{"id":115486,"date":"2025-11-28T06:00:15","date_gmt":"2025-11-28T06:00:15","guid":{"rendered":"https:\/\/www.dumpsbase.com\/freedumps\/?p=115486"},"modified":"2025-12-05T06:51:59","modified_gmt":"2025-12-05T06:51:59","slug":"selecting-the-updated-salesforce-agentforce-specialist-dumps-v13-02-for-exam-preparation-check-our-salesforce-agentforce-specialist-free-dumps-part-1-q1-q40-first","status":"publish","type":"post","link":"https:\/\/www.dumpsbase.com\/freedumps\/selecting-the-updated-salesforce-agentforce-specialist-dumps-v13-02-for-exam-preparation-check-our-salesforce-agentforce-specialist-free-dumps-part-1-q1-q40-first.html","title":{"rendered":"Selecting the Updated Salesforce Agentforce Specialist Dumps (V13.02) for Exam Preparation: Check Our Salesforce Agentforce Specialist Free Dumps (Part 1, Q1-Q40) First"},"content":{"rendered":"<p>Passing the Salesforce Agentforce Specialist certification exam can often be daunting, with a wide array of exam outlines and a limited time for study. But focus on DumpsBase, we have updated the Salesforce Agentforce Specialist dumps to V13.02, ensuring you have the reliable study materials to make preparations. We have collected 300 questions and answers in V13.02, designed to align with the most current exam objectives. In addition to straightforward question-and-answer formats, these dumps often include detailed explanations that can shed light on why certain answers are correct. You can trust that the updated Salesforce Agentforce Specialist exam dumps help you build a stronger foundational knowledge, ensuring that when the exam day arrives, you&#8217;re not just memorizing answers but truly understanding the concepts. To check the quality of V13.02, we have free dumps online for reading.<\/p>\n<h2>Below are our <span style=\"background-color: #ccffcc;\"><em>Salesforce Agentforce Specialist free dumps (Part 1, Q1-Q40) of V13.02<\/em><\/span> for reading:<\/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=\"submittingExam11250\" 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-11250\"><\/div>\n\n<form action=\"\" method=\"post\" class=\"quiz-form\" id=\"quiz-11250\"  enctype=\"multipart\/form-data\" >\n<div class='watu-question ' id='question-1' style=';'><div id='questionWrap-1'  class='   watupro-question-id-442348'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>1. <\/span>What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?<\/div><input type='hidden' name='question_id[]' id='qID_1' value='442348' \/><input type='hidden' id='answerType442348' 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-442348[]' id='answer-id-1711610' class='answer   answerof-442348 ' value='1711610'   \/><label for='answer-id-1711610' id='answer-label-1711610' class=' answer'><span>Deploy agent components without a test run in staging, relying on production data for reliable results. Sandbox configuration alone ensures seamless production deployment.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442348[]' id='answer-id-1711611' class='answer   answerof-442348 ' value='1711611'   \/><label for='answer-id-1711611' id='answer-label-1711611' class=' answer'><span>Ensure all dependencies are included, Apex classes meet 75% test coverage, and configuration settings are aligned with production. Plan for version management and post-deployment activation.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442348[]' id='answer-id-1711612' class='answer   answerof-442348 ' value='1711612'   \/><label for='answer-id-1711612' id='answer-label-1711612' class=' answer'><span>Deploy flows or Apex after agents, topics, and Agent Actions to avoid deployment failures and potential production agent issues requiring complete redeployment.<\/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-442349'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>2. <\/span>Universal Containers needs its sales reps to be able to only execute prompt templates. <br \/>\r<br>What should the company use to achieve this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_2' value='442349' \/><input type='hidden' id='answerType442349' 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-442349[]' id='answer-id-1711613' class='answer   answerof-442349 ' value='1711613'   \/><label for='answer-id-1711613' id='answer-label-1711613' class=' answer'><span>Prompt Execute Template permission set<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442349[]' id='answer-id-1711614' class='answer   answerof-442349 ' value='1711614'   \/><label for='answer-id-1711614' id='answer-label-1711614' class=' answer'><span>Prompt Template User permission set<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442349[]' id='answer-id-1711615' class='answer   answerof-442349 ' value='1711615'   \/><label for='answer-id-1711615' id='answer-label-1711615' class=' answer'><span>Prompt Template Manager permission set<\/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-442350'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>3. <\/span>Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. <br \/>\r<br>Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?<\/div><input type='hidden' name='question_id[]' id='qID_3' value='442350' \/><input type='hidden' id='answerType442350' 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-442350[]' id='answer-id-1711616' class='answer   answerof-442350 ' value='1711616'   \/><label for='answer-id-1711616' id='answer-label-1711616' class=' answer'><span>Save as New Template and edit as needed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442350[]' id='answer-id-1711617' class='answer   answerof-442350 ' value='1711617'   \/><label for='answer-id-1711617' id='answer-label-1711617' class=' answer'><span>Clone the existing template and modify as needed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442350[]' id='answer-id-1711618' class='answer   answerof-442350 ' value='1711618'   \/><label for='answer-id-1711618' id='answer-label-1711618' class=' answer'><span>Save as New Version and edit as needed.<\/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-442351'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>4. <\/span>Where should the Agentforce Specialist go to add\/update actions assigned to a copilot?<\/div><input type='hidden' name='question_id[]' id='qID_4' value='442351' \/><input type='hidden' id='answerType442351' 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-442351[]' id='answer-id-1711619' class='answer   answerof-442351 ' value='1711619'   \/><label for='answer-id-1711619' id='answer-label-1711619' class=' answer'><span>Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442351[]' id='answer-id-1711620' class='answer   answerof-442351 ' value='1711620'   \/><label for='answer-id-1711620' id='answer-label-1711620' class=' answer'><span>Copilot Actions page or Global Actions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442351[]' id='answer-id-1711621' class='answer   answerof-442351 ' value='1711621'   \/><label for='answer-id-1711621' id='answer-label-1711621' class=' answer'><span>Copilot Detail page, Global Actions, or the record page for the copilot action<\/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-442352'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>5. <\/span>When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. <br \/>\r<br>Which information does the Resolution text provide?<\/div><input type='hidden' name='question_id[]' id='qID_5' value='442352' \/><input type='hidden' id='answerType442352' 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-442352[]' id='answer-id-1711622' class='answer   answerof-442352 ' value='1711622'   \/><label for='answer-id-1711622' id='answer-label-1711622' class=' answer'><span>It shows the full text that is sent to the Trust Layer.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442352[]' id='answer-id-1711623' class='answer   answerof-442352 ' value='1711623'   \/><label for='answer-id-1711623' id='answer-label-1711623' class=' answer'><span>It shows the response from the LLM based on the sample record.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442352[]' id='answer-id-1711624' class='answer   answerof-442352 ' value='1711624'   \/><label for='answer-id-1711624' id='answer-label-1711624' class=' answer'><span>It shows which sensitive data is masked before it is sent to the LL<\/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-442353'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>6. <\/span>What is true of Agentforce Testing Center?<\/div><input type='hidden' name='question_id[]' id='qID_6' value='442353' \/><input type='hidden' id='answerType442353' 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-442353[]' id='answer-id-1711625' class='answer   answerof-442353 ' value='1711625'   \/><label for='answer-id-1711625' id='answer-label-1711625' class=' answer'><span>Running tests risks modifying CRM data in a production environment.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442353[]' id='answer-id-1711626' class='answer   answerof-442353 ' value='1711626'   \/><label for='answer-id-1711626' id='answer-label-1711626' class=' answer'><span>Running tests does not consume Einstein Requests.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442353[]' id='answer-id-1711627' class='answer   answerof-442353 ' value='1711627'   \/><label for='answer-id-1711627' id='answer-label-1711627' class=' answer'><span>Agentforce Testing Center can only be used in a production environment.<\/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-442354'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>7. <\/span>Universal Containers has implemented an agent that answers questions based on Knowledge articles. <br \/>\r<br>Which topic and Agent Action will be shown in the Agent Builder?<\/div><input type='hidden' name='question_id[]' id='qID_7' value='442354' \/><input type='hidden' id='answerType442354' 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-442354[]' id='answer-id-1711628' class='answer   answerof-442354 ' value='1711628'   \/><label for='answer-id-1711628' id='answer-label-1711628' class=' answer'><span>General Q&amp;A topic and Knowledge Article Answers action.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442354[]' id='answer-id-1711629' class='answer   answerof-442354 ' value='1711629'   \/><label for='answer-id-1711629' id='answer-label-1711629' class=' answer'><span>General CRM topic and Answers Questions with LLM Action.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442354[]' id='answer-id-1711630' class='answer   answerof-442354 ' value='1711630'   \/><label for='answer-id-1711630' id='answer-label-1711630' class=' answer'><span>General FAQ topic and Answers Questions with Knowledge Action.<\/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-442355'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>8. <\/span>An Agentforce wants to ground a new prompt template with the User related list. <br \/>\r<br>What should the Agentforce Specialist consider?<\/div><input type='hidden' name='question_id[]' id='qID_8' value='442355' \/><input type='hidden' id='answerType442355' 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-442355[]' id='answer-id-1711631' class='answer   answerof-442355 ' value='1711631'   \/><label for='answer-id-1711631' id='answer-label-1711631' class=' answer'><span>The User related list should have View All access.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442355[]' id='answer-id-1711632' class='answer   answerof-442355 ' value='1711632'   \/><label for='answer-id-1711632' id='answer-label-1711632' class=' answer'><span>The User related list needs to be included on the record page.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442355[]' id='answer-id-1711633' class='answer   answerof-442355 ' value='1711633'   \/><label for='answer-id-1711633' id='answer-label-1711633' class=' answer'><span>The User related list is not supported in prompt templates.<\/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-442356'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>9. <\/span>Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service. <br \/>\r<br>No data is used for LLM training or product improvements by third- party LLMs. <br \/>\r<br>No data is retained outside of UC's Salesforce org. <br \/>\r<br>The data sent cannot be accessed by the LLM provider. <br \/>\r<br>Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?<\/div><input type='hidden' name='question_id[]' id='qID_9' value='442356' \/><input type='hidden' id='answerType442356' 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-442356[]' id='answer-id-1711634' class='answer   answerof-442356 ' value='1711634'   \/><label for='answer-id-1711634' id='answer-label-1711634' class=' answer'><span>Prompt Defense<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442356[]' id='answer-id-1711635' class='answer   answerof-442356 ' value='1711635'   \/><label for='answer-id-1711635' id='answer-label-1711635' class=' answer'><span>Zero-Data Retention Policy<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442356[]' id='answer-id-1711636' class='answer   answerof-442356 ' value='1711636'   \/><label for='answer-id-1711636' id='answer-label-1711636' class=' answer'><span>Data Masking<\/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-442357'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>10. <\/span>An Agentforce wants to include data from the response of external service invocation (REST API callout) into the prompt template. <br \/>\r<br>How should the Agentforce Specialist meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_10' value='442357' \/><input type='hidden' id='answerType442357' 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-442357[]' id='answer-id-1711637' class='answer   answerof-442357 ' value='1711637'   \/><label for='answer-id-1711637' id='answer-label-1711637' class=' answer'><span>Convert the JSON to an XML merge field.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442357[]' id='answer-id-1711638' class='answer   answerof-442357 ' value='1711638'   \/><label for='answer-id-1711638' id='answer-label-1711638' class=' answer'><span>Use External Service Record merge fields.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442357[]' id='answer-id-1711639' class='answer   answerof-442357 ' value='1711639'   \/><label for='answer-id-1711639' id='answer-label-1711639' class=' answer'><span>Use \u201cAdd Prompt Instructions\u201d flow element.<\/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-442358'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>11. <\/span>For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?<\/div><input type='hidden' name='question_id[]' id='qID_11' value='442358' \/><input type='hidden' id='answerType442358' 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-442358[]' id='answer-id-1711640' class='answer   answerof-442358 ' value='1711640'   \/><label for='answer-id-1711640' id='answer-label-1711640' class=' answer'><span>Indexes the uploaded files in a location specified by the user<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442358[]' id='answer-id-1711641' class='answer   answerof-442358 ' value='1711641'   \/><label for='answer-id-1711641' id='answer-label-1711641' class=' answer'><span>Indexes the uploaded files into Data Cloud<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442358[]' id='answer-id-1711642' class='answer   answerof-442358 ' value='1711642'   \/><label for='answer-id-1711642' id='answer-label-1711642' class=' answer'><span>Indexes the uploaded files in Salesforce File Storage<\/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-442359'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>12. <\/span>Universal Containers (UC) wants to limit an agent\u2019s access to Knowledge articles while deploying the &quot;Answer Questions with Knowledge&quot; action. <br \/>\r<br>How should UC achieve this?<\/div><input type='hidden' name='question_id[]' id='qID_12' value='442359' \/><input type='hidden' id='answerType442359' 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-442359[]' id='answer-id-1711643' class='answer   answerof-442359 ' value='1711643'   \/><label for='answer-id-1711643' id='answer-label-1711643' class=' answer'><span>Define scope instructions to the agent specifying a list of allowed article titles or IDs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442359[]' id='answer-id-1711644' class='answer   answerof-442359 ' value='1711644'   \/><label for='answer-id-1711644' id='answer-label-1711644' class=' answer'><span>Update the Data Library Retriever to filter on a custom field on the Knowledge article.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442359[]' id='answer-id-1711645' class='answer   answerof-442359 ' value='1711645'   \/><label for='answer-id-1711645' id='answer-label-1711645' class=' answer'><span>Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.<\/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-442360'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>13. <\/span>Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the &quot;Save As&quot; function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters. <br \/>\r<br>What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?<\/div><input type='hidden' name='question_id[]' id='qID_13' value='442360' \/><input type='hidden' id='answerType442360' 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-442360[]' id='answer-id-1711646' class='answer   answerof-442360 ' value='1711646'   \/><label for='answer-id-1711646' id='answer-label-1711646' class=' answer'><span>Use Model Playground to create a model configuration with the specified parameters.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442360[]' id='answer-id-1711647' class='answer   answerof-442360 ' value='1711647'   \/><label for='answer-id-1711647' id='answer-label-1711647' class=' answer'><span>Manually add the hyperparameters to the new template.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442360[]' id='answer-id-1711648' class='answer   answerof-442360 ' value='1711648'   \/><label for='answer-id-1711648' id='answer-label-1711648' class=' answer'><span>Revert to using the standard template without modifications.<\/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-442361'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>14. <\/span>Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. <br \/>\r<br>Which features should the Agentforce Specialist recommend?<\/div><input type='hidden' name='question_id[]' id='qID_14' value='442361' \/><input type='hidden' id='answerType442361' 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-442361[]' id='answer-id-1711649' class='answer   answerof-442361 ' value='1711649'   \/><label for='answer-id-1711649' id='answer-label-1711649' class=' answer'><span>Service Replies and Case Summaries<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442361[]' id='answer-id-1711650' class='answer   answerof-442361 ' value='1711650'   \/><label for='answer-id-1711650' id='answer-label-1711650' class=' answer'><span>Service Replies and Work Summaries<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442361[]' id='answer-id-1711651' class='answer   answerof-442361 ' value='1711651'   \/><label for='answer-id-1711651' id='answer-label-1711651' class=' answer'><span>Reply Recommendations and Sales Summaries<\/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-442362'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>15. <\/span>Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles. When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly. <br \/>\r<br>What should UC do to troubleshoot the issue?<\/div><input type='hidden' name='question_id[]' id='qID_15' value='442362' \/><input type='hidden' id='answerType442362' 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-442362[]' id='answer-id-1711652' class='answer   answerof-442362 ' value='1711652'   \/><label for='answer-id-1711652' id='answer-label-1711652' class=' answer'><span>Create a new permission set that assigns &quot;Manage Knowledge&quot; and assign it to the Agentforce Service Agent User.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442362[]' id='answer-id-1711653' class='answer   answerof-442362 ' value='1711653'   \/><label for='answer-id-1711653' id='answer-label-1711653' class=' answer'><span>Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442362[]' id='answer-id-1711654' class='answer   answerof-442362 ' value='1711654'   \/><label for='answer-id-1711654' id='answer-label-1711654' class=' answer'><span>Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.<\/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-442363'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>16. <\/span>Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base. <br \/>\r<br>Which AI capability should UC use?<\/div><input type='hidden' name='question_id[]' id='qID_16' value='442363' \/><input type='hidden' id='answerType442363' 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-442363[]' id='answer-id-1711655' class='answer   answerof-442363 ' value='1711655'   \/><label for='answer-id-1711655' id='answer-label-1711655' class=' answer'><span>Einstein Email Replies<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442363[]' id='answer-id-1711656' class='answer   answerof-442363 ' value='1711656'   \/><label for='answer-id-1711656' id='answer-label-1711656' class=' answer'><span>Einstein Service Replies for Email<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442363[]' id='answer-id-1711657' class='answer   answerof-442363 ' value='1711657'   \/><label for='answer-id-1711657' id='answer-label-1711657' class=' answer'><span>Einstein Generative Service Replies for Email<\/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-442364'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>17. <\/span>Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC\u2019s sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. <br \/>\r<br>Which Salesforce feature should the company use to address these concerns?<\/div><input type='hidden' name='question_id[]' id='qID_17' value='442364' \/><input type='hidden' id='answerType442364' 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-442364[]' id='answer-id-1711658' class='answer   answerof-442364 ' value='1711658'   \/><label for='answer-id-1711658' id='answer-label-1711658' class=' answer'><span>Agent Builder and Action: Query Records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442364[]' id='answer-id-1711659' class='answer   answerof-442364 ' value='1711659'   \/><label for='answer-id-1711659' id='answer-label-1711659' class=' answer'><span>Einstein Prompt Builder and Prompt Templates.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442364[]' id='answer-id-1711660' class='answer   answerof-442364 ' value='1711660'   \/><label for='answer-id-1711660' id='answer-label-1711660' class=' answer'><span>Einstein Recommendation Builder.<\/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-442365'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>18. <\/span>A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. <br \/>\r<br>Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. <br \/>\r<br>Which feature in Einstein for Service should the support team use?<\/div><input type='hidden' name='question_id[]' id='qID_18' value='442365' \/><input type='hidden' id='answerType442365' 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-442365[]' id='answer-id-1711661' class='answer   answerof-442365 ' value='1711661'   \/><label for='answer-id-1711661' id='answer-label-1711661' class=' answer'><span>Einstein Service Replies<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442365[]' id='answer-id-1711662' class='answer   answerof-442365 ' value='1711662'   \/><label for='answer-id-1711662' id='answer-label-1711662' class=' answer'><span>Einstein Reply Recommendations<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442365[]' id='answer-id-1711663' class='answer   answerof-442365 ' value='1711663'   \/><label for='answer-id-1711663' id='answer-label-1711663' class=' answer'><span>Einstein Knowledge Recommendations<\/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-442366'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>19. <\/span>What is the correct process to leverage Prompt Builder in a Salesforce org?<\/div><input type='hidden' name='question_id[]' id='qID_19' value='442366' \/><input type='hidden' id='answerType442366' 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-442366[]' id='answer-id-1711664' class='answer   answerof-442366 ' value='1711664'   \/><label for='answer-id-1711664' id='answer-label-1711664' class=' answer'><span>Select the appropriate prompt template type to use, select one of Salesforce's standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442366[]' id='answer-id-1711665' class='answer   answerof-442366 ' value='1711665'   \/><label for='answer-id-1711665' id='answer-label-1711665' class=' answer'><span>Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442366[]' id='answer-id-1711666' class='answer   answerof-442366 ' value='1711666'   \/><label for='answer-id-1711666' id='answer-label-1711666' class=' answer'><span>Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action.<\/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-442367'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>20. <\/span>Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. <br \/>\r<br>Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?<\/div><input type='hidden' name='question_id[]' id='qID_20' value='442367' \/><input type='hidden' id='answerType442367' 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-442367[]' id='answer-id-1711667' class='answer   answerof-442367 ' value='1711667'   \/><label for='answer-id-1711667' id='answer-label-1711667' class=' answer'><span>Agent Action: Summarize Record<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442367[]' id='answer-id-1711668' class='answer   answerof-442367 ' value='1711668'   \/><label for='answer-id-1711668' id='answer-label-1711668' class=' answer'><span>Agent Action: Find Similar Opportunities<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442367[]' id='answer-id-1711669' class='answer   answerof-442367 ' value='1711669'   \/><label for='answer-id-1711669' id='answer-label-1711669' class=' answer'><span>Agent Action: Draft or Revise Sales Email<\/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-442368'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>21. <\/span>Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality. <br \/>\r<br>What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?<\/div><input type='hidden' name='question_id[]' id='qID_21' value='442368' \/><input type='hidden' id='answerType442368' 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-442368[]' id='answer-id-1711670' class='answer   answerof-442368 ' value='1711670'   \/><label for='answer-id-1711670' id='answer-label-1711670' class=' answer'><span>Action Triggers<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442368[]' id='answer-id-1711671' class='answer   answerof-442368 ' value='1711671'   \/><label for='answer-id-1711671' id='answer-label-1711671' class=' answer'><span>Instructions<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442368[]' id='answer-id-1711672' class='answer   answerof-442368 ' value='1711672'   \/><label for='answer-id-1711672' id='answer-label-1711672' class=' answer'><span>Output Types<\/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-442369'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>22. <\/span>Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AlI-enabled field icon next to the summary field. <br \/>\r<br>What is the most likely cause of the issue?<\/div><input type='hidden' name='question_id[]' id='qID_22' value='442369' \/><input type='hidden' id='answerType442369' 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-442369[]' id='answer-id-1711673' class='answer   answerof-442369 ' value='1711673'   \/><label for='answer-id-1711673' id='answer-label-1711673' class=' answer'><span>The user does not have the Prompt Template User permission set assigned.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442369[]' id='answer-id-1711674' class='answer   answerof-442369 ' value='1711674'   \/><label for='answer-id-1711674' id='answer-label-1711674' class=' answer'><span>The prompt template associated with summary field is not activated for that user.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442369[]' id='answer-id-1711675' class='answer   answerof-442369 ' value='1711675'   \/><label for='answer-id-1711675' id='answer-label-1711675' class=' answer'><span>The user does not have the field Generative AI User permission set assigned.<\/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-442370'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>23. <\/span>What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?<\/div><input type='hidden' name='question_id[]' id='qID_23' value='442370' \/><input type='hidden' id='answerType442370' 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-442370[]' id='answer-id-1711676' class='answer   answerof-442370 ' value='1711676'   \/><label for='answer-id-1711676' id='answer-label-1711676' class=' answer'><span>Find similar requested topics and provide the actions that need to be executed.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442370[]' id='answer-id-1711677' class='answer   answerof-442370 ' value='1711677'   \/><label for='answer-id-1711677' id='answer-label-1711677' class=' answer'><span>Identify the best matching topic and actions and correct order of execution.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442370[]' id='answer-id-1711678' class='answer   answerof-442370 ' value='1711678'   \/><label for='answer-id-1711678' id='answer-label-1711678' class=' answer'><span>Determine a user\u2019s topic access and sort actions by priority to be executed.<\/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-442371'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>24. <\/span>Universal Containers (UC) has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses. <br \/>\r<br>Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?<\/div><input type='hidden' name='question_id[]' id='qID_24' value='442371' \/><input type='hidden' id='answerType442371' 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-442371[]' id='answer-id-1711679' class='answer   answerof-442371 ' value='1711679'   \/><label for='answer-id-1711679' id='answer-label-1711679' class=' answer'><span>Service AI Grounding<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442371[]' id='answer-id-1711680' class='answer   answerof-442371 ' value='1711680'   \/><label for='answer-id-1711680' id='answer-label-1711680' class=' answer'><span>Work Summaries<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442371[]' id='answer-id-1711681' class='answer   answerof-442371 ' value='1711681'   \/><label for='answer-id-1711681' id='answer-label-1711681' class=' answer'><span>Service Replies<\/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-442372'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>25. <\/span>Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient\u2019s contact record. <br \/>\r<br>What is the most likely explanation for why the draft email shows these placeholders?<\/div><input type='hidden' name='question_id[]' id='qID_25' value='442372' \/><input type='hidden' id='answerType442372' 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-442372[]' id='answer-id-1711682' class='answer   answerof-442372 ' value='1711682'   \/><label for='answer-id-1711682' id='answer-label-1711682' class=' answer'><span>The user does not have permission to access the fields.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442372[]' id='answer-id-1711683' class='answer   answerof-442372 ' value='1711683'   \/><label for='answer-id-1711683' id='answer-label-1711683' class=' answer'><span>The user\u2019s locale language is not supported by Prompt Builder.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442372[]' id='answer-id-1711684' class='answer   answerof-442372 ' value='1711684'   \/><label for='answer-id-1711684' id='answer-label-1711684' class=' answer'><span>The user does not have Einstein Sales Emails permission assigned.<\/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-442373'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>26. <\/span>Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number. Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details. <br \/>\r<br>Which solution should an Agentforce Specialist implement to meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_26' value='442373' \/><input type='hidden' id='answerType442373' 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-442373[]' id='answer-id-1711685' class='answer   answerof-442373 ' value='1711685'   \/><label for='answer-id-1711685' id='answer-label-1711685' class=' answer'><span>Create an autolaunched flow and invoke the prompt template using the standard &quot;Prompt Template&quot; flow action.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442373[]' id='answer-id-1711686' class='answer   answerof-442373 ' value='1711686'   \/><label for='answer-id-1711686' id='answer-label-1711686' class=' answer'><span>Create a template-triggered prompt flow and invoke the prompt template using the standard &quot;Prompt Template&quot; flow action.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442373[]' id='answer-id-1711687' class='answer   answerof-442373 ' value='1711687'   \/><label for='answer-id-1711687' id='answer-label-1711687' class=' answer'><span>Create a screen flow to collect the sales order number and invoke the prompt template using the standard &quot;Prompt Template&quot; flow action.<\/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-442374'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>27. <\/span>An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client. <br \/>\r<br>How should the Agentforce Specialist integrate the custom LLM into Salesforce?<\/div><input type='hidden' name='question_id[]' id='qID_27' value='442374' \/><input type='hidden' id='answerType442374' 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-442374[]' id='answer-id-1711688' class='answer   answerof-442374 ' value='1711688'   \/><label for='answer-id-1711688' id='answer-label-1711688' class=' answer'><span>Create an application of the custom LLM and embed it in Sales Cloud via iFrame.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442374[]' id='answer-id-1711689' class='answer   answerof-442374 ' value='1711689'   \/><label for='answer-id-1711689' id='answer-label-1711689' class=' answer'><span>Add the fine-tuned LLM in Einstein Studio Model Builder.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442374[]' id='answer-id-1711690' class='answer   answerof-442374 ' value='1711690'   \/><label for='answer-id-1711690' id='answer-label-1711690' class=' answer'><span>Enable model endpoint on OpenAl and make callouts to the model to generate emails.<\/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-442375'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>28. <\/span>Universal Containers (UC) wants to implement an AI-powered customer service agent that can: <br \/>\r<br>Retrieve proprietary policy documents that are stored as PDFs. <br \/>\r<br>Ensure responses are grounded in approved company data, not generic LLM knowledge. <br \/>\r<br>What should UC do first?<\/div><input type='hidden' name='question_id[]' id='qID_28' value='442375' \/><input type='hidden' id='answerType442375' 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-442375[]' id='answer-id-1711691' class='answer   answerof-442375 ' value='1711691'   \/><label for='answer-id-1711691' id='answer-label-1711691' class=' answer'><span>Set up an Agentforce Data Library for AI retrieval of policy documents.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442375[]' id='answer-id-1711692' class='answer   answerof-442375 ' value='1711692'   \/><label for='answer-id-1711692' id='answer-label-1711692' class=' answer'><span>Expand the AI agent's scope to search all Salesforce records.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442375[]' id='answer-id-1711693' class='answer   answerof-442375 ' value='1711693'   \/><label for='answer-id-1711693' id='answer-label-1711693' class=' answer'><span>Add the files to the content, and then select the data library option.<\/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-442376'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>29. <\/span>Universal Containers (UC) wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template. <br \/>\r<br>How should UC accomplish this?<\/div><input type='hidden' name='question_id[]' id='qID_29' value='442376' \/><input type='hidden' id='answerType442376' 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-442376[]' id='answer-id-1711694' class='answer   answerof-442376 ' value='1711694'   \/><label for='answer-id-1711694' id='answer-label-1711694' class=' answer'><span>Create a prompt template passing in a special custom object that connects the records temporarily.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442376[]' id='answer-id-1711695' class='answer   answerof-442376 ' value='1711695'   \/><label for='answer-id-1711695' id='answer-label-1711695' class=' answer'><span>Create a prompt template-triggered flow to access the data from standard and custom objects.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442376[]' id='answer-id-1711696' class='answer   answerof-442376 ' value='1711696'   \/><label for='answer-id-1711696' id='answer-label-1711696' class=' answer'><span>Create a Flex template to add resources with standard and custom objects as inputs.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442376[]' id='answer-id-1711697' class='answer   answerof-442376 ' value='1711697'   \/><label for='answer-id-1711697' id='answer-label-1711697' class=' answer'><span>Use a Record Snapshot to combine data from unrelated objects into a single prompt.<\/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-442377'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>30. <\/span>A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. <br \/>\r<br>Which permission sets should an Agentforce Specialist assign to the data scientist?<\/div><input type='hidden' name='question_id[]' id='qID_30' value='442377' \/><input type='hidden' id='answerType442377' 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-442377[]' id='answer-id-1711698' class='answer   answerof-442377 ' value='1711698'   \/><label for='answer-id-1711698' id='answer-label-1711698' class=' answer'><span>Prompt Template Manager and Prompt Template User<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442377[]' id='answer-id-1711699' class='answer   answerof-442377 ' value='1711699'   \/><label for='answer-id-1711699' id='answer-label-1711699' class=' answer'><span>Data Cloud Admin and Prompt Template Manager<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442377[]' id='answer-id-1711700' class='answer   answerof-442377 ' value='1711700'   \/><label for='answer-id-1711700' id='answer-label-1711700' class=' answer'><span>Prompt Template User and Data Cloud Admin<\/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-442378'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>31. <\/span>Universal Containers\u2019 current AI data masking rules do not align with organizational privacy and security policies and requirements. <br \/>\r<br>What should An Agentforce recommend to resolve the issue?<\/div><input type='hidden' name='question_id[]' id='qID_31' value='442378' \/><input type='hidden' id='answerType442378' 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-442378[]' id='answer-id-1711701' class='answer   answerof-442378 ' value='1711701'   \/><label for='answer-id-1711701' id='answer-label-1711701' class=' answer'><span>Enable data masking for sandbox refreshes.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442378[]' id='answer-id-1711702' class='answer   answerof-442378 ' value='1711702'   \/><label for='answer-id-1711702' id='answer-label-1711702' class=' answer'><span>Configure data masking in the Einstein Trust Layer setup.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442378[]' id='answer-id-1711703' class='answer   answerof-442378 ' value='1711703'   \/><label for='answer-id-1711703' id='answer-label-1711703' class=' answer'><span>Add new data masking rules in LLM setup.<\/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-442379'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>32. <\/span>Which scenario best demonstrates when an Agentforce Data Library is most useful for improving an AI agent\u2019s response accuracy?<\/div><input type='hidden' name='question_id[]' id='qID_32' value='442379' \/><input type='hidden' id='answerType442379' 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-442379[]' id='answer-id-1711704' class='answer   answerof-442379 ' value='1711704'   \/><label for='answer-id-1711704' id='answer-label-1711704' class=' answer'><span>When the AI agent must provide answers based on a curated set of policy documents that are stored, regularly updated, and indexed in the data library.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442379[]' id='answer-id-1711705' class='answer   answerof-442379 ' value='1711705'   \/><label for='answer-id-1711705' id='answer-label-1711705' class=' answer'><span>When the AI agent needs to combine data from disparate sources based on mutually common data, such as Customer Id and Product Id for grounding.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442379[]' id='answer-id-1711706' class='answer   answerof-442379 ' value='1711706'   \/><label for='answer-id-1711706' id='answer-label-1711706' class=' answer'><span>When data is being retrieved from Snowflake using zero-copy for vectorization and retrieval.<\/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-442380'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>33. <\/span>An Agentforce turned on Einstein Generative AI in Setup. Now, the Agentforce Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder <br \/>\r<br>in the Setup menu. <br \/>\r<br>What is causing the problem?<\/div><input type='hidden' name='question_id[]' id='qID_33' value='442380' \/><input type='hidden' id='answerType442380' 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-442380[]' id='answer-id-1711707' class='answer   answerof-442380 ' value='1711707'   \/><label for='answer-id-1711707' id='answer-label-1711707' class=' answer'><span>The Prompt Template User permission set was not assigned correctly.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442380[]' id='answer-id-1711708' class='answer   answerof-442380 ' value='1711708'   \/><label for='answer-id-1711708' id='answer-label-1711708' class=' answer'><span>The Prompt Template Manager permission set was not assigned correctly.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442380[]' id='answer-id-1711709' class='answer   answerof-442380 ' value='1711709'   \/><label for='answer-id-1711709' id='answer-label-1711709' class=' answer'><span>The large language model (LLM) was not configured correctly in Data Cloud.<\/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-442381'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>34. <\/span>A customer service representative is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related to this Itinerary. The representative needs to review the Knowledge articles about canceling and rebooking the customer flights. <br \/>\r<br>Which Agentforce capability helps the representative accomplish this?<\/div><input type='hidden' name='question_id[]' id='qID_34' value='442381' \/><input type='hidden' id='answerType442381' 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-442381[]' id='answer-id-1711710' class='answer   answerof-442381 ' value='1711710'   \/><label for='answer-id-1711710' id='answer-label-1711710' class=' answer'><span>Invoke a flow which makes a call to external data to create a Knowledge article.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442381[]' id='answer-id-1711711' class='answer   answerof-442381 ' value='1711711'   \/><label for='answer-id-1711711' id='answer-label-1711711' class=' answer'><span>Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442381[]' id='answer-id-1711712' class='answer   answerof-442381 ' value='1711712'   \/><label for='answer-id-1711712' id='answer-label-1711712' class=' answer'><span>Generate Knowledge article based off the prompts that the agent enters to create steps to cancel flights.<\/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-442382'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>35. <\/span>An Agentforce Specialist is creating a custom action in Agentforce. <br \/>\r<br>Which option is available for the Agentforce Specialist to choose for the custom Agent action?<\/div><input type='hidden' name='question_id[]' id='qID_35' value='442382' \/><input type='hidden' id='answerType442382' 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-442382[]' id='answer-id-1711713' class='answer   answerof-442382 ' value='1711713'   \/><label for='answer-id-1711713' id='answer-label-1711713' class=' answer'><span>Apex Trigger<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442382[]' id='answer-id-1711714' class='answer   answerof-442382 ' value='1711714'   \/><label for='answer-id-1711714' id='answer-label-1711714' class=' answer'><span>SOQL<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442382[]' id='answer-id-1711715' class='answer   answerof-442382 ' value='1711715'   \/><label for='answer-id-1711715' id='answer-label-1711715' class=' answer'><span>Flows<\/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-442383'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>36. <\/span>Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. <br \/>\r<br>After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?<\/div><input type='hidden' name='question_id[]' id='qID_36' value='442383' \/><input type='hidden' id='answerType442383' 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-442383[]' id='answer-id-1711716' class='answer   answerof-442383 ' value='1711716'   \/><label for='answer-id-1711716' id='answer-label-1711716' class=' answer'><span>Make Less Formal<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442383[]' id='answer-id-1711717' class='answer   answerof-442383 ' value='1711717'   \/><label for='answer-id-1711717' id='answer-label-1711717' class=' answer'><span>Enhance Friendliness<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442383[]' id='answer-id-1711718' class='answer   answerof-442383 ' value='1711718'   \/><label for='answer-id-1711718' id='answer-label-1711718' class=' answer'><span>Optimize for Clarity<\/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-442384'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>37. <\/span>Universal Containers (UC) wants to enable its sales team to get insights into product and competitor <br \/>\r<br>names mentioned during calls. <br \/>\r<br>How should UC meet this requirement?<\/div><input type='hidden' name='question_id[]' id='qID_37' value='442384' \/><input type='hidden' id='answerType442384' 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-442384[]' id='answer-id-1711719' class='answer   answerof-442384 ' value='1711719'   \/><label for='answer-id-1711719' id='answer-label-1711719' class=' answer'><span>Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442384[]' id='answer-id-1711720' class='answer   answerof-442384 ' value='1711720'   \/><label for='answer-id-1711720' id='answer-label-1711720' class=' answer'><span>Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442384[]' id='answer-id-1711721' class='answer   answerof-442384 ' value='1711721'   \/><label for='answer-id-1711721' id='answer-label-1711721' class=' answer'><span>Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.<\/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-442385'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>38. <\/span>Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding. <br \/>\r<br>Which objects should UC select to configure Service AI Grounding?<\/div><input type='hidden' name='question_id[]' id='qID_38' value='442385' \/><input type='hidden' id='answerType442385' 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-442385[]' id='answer-id-1711722' class='answer   answerof-442385 ' value='1711722'   \/><label for='answer-id-1711722' id='answer-label-1711722' class=' answer'><span>Case, Knowledge, and Case Notes<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442385[]' id='answer-id-1711723' class='answer   answerof-442385 ' value='1711723'   \/><label for='answer-id-1711723' id='answer-label-1711723' class=' answer'><span>Case and Knowledge<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442385[]' id='answer-id-1711724' class='answer   answerof-442385 ' value='1711724'   \/><label for='answer-id-1711724' id='answer-label-1711724' class=' answer'><span>Case, Case Emails, and Knowledge<\/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-442386'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>39. <\/span>How does an Agent respond when it can\u2019t understand the request or find any requested information?<\/div><input type='hidden' name='question_id[]' id='qID_39' value='442386' \/><input type='hidden' id='answerType442386' 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-442386[]' id='answer-id-1711725' class='answer   answerof-442386 ' value='1711725'   \/><label for='answer-id-1711725' id='answer-label-1711725' class=' answer'><span>With a preconfigured message, based on the action type.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442386[]' id='answer-id-1711726' class='answer   answerof-442386 ' value='1711726'   \/><label for='answer-id-1711726' id='answer-label-1711726' class=' answer'><span>With a general message asking the user to rephrase the request.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442386[]' id='answer-id-1711727' class='answer   answerof-442386 ' value='1711727'   \/><label for='answer-id-1711727' id='answer-label-1711727' class=' answer'><span>With a generated error message.<\/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-442387'>\n\t\t\t<div class='question-content'><div><span class='watupro_num'>40. <\/span>When creating a custom retriever in Einstein Studio, which step is considered essential?<\/div><input type='hidden' name='question_id[]' id='qID_40' value='442387' \/><input type='hidden' id='answerType442387' 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-442387[]' id='answer-id-1711728' class='answer   answerof-442387 ' value='1711728'   \/><label for='answer-id-1711728' id='answer-label-1711728' class=' answer'><span>Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442387[]' id='answer-id-1711729' class='answer   answerof-442387 ' value='1711729'   \/><label for='answer-id-1711729' id='answer-label-1711729' class=' answer'><span>Define the output configuration by specifying the maximum number of results to return, and map the output fields that will ground the prompt.<\/span><\/label><\/div><div class='watupro-question-choice  ' dir='auto' ><input type='radio' name='answer-442387[]' id='answer-id-1711730' class='answer   answerof-442387 ' value='1711730'   \/><label for='answer-id-1711730' id='answer-label-1711730' class=' answer'><span>Configure the search index, choose vector or hybrid search, choose the fields for filtering, the data space and model, then define the ranking method.<\/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\" 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name=\"question_ids\" value=\"\" \/>\n\t<input type=\"hidden\" name=\"watupro_questions\" value=\"442348:1711610,1711611,1711612 | 442349:1711613,1711614,1711615 | 442350:1711616,1711617,1711618 | 442351:1711619,1711620,1711621 | 442352:1711622,1711623,1711624 | 442353:1711625,1711626,1711627 | 442354:1711628,1711629,1711630 | 442355:1711631,1711632,1711633 | 442356:1711634,1711635,1711636 | 442357:1711637,1711638,1711639 | 442358:1711640,1711641,1711642 | 442359:1711643,1711644,1711645 | 442360:1711646,1711647,1711648 | 442361:1711649,1711650,1711651 | 442362:1711652,1711653,1711654 | 442363:1711655,1711656,1711657 | 442364:1711658,1711659,1711660 | 442365:1711661,1711662,1711663 | 442366:1711664,1711665,1711666 | 442367:1711667,1711668,1711669 | 442368:1711670,1711671,1711672 | 442369:1711673,1711674,1711675 | 442370:1711676,1711677,1711678 | 442371:1711679,1711680,1711681 | 442372:1711682,1711683,1711684 | 442373:1711685,1711686,1711687 | 442374:1711688,1711689,1711690 | 442375:1711691,1711692,1711693 | 442376:1711694,1711695,1711696,1711697 | 442377:1711698,1711699,1711700 | 442378:1711701,1711702,1711703 | 442379:1711704,1711705,1711706 | 442380:1711707,1711708,1711709 | 442381:1711710,1711711,1711712 | 442382:1711713,1711714,1711715 | 442383:1711716,1711717,1711718 | 442384:1711719,1711720,1711721 | 442385:1711722,1711723,1711724 | 442386:1711725,1711726,1711727 | 442387:1711728,1711729,1711730\" \/>\n\t<input type=\"hidden\" name=\"no_ajax\" value=\"0\">\t\t\t<\/form>\n\t<p>&nbsp;<\/p>\n<\/div>\n\n<script type=\"text\/javascript\">\n\/\/jQuery(document).ready(function(){\ndocument.addEventListener(\"DOMContentLoaded\", function(event) { \t\nvar question_ids = 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href=\"https:\/\/www.dumpsbase.com\/freedumps\/salesforce-agentforce-specialist-dumps-v13-02-here-for-preparation-continue-to-check-our-salesforce-agentforce-specialist-free-dumps-part-2-q41-q80-today.html\"><span style=\"background-color: #ccffcc;\"><em>Salesforce Agentforce Specialist free dumps (Part 2, Q41-Q80) of V13.02<\/em><\/span><\/a> here.<\/h3>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Passing the Salesforce Agentforce Specialist certification exam can often be daunting, with a wide array of exam outlines and a limited time for study. But focus on DumpsBase, we have updated the Salesforce Agentforce Specialist dumps to V13.02, ensuring you have the reliable study materials to make preparations. We have collected 300 questions and answers [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[287],"tags":[18572,20463],"class_list":["post-115486","post","type-post","status-publish","format-standard","hentry","category-salesforce","tag-salesforce-agentforce-specialist-dumps","tag-salesforce-agentforce-specialist-questions-and-answers"],"_links":{"self":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/115486","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=115486"}],"version-history":[{"count":3,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/115486\/revisions"}],"predecessor-version":[{"id":115642,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/posts\/115486\/revisions\/115642"}],"wp:attachment":[{"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/media?parent=115486"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/categories?post=115486"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dumpsbase.com\/freedumps\/wp-json\/wp\/v2\/tags?post=115486"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}