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Salesforce Certified AI Specialist Exam Sample Questions (Q30-Q35):

NEW QUESTION # 30
An AI Specialist has grounded a prompt template with a related list. During user acceptance testing (UAT).
users are not getting the correct responses.
What is causing this issue?

A. The related list is Read Only.
B. The related list prompt template option is not enabled.
C. The related list is not on the parent object's page layout.

Answer: B

Explanation:
When grounding a prompt template with a related list, the AI must be explicitly configured to include the related list's data. If the "related list prompt template option" is not enabled, the AI ignores the related list, leading to incomplete or incorrect responses.
* Option A: Page layout visibility affects user interface display but does not restrict data access for AI grounding.
* Option B: Read-only settings prevent edits but not data retrieval.
* Option C: Enabling the related list in the prompt template configuration is mandatory for the AI to use its data.
References:
* Salesforce Help: Prompt Template Grounding Settings
* States that "related lists must be enabled in the prompt template's grounding settings to include their data in AI responses."

NEW QUESTION # 31
What is the primary function of the planner service in the Einstein Copilot system?

A. Generating record queries based on conversation history
B. Offering real-time language translation during conversations
C. Identifying copilot actions to respond to user utterances

Answer: C

Explanation:
The primary function of theplanner servicein theEinstein Copilotsystem is toidentify copilot actionsthat should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that theEinstein Copilotshould perform based on user input.

NEW QUESTION # 32
The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page.
Which AI capability should the team use?

A. Model Builder
B. Einstein Copilot
C. Prompt Builder

Answer: C

Explanation:
The sales team at a hotel resort wants to generate a guest summary about guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They require the summary to be available only on the contact record page.
Solution:
Use Prompt Builder to create a prompt template that generates the desired summary and displays it on the contact record page.
Prompt Builder:
Purpose: Allows the creation of custom prompt templates that leverage AI to generate content based on Salesforce data.
Functionality:
Field Generation Templates: Can be used to populate fields on records with AI-generated summaries.
Customization: Enables the AI Specialist to design prompts that utilize data from the guest profiles to produce personalized summaries and recommendations.
Relevance to the Use Case:
The sales team wants the summary to be available on the contact record page, which aligns with the capabilities of Prompt Builder to generate and display content on specific record pages.
Implementation Steps:
Create a Field Generation Prompt Template:
Use Prompt Builder to create a new prompt template of type Field Generation.
Design the prompt to instruct the AI to generate a summary based on the guest's interests and activity preferences.
Include Relevant Data:
Use merge fields to include data from the guest profile in the prompt.
Ensure that the prompt accesses the necessary fields to generate accurate recommendations.
Configure the Contact Page Layout:
Add the field that will display the AI-generated summary to the contact record page layout.
Ensure that the field is only visible where appropriate, adhering to the requirement of availability only on the contact record page.
Why Not Einstein Copilot or Model Builder:
Option A (Einstein Copilot):
Purpose: Einstein Copilot is a conversational AI assistant designed to interact with users through natural language.
Mismatch with Requirements:
The team wants a static summary displayed on the contact record page, not an interactive conversational experience.
Option C (Model Builder):
Purpose: Model Builder is used to create custom AI models for predictions and classifications.
Inapplicability:
Building a custom model is unnecessary for generating text summaries based on existing data.
Model Builder does not directly provide functionality to generate and display summaries on record pages.
Reference:
Salesforce AI Specialist Documentation - Prompt Builder Overview:
Provides an introduction to Prompt Builder and its capabilities.
Salesforce Help - Creating Field Generation Prompt Templates:
Guides on creating prompt templates that generate content for fields on records.
Salesforce Trailhead - Customize AI Content with Prompt Builder:
Offers hands-on experience in building and customizing prompt templates.
Conclusion:
By utilizing Prompt Builder, the sales team can create a customized prompt template that generates personalized guest summaries and recommendations based on activity preferences. This solution meets the requirement of displaying the summary only on the contact record page, enhancing the team's ability to engage with guests effectively.

NEW QUESTION # 33
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should an AI Specialist recommend to resolve the issue?

A. Add new data masking rules in LLM setup.
B. Enable data masking for sandbox refreshes.
C. Configure data masking in the Einstein Trust Layer setup.

Answer: C

Explanation:
When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the AI Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through the Einstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
Salesforce AI Specialist Reference:
For more information, refer to: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_data_masking.htm

NEW QUESTION # 34
A service agent 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 with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Einstein Copilot capability helps the agent accomplish this?

A. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
B. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
C. Invoke a flow which makes a call to external data to create a Knowledge article.

Answer: B

Explanation:
In this scenario, theEinstein Copilotcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Einstein Copilot can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.
This feature leverages the agent's existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer's needs.
The other options are incorrect:
* Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.
* Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.
References:
* Salesforce Documentation onEinstein Copilot
* Trailhead Module onEinstein for Service

NEW QUESTION # 35
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