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

Salesforce SALESFORCE-AI-SPECIALIST Online Questions & Answers

• Question 101:

  Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge.

  Which step should UC take to meet this requirement?

  A. Turn on Service AI Grounding, Grounding with Case, and Service Replies.
  B. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
  C. Turn on Service AI Grounding and Grounding with Knowledge.
  C. Turn on Service AI Grounding and Grounding with Knowledge.

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  Explanation

  To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI-generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge. Service

  Replies generates responses automatically. Service AI Grounding ensures that the AI is using relevant case data. Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify

  whether a response is coming from the LLM or Salesforce Knowledge.

  Option C does not include Service Replies, which is necessary for generating AI responses.

  Option A lacks the Grounding with Knowledge, which is essential for identifying response sources.

  For more details, refer to Salesforce Service AI documentation on grounding and service replies.

• Question 102:

  How does an Agent respond when it can't understand the request or find any requested information?

  A. With a generated error message
  B. With a general message asking the user to rephrase the request
  C. With a preconfigured message, based on the action type
  C. With a preconfigured message, based on the action type

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  Explanation

  Context of the Question Fallback / Error Handling in Agentforce ConclusionBecause the assistant uses a preconfigured fallback that is set up in the environment (for example, in the agent's or domain's settings), the correct choice is Option

  C.

  Salesforce AI Specialist References and Documents Salesforce Pilot / Agentforce Setup DocumentationExplains how to configure a fallback or default message when the AI cannot fulfill a user's request. Salesforce AI Specialist Study GuideDetails best practices for AI-driven assistants and how fallback scenarios are handled with preconfigured messages.

• Question 103:

  Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.

  After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

  A. Make Less Formal
  B. Enhance Friendliness
  C. Optimize for Clarity
  A. Make Less Formal

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  Explanation

  When Universal Containers uses the Draft with Einstein feature in Sales Cloud to create a personalized email, the predefined adjustment to Make Less Formal is the correct option to revise the draft with a more casual tone. This option

  adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.

  Enhance Friendliness would make the tone more positive, but not necessarily more casual.

  Optimize for Clarity focuses on making the draft clearer but doesn't adjust the tone. For more details, see Salesforce documentation on Einstein-generated email drafts and tone adjustments.

• Question 104:

  Universal Containers aims to streamline the sales team's daily tasks by using AI.

  When considering these new workflows, which improvement requires the use of Prompt Builder?

  A. Populate an Al-generated time-to close estimation to opportunities
  B. Populate an AI generated summary field for sales contracts.
  C. Populate an Al generated lead score for new leads.
  B. Populate an AI generated summary field for sales contracts.

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  Explanation

  Prompt Builder is explicitly required to create AI-generated summary fields via prompt templates. These fields use natural language instructions to extract or synthesize information (e.g., summarizing contract terms). Time-to-close estimations

  (A) and lead scores (C) are typically handled by predictive AI (e.g., Einstein Opportunity Scoring) or analytics tools, which do not require Prompt Builder.

  Salesforce Help Article: Create AI-Generated Fields with Prompt Builder ("Summary Field Generation" example).

  Einstein GPT for Sales Guide: "Automating Contract Summaries."

• Question 105:

  Which Salesforce feature allows sales agents to view AI-generated summaries of customer interactions directly on the contact record page?

  A. Einstein Conversation Insights
  B. Case Summaries
  C. Prompt Builder
  D. Einstein Copilot
  B. Case Summaries

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  Explanation

  Case Summaries provide AI-generated overviews of customer interactions, helping agents quickly understand past communications.

• Question 106:

  An AI Specialist needs to enable the use of Sales Email prompt templates for the sales team. The AI Specialist has already created the templates in Prompt Builder.

  According to best practices, which steps should the AI Specialist take to ensure the sales team can use these templates?

  A. Assign the Prompt Template User permission set and enable Sales Emails in Setup.
  B. Assign the Prompt Template Manager permission set and enable Sales Emails in setup.
  C. Assign the Data Cloud Admin permission set and enable Sales Emails in Setup.
  A. Assign the Prompt Template User permission set and enable Sales Emails in Setup.

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  Explanation

  To enable Sales Email prompt templates:

  Permission Set: Assign the Prompt Template User permission set to the sales team to grant access to use pre-built templates.

  Feature Activation: Enable Sales Emails in Salesforce Setup to activate the integration between prompt templates and email workflows. Option B (Manager permission set): Required for creating/modifying templates, not for usage.

  Option C (Data Cloud Admin): Unrelated to prompt template access.

  References:

  Salesforce Help: Prompt Template Permissions

  Specifies that "Prompt Template User" is required to leverage templates in workflows.

  Sales Email Setup outlines enabling the feature in Setup.

• Question 107:

  Universal Containers wants to use AI to recommend products based on browsing history. Which initial step should they take?

  A. Fine-tune the LLM with historical sales data
  B. Collect and analyze browsing data
  C. Use Einstein Copilot to generate recommendations
  D. Build a custom model with Model Builder
  B. Collect and analyze browsing data

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  Explanation

  Analyzing browsing data is essential to train AI models for personalized product recommendations effectively.

• Question 108:

  A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.

  Which solution approach should the admin leverage?

  A. Use sales Email standard templates
  B. Create a t field Generation prompt template type
  C. Create a Sales Email prompt template type.
  C. Create a Sales Email prompt template type.

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  Explanation

  To generate personalized emails using LLMs while reusing templates:

  Sales Email Prompt Template Type (Option C): Designed specifically for generating dynamic email content by combining LLMs with structured templates. It allows admins to define placeholders (e.g., customer name, product details) and

  reuse templates across scenarios.

  Option A: Standard email templates lack LLM integration and dynamic personalization.

  Option B: "t field Generation" is not a valid Salesforce prompt template type.

  References:

  Salesforce Help: Sales Email Prompt Templates

  Describes using Sales Email prompt templates to "generate targeted emails using dynamic data and LLMs."

• Question 109:

  An AI Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.

  Which approach should the AI Specialist recommend to achieve this use case?

  A. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.
  B. Fine-Tune the standard foundational model due to the complexity of the data.
  C. Deploy UC's own custom foundational model on this data first.
  A. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.

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  Explanation

  For no-code implementations, Prompt Builder allows AI Specialists to create prompt templates that dynamically ground responses in Salesforce CRM data (e.g., past purchases) and Data Cloud insights (e.g., product interests) without custom

  coding. The standard foundation model (e.g., Einstein GPT) can synthesize this data into summaries, leveraging structured and unstructured sources (e.g., email/phone transcripts). Fine-tuning (B) or custom models (C) require code and are

  unnecessary here, as the use case does not involve unique data patterns requiring model retraining.

  Salesforce Help Article: Prompt Builder for No-Code AI ("Grounding in CRM and Data Cloud" section).

  Einstein GPT Implementation Guide: "Generating Summaries with Pre-Built Models."

• Question 110:

  What is a Salesforce AI Specialist able to configure in Data Masking within the Einstein Trust Layer?

  A. The profiles exempt from masking
  B. The encryption keys for masking
  C. The privacy data entities to be masked
  C. The privacy data entities to be masked

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  Explanation

  In the Einstein Trust Layer, the Salesforce AI Specialist can configure privacy data entities to be masked (Option C). This ensures sensitive or personally identifiable information (PII) is obfuscated when processed by AI models.

  Data Masking Configuration:

  Why Other Options Are Incorrect:

  References:

  Einstein Trust Layer Documentation: States that Data Masking allows admins to "define which fields should be masked to protect sensitive data." Trailhead Module: "Einstein Trust Layer Basics" explains configuring privacy entities for

  masking.

  Salesforce Help Article: "Secure AI with Einstein Trust Layer" details masking configurations for privacy compliance.