Salesforce SALESFORCE-AI-SPECIALIST Online Practice Questions and Exam Preparation

Salesforce SALESFORCE-AI-SPECIALIST Online Questions & Answers

• Question 71:

  Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?

  A. Agentforce does not have the permission to delete the user's records.
  B. Agentforce Delete Record Action permission is not associated to the user.
  C. Agentforce does not have a standard Delete Record action.
  C. Agentforce does not have a standard Delete Record action.

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  Explanation

  Context of the QuestionUniversal Containers (UC) uses Agentforce, a specialized AI-driven assistant for Salesforce. A user reports that an Agent is unable to delete recent activities. Why Agentforce Cannot Delete Records Why Other Options Are Incorrect ConclusionThe core reason for the issue is that Agentforce does not support a standard Delete Record action (Choice C). Salesforce AI Specialist References and Documents Salesforce Official Documentation ?Agentforce(Note: Agentforce may be a pilot or specialized feature; check pilot release notes or official docs for standard actions.) Salesforce AI Specialist Study GuideCovers the limitations of certain AI-enabled features regarding record operations.

• Question 72:

  What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

  A. View the user click path that led to each copilot action.
  B. View session data including user Input and copilot responses for sessions over the past 7 days.
  C. Generate details reports on all Copilot conversations over any time period.
  B. View session data including user Input and copilot responses for sessions over the past 7 days.

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  Explanation

  When the "Enrich event logs with conversation data" setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This

  data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs. This setting enriches the event logs with detailed conversational data for better insights into the

  interaction history, helping AI specialists track AI behavior and user engagement.

  Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.

  Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days. Salesforce AI Specialist

  References:You can refer to this documentation for further insights: https://

  help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm

• Question 73:

  Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM).

  What is an important consideration for this requirement?

  A. "CRM data to JSON" checkbox must be selected when creating a prompt template.
  B. Apex code can be used to return a JSON formatted merge field.
  C. JSON format should be enabled in Prompt Builder Settings.
  B. Apex code can be used to return a JSON formatted merge field.

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  Explanation

  Context of the Question

  Why Apex Code for JSON Formatting?

  ConclusionThe practical solution to pass CRM data in JSON format to an LLM is to use Apex code (or a specialized Flow approach) to produce a JSON string, which the prompt can then merge and pass along. Hence, Option B is correct.

  Salesforce AI Specialist References and Documents

  Salesforce Documentation: Working with JSON in ApexDescribes how to serialize and deserialize data using Apex for integration or AI prompts. Salesforce AI Specialist Study GuideEmphasizes the need for custom logic (often in Apex) when

  complex data transformations (like JSON formatting) are required.

• Question 74:

  Universal Containers wants to generate personalized email responses based on customer data stored in Salesforce. Which tool should they use?

  A. Prompt Builder
  B. Einstein Email Replies
  C. Model Builder
  D. Service AI Grounding
  B. Einstein Email Replies

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  Explanation

  Einstein Email Replies leverages stored customer data to generate personalized email responses.

• Question 75:

  Universal Analytics wants to leverage AI to predict the likelihood of customers upgrading their current plans based on historical data. Which AI capability in Salesforce is most suitable for this use case?

  A. Predictive Intelligence
  B. Generative AI
  C. Prompt Builder
  D. Service AI Grounding
  A. Predictive Intelligence

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  Explanation

  Predictive Intelligence in Salesforce uses historical data to forecast future outcomes, making it the best choice for predicting customer upgrade likelihood.

• Question 76:

  A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features.

  Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation?

  A. Call Summary
  B. Call Explorer
  C. Sales Summary
  A. Call Summary

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  Explanation

  For a sales rep who may miss key details during long sales calls, the AI Specialist should recommend the Call Summary feature. Call Summary uses Einstein Generative AI to automatically generate a concise summary of important points

  discussed during the call, helping the rep quickly review the key information they might have missed. Call Explorer is designed for manually searching through call data but doesn't summarize.

  Sales Summary is focused more on summarizing overall sales activity, not call- specific content.

  For more details, refer to Salesforce's Call Summary documentation on how AI- generated summaries can improve sales rep productivity.

• Question 77:

  Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive intelligence.

  Which feature provides insights about competitor mentions and coaching opportunities?

  A. Call Summaries
  B. Einstein Sales Insights
  C. Call Explorer
  C. Call Explorer

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  Explanation

  For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information, Call Explorer is the most suitable feature. Call Explorer, a part of Einstein Conversation Insights, enables

  sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, including competitor mentions and moments for coaching. These insights are

  vital for improving sales performance by providing a clear understanding of the interactions during calls. Call Summaries offer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.

  Einstein Sales Insights focuses more on pipeline and forecasting insights rather than call-based analysis.

  References:

  Salesforce Einstein Conversation Insights Documentation:

  https://help.salesforce.com/s/articleView?id=einstein_conversation_insights.htm

• Question 78:

  An AI Specialist configured Data Masking within the Einstein Trust Layer.

  How should the AI Specialist begin validating that the correct fields are being masked?

  A. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
  B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
  C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
  C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

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  Explanation

  To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the AI

  Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected. Option B is correct because it allows for the retrieval of audit data

  that can be used to validate data masking.

  Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.

  References:

  Salesforce Einstein Trust Layer Documentation:

  https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm

• Question 79:

  An AI Specialist is creating a custom action in Einstein Copilot.

  Which option is available for the AI Specialist to choose for the custom copilot action?

  A. Apex trigger
  B. SOQL
  C. Flows
  C. Flows

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  Explanation

  When creating a custom action in Einstein Copilot, one of the available options is to use Flows. Flows are a powerful automation tool in Salesforce, allowing the AI Specialist to define custom logic and actions within the Copilot system. This

  makes it easy to extend Copilot's functionality without needing custom code. While Apex triggers and SOQL are important Salesforce tools, Flows are the recommended method for creating custom actions within Einstein Copilot because they

  are declarative and highly adaptable.

  For further guidance, refer to Salesforce Flow documentation and Einstein Copilot customization resources.

• Question 80:

  Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.

  Which feature should the AI Specialist set up to enable UC's sales team?

  A. Call Summaries
  B. Call Explorer
  C. Call Insights
  C. Call Insights

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  Explanation

  To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key

  phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.

  Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.

  Call Explorer is a tool for navigating through call data but does not focus on automatic insights.

  For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.