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

Salesforce SALESFORCE-AI-SPECIALIST Online Questions & Answers

• Question 11:

  When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

  Which information does the Resolution text provide?

  A. It shows the full text that is sent to the Trust Layer.
  B. It shows the response from the LLM based on the sample record.
  C. It shows which sensitive data is masked before it is sent to the LLM.
  B. It shows the response from the LLM based on the sample record.

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  Explanation

  When previewing a prompt template in Salesforce, the Resolution text provides the response from the LLM (Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the

  prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.

  Option B is correct because Resolution displays the actual response generated by the LLM.

  Option A refers to sending the text to the Trust Layer, but that's not what Resolution represents.

  Option C relates to data masking, which is shown elsewhere, not under Resolution.

  References:

  Salesforce Prompt Builder Overview:

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

• Question 12:

  Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot.

  What should the AI Specialist do to achieve this?

  A. Customize the standard Record Summary template for the Case object,
  B. Summarize the Case with a standard copilot action.
  C. Create a custom Record Summary prompt template for the Case object.
  C. Create a custom Record Summary prompt template for the Case object.

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  Explanation

  To customize the case summary response from Einstein Copilot, the AI Specialist should create a custom Record Summary prompt template for the Case object. This allows Universal Containers to tailor the way case data is summarized,

  ensuring the output aligns with specific business requirements or user preferences. Option A (customizing the standard Record Summary template) does not provide the flexibility required for deep customization.

  Option B (standard Copilot action) won't allow customization; it will only use default settings.

  Refer to Salesforce Prompt Builder documentation for guidance on creating custom templates for record summaries.

• Question 13:

  An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.

  What should the AI Specialist do to identify the root cause of the problem?

  A. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
  B. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
  C. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
  A. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.

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  Explanation

  When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging,

  the AI Specialist can see detailed logs showing both the inputs and outputs of the flow, which helps identify where the action might be failing or not delivering the expected results. Option B, confirming selected actions and observing the Input

  and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging. Option C, verifying the user utterance and reviewing session event logs, could provide helpful

  context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.

  Salesforce AI Specialist

  References:To explore more about dynamic debugging in Copilot Builder, see:

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

• Question 14:

  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.

  Which solution should an AI Specialist implement to meet this requirement?

  A. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.
  B. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.
  C. Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.
  A. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.

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  Explanation

  To implement a solution where users enter a sales order number and the system generates a summary, the AI Specialist should create a screen flow to collect the sales order number and invoke the prompt template. The standard "Prompt

  Template" flow action can then be used to trigger the custom prompt, providing a summary of the sales order header and details.

  Option B, creating a template-triggered prompt flow, is not necessary for this scenario because the requirement is to directly collect input through a screen flow. Option C, using an autolaunched flow, would be inappropriate here because the

  solution requires user interaction (entering a sales order number), which is best suited to a screen flow.

  Salesforce AI Specialist

  References:For further guidance on creating prompt templates with flows:

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

• Question 15:

  Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.

  Which audit data is available using the Einstein Trust Layer?

  A. Response accuracy and offensiveness score
  B. Hallucination score and bias score
  C. Masked data and toxicity score
  C. Masked data and toxicity score

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  Explanation

  Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity

  assessment. The audit data available through the Einstein Trust Layer includes information about masked data--which ensures sensitive information is not exposed--and the toxicity score, which evaluates the generated content for

  inappropriate or harmful language.

  References:

  Salesforce AI Specialist Documentation - Einstein Trust Layer: Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.

• Question 16:

  Universal Containers has a new AI project.

  What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?

  A. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
  B. Prompt Builder must be used to assign the fields from the related list as a JSON format.
  C. The fields for the related list are based on the default page layout of the Account for the current user.
  A. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.

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  Explanation

  Context of the QuestionUniversal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.

  Prompt Builder Behavior

  Why Option A is Correct

  Why Not Option B (JSON Formatting)

  Why Not Option C (Default Page Layout)

  ConclusionSince the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields, Option A is the correct and verified answer.

  Salesforce AI Specialist References and Documents

  Salesforce Official Documentation: Prompt Builder BasicsExplains how to reference objects and related lists when building AI prompts. Salesforce Trailhead: Get Started with Prompt BuilderProvides hands-on exercises demonstrating how to

  pick fields from related objects or lists. Salesforce AI Specialist Study GuideOutlines best practices for referencing related records and fields in generative AI prompts.

• Question 17:

  Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.

  What should UC consider when using standard Service AI Grounding?

  A. Service AI Grounding only works with Case and Knowledge objects.
  B. Service AI Grounding only supports String and Text Area type fields.
  C. Service AI Grounding visibility works m system mode.
  B. Service AI Grounding only supports String and Text Area type fields.

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  Explanation

  Service AI Grounding retrieves data from Salesforce objects to ground AI- generated responses. Key considerations:

  Field Types: Standard Service AI Grounding supports String and Text Area fields. Custom rich text fields (e.g., RichTextArea) are not supported, making Option B correct.

  Objects: While Service AI Grounding primarily uses Case and Knowledge objects (Option A), the limitation here is the field type, not the object. Visibility: Service AI Grounding respects user permissions and sharing settings unless overridden

  (Option C is incorrect).

  References:

  Salesforce Help: Service AI Grounding Requirements Explicitly states support for "Text Area and String fields" only.

• Question 18:

  Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.

  Which use case works for this scenario?

  A. Predict customer sentiment toward a promotion message.
  B. Predict customer lifetime value of an account.
  C. Predict most popular products from new product catalog.
  B. Predict customer lifetime value of an account.

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  Explanation

  For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams

  focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.

  Option B is the correct choice as predicting customer lifetime value is a well- established use case for AI in sales.

  Option A (customer sentiment) is typically handled through NLP models, while Option C (product popularity) is more of a marketing analysis use case.

  References:

  Salesforce Einstein Studio Use Case Overview:

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

• Question 19:

  An AI Specialist at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.

  1.Create a new Field Generation prompt template.

  2.Choose Case as the object type.

  3.Select the custom field AI_Analysis_c as the target field.

  After creating the prompt template, the AI Specialist saves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the AI Specialist was editing the field, it was behaving as a normal field.

  Which critical step did the AI Specialist miss?

  A. They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.
  B. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.
  C. They forgot to edit the Lightning page layout and associate the field to a prompt template
  C. They forgot to edit the Lightning page layout and associate the field to a prompt template

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  Explanation

  For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated,

  failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentation emphasizes that page layout configuration is mandatory to enable AI-driven field interactions.

  Reactivating the layout (A) is unnecessary unless the layout itself was modified after activation.

  Case objects are supported for Field Generation (B is incorrect).

  Salesforce Help Article: Configure Field Generation Prompt Templates ("Associating Fields with Page Layouts" section).

  Einstein GPT Implementation Guide: "Enabling AI-Generated Fields in Lightning Pages."

• Question 20:

  Which Salesforce feature should be used to train an AI model with data from multiple Salesforce objects for complex predictions?

  A. Model Builder
  B. Prompt Builder
  C. Einstein Copilot
  D. Einstein Trust Layer
  A. Model Builder

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  Explanation

  Model Builder allows you to train AI models using data from multiple Salesforce objects for complex predictions.