Salesforce AI-201

Making your learning time-saving and efficient

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Salesforce Certified Agentforce Specialist Sample Questions:

1. A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers. Which solution approach should the admin leverage?

A) Create a t field Generation prompt template type
B) Use sales Email standard templates
C) Create a Sales Email prompt template type.

2. Universal Containers needs to bring individual customer warranties from an external system into Data Cloud. They want Agentforce to return warranty-related responses only for accounts whose warranty status is active. Which search approach should the Agentforce Specialist configure to ensure warranty-related information is retrieved correctly?

A) Use Hybrid Search and apply pre-filtering in a new custom retriever for matching accounts and where the WarrantyStatus = Active field,
B) Depend on Agentforce instructions to enforce warranty constraints and include only WarrantyStatus = Active results.
C) Store the account's warranty status in an Agentforce custom variable to dynamically filter warranties during retrieval.

3. 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?

A) Einstein Lead follow-up
B) Einstein Sales Assistant
C) Prompt Builder

4. What is the main purpose of Prompt Builder?

A) A tool within Salesforce offering real-time Al-powered suggestions and guidance to users, Improving productivity and decision-making.
B) A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently.
C) A tool that enables companies to create reusable prompts for large language models (LLMs), bringing generative AI responses to their flow of work

5. Universal Containers (UC) recently rolled out Einstein Generative AI capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?

A) The data being used for grounding is incorrect or incomplete.
B) The prompt template version is incompatible with the chosen LLM.
C) The Einstein Trust Layer is incorrectly configured.

Solutions: