Question 1

A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best suits this need?

Options :

A : Einstein Sales Assistant

B : Prompt Builder

C : Einstein Lead follow-up

Answer: B

Question 2

Choose 1 option.An Agentforce Specialist is building a Flex prompt template.Which best practice should the Agentforce Specialist follow when creating the Flex prompt template?

Options :

A : Provide the large language model (LLM) with contextual information and give it a role such as a sales or support rep.

B : Ground the large language model (LLM) with account data and create a custom field account summary to store the LLM-generated response.

C : Ground the large language model (LLM) with a retriever and create a custom field to store the LLMgenerated Response.

Answer: A

Question 3

Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?

Options :

A : Hybrid search indexes process queries faster than vector search because they eliminate the need forsemanticembedding.

B : Vector embedding in hybrid search are prefiltered by keyword matches, reducing computationaloverhead andimproving response accuracy.

C : Hybrid search indexes support both literal keyword matches and semantic recall, useful when queriesmix specificterms and intent.

Answer: C

Question 4

After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?

Options :

A : Presence Penally

B : Variability

C : Temperature

Answer: C

Question 5

Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.Which generative AI feature should help UC address this issue?

Options :

A : Case Summaries

B : Service Replies

C : Case Escalation

Answer: B

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