Question 1

What is a valid use case for Data Cloud retrievers?

Options :

A : Returning relevant data from the vector database to augment a prompt.

B : Grounding data from external websites to augment a prompt with RAG.

C : Modifying and updating data within the source systems connected to Data Cloud.

Answer: A

Question 2

After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?

Options :

A : A data pipeline, an indexing engine, and a query processor

B : A data connector, an analytics dashboard, and a workflow rule

C : A data stream, a search index, and a retriever

Answer: C

Question 3

Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?

Options :

A : Prompt Defense

B : Data Masking

C : Dynamic Grounding

Answer: C

Question 4

Universal Containers (UC) wants to enable its sales team to use Al to suggest recommended products from its

catalog.

Which type of prompt template should UC use?

Options :

A : Record summary prompt template

B : Email generation prompt template

C : Flex prompt template

Answer: C

Question 5

An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a

summary of all related opportunities for a given Account.

Which grounding technique should the Al Specialist use to include data from the related list of opportunities

in the prompt template?

Options :

A : Use the merge fields to reference a custom related list of opportunities.

B : Use merge fields to reference the default related list of opportunities.

C : Use formula fields to reference the Einstein related list of opportunities.

Answer: B

Free Agentforce-Specialist Mock Exam – Practice Online Confidently

Buying Options: