Question 1

A Service Agent at Universal Containers (UC) is designed to help customers resolve issues by searching

against knowledge articles.

Knowledge articles have PDF attachments that add critical details. UC reports that the agent provides

excellent summaries of the

knowledge articles, but seems completely unaware of the PDF attachments.

How should an Agentforce Specialist configure the Data Cloud search index to include the content of these attached files?

Options :

A :

Increase article chunk size and token limits for Knowledge indexing so larger contexts capture attachment references.

B :

Enable 'Include Related Attachments’ for Knowledge-- kav and map the ContentDocumentLink unstructured data model object (UDMO).

C :

Use Data Cloud's ‘Include Attachments’ option and select the ContentDocumentVersion unstructured data model object (UDMO).

Answer: C

Question 2

How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?

Options :

A : Data Cloud is not required; the articles can be accessed directly from the CRM by the agent.

B : Data Cloud stores and manages the Indexed Knowledge articles.

C : Data Cloud provides the real-time data streams that update the Knowledge articles.

Answer: B

Question 3

At Universal Containers, a sales manager is tackling a tough challenge as several new junior sales reps

struggle with objection

handling and price negotiations for complex deals. The manager lacks the time to personally guide each sales

rep through their specific customer scenarios before their critical meetings. The junior sales reps have asked

for a tool that would allow them to

practice their pitches by simulating tough conversations and receive personalized feedback that is specific to

the commerce opportunity they are working on.

Which Salesforce solution should an Agentforce Specialist recommend?

Options :

A : Employee Coach

B : SDR Agent

C : Sales Coach

Answer: C

Question 4

In a Knowledge-based data library configuration, what is the primary difference between the identifying fields

and the content fields?

Options :

A :

Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.

B :

Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.

C :

Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.

Answer: A

Question 5

How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?

Options :

A : Masked data will be de-masked during response journey.

B : Masked data will be de-masked during request journey.

C : Responses that do not meet the relevance threshold will be automatically rejected.

Answer: A

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