Salesforce Certified Agentforce Specialist : AI-201 Exam

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Salesforce AI-201 Exam Syllabus Topics:

Salesforce Certified Agentforce Specialist Sample Questions:

1. Universal Containers (UC) uses a file upload-based data library and custom prompt to support AI- driven training content. However, users report that the AI frequently returns outdated documents.
Which corrective action should UC implement to improve content relevancy?

A) Switch the data library source from file uploads to a Knowledge-based data library, because Salesforce Knowledge bases automatically manage document recency, ensuring current documents are returned.
B) Continue using the default retriever without filters, because periodic re-uploads will eventually phase out outdated documents without further configuration or the need for custom retrievers.
C) Configure a custom retriever that includes a filter condition limiting retrieval to documents updated within a defined recent period, ensuring that only current content is used for AI responses.

2. Which object stores the conversation transcript between the customer and the agent?

A) Messaging End User
B) Messaging Session
C) Case

3. Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process. How should An Agentforce apply the power of conversational AI to this use case?

A) Configure the Integration Flow Standard Action in Agent.
B) Create a custom copilot action which calls a flow.
C) Create a Flex prompt template in Prompt Builder.

4. An Agentforce wants to use the related lists from an account in a custom prompt template. What should the Agentforce Specialist consider when configuring the prompt template?

A) The text encoding (for example, UTF-8, ASCII) option
B) The choice between XML and JSON rendering formats for the list
C) The maximum number of related list merge fields

5. Which use case is best supported by Salesforce Agent's capabilities?

A) Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities
B) Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data.
C) Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers.

Solutions: