Question 1

Universal Containers (UC) wants to implement an AI-powered customer service agent that can:

Retrieve proprietary policy documents that are stored as PDFs.

Ensure responses are grounded in approved company data, not generic LLM knowledge.What should

UC do first?

Options :

A : Set up an Agentforce Data Library for AI retrieval of policy documents.

B : Expand the AI agent-s scope to search all Salesforce records.

C : Add the files to the content, and then select the data library option.

Answer: A

Question 2

What does it mean when a prompt template version is described as immutable?

Options :

A : Only the latest version of a template can be activated.

B : Every modification on a template will be saved as a new version automatically.

C : Prompt template version is activated; no further changes can be saved to that version.

Answer: C

Question 3

TheAgentforce Specialistof Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer. Which steps should theAgentforce Specialisttake upon modifying the masked fields?

Options :

A : Turn off the Einstein Trust Layer and turn it on again.

B :

Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

C :

Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.

Answer: B

Question 4

How should an organization use the Einstein Trust layer to audit, track, and view masked data?

Options :

A : Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.

B : In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.

C : Access the audit trail in Setup and export all user-generated prompts.

Answer: A

Question 5

How does the AI Retriever function within Data Cloud?

Options :

A :

It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.

B : It monitors and aggregates data quality metrics across various data pipelines to ensure only highintegrity data is used for strategic decision-making.

C :

It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

Answer: A

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