' answer'><span>Loss of data during the splitting process<\/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-351320'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Which statistical method reduces the number of attributes by lumping highly correlated attributes together?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='351320' \/><input type='hidden' id='answerType351320' 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-351320[]' id='answer-id-1372474' class='answer   answerof-351320 ' value='1372474'   \/><label for='answer-id-1372474' id='answer-label-1372474' class=' answer'><span>Binning<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351320[]' id='answer-id-1372475' class='answer   answerof-351320 ' value='1372475'   \/><label for='answer-id-1372475' id='answer-label-1372475' class=' answer'><span>Principal Component Analysis (PCA)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351320[]' id='answer-id-1372476' class='answer   answerof-351320 ' value='1372476'   \/><label for='answer-id-1372476' id='answer-label-1372476' class=' answer'><span>Long Short Term Memory Network (LSTM)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351320[]' id='answer-id-1372477' class='answer   answerof-351320 ' value='1372477'   \/><label for='answer-id-1372477' id='answer-label-1372477' class=' answer'><span>Synthetic Minority Over-sampling Technique (SMOTE)<\/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-351321'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>In classification models, which of the following metrics is NOT directly derived from the confusion matrix?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='351321' \/><input type='hidden' id='answerType351321' 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-351321[]' id='answer-id-1372478' class='answer   answerof-351321 ' value='1372478'   \/><label for='answer-id-1372478' id='answer-label-1372478' class=' answer'><span>Precision<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351321[]' id='answer-id-1372479' class='answer   answerof-351321 ' value='1372479'   \/><label for='answer-id-1372479' id='answer-label-1372479' class=' answer'><span>Recall<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351321[]' id='answer-id-1372480' class='answer   answerof-351321 ' value='1372480'   \/><label for='answer-id-1372480' id='answer-label-1372480' class=' answer'><span>Mean Absolute Error (MAE)<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-351321[]' id='answer-id-1372481' class='answer   answerof-351321 ' value='1372481'   \/><label for='answer-id-1372481' id='answer-label-1372481' class=' answer'><span>F1-score<\/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=\"watuPROButtons8963\" >\n\t\t  <div id=\"prev-question\" style=\"display:none;\"><input type=\"button\" value=\"&lt; Previous\" 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