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Agentforce-Specialist Practice Questions

Salesforce Certified Agentforce Specialist (AI-201)

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Total Questions : 298

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Question # 1

After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team.

Which key consideration should the Agentforce Specialist keep in mind for this deployment?

Options:

A.  

Assign the Agentforce for Service permission to the Service Cloud users.

B.  

Assign the standard service actions to Agentforce Service Agent.

C.  

Review and test standard and custom Agent topics and actions for Service Center use cases.

Discussion 0
Question # 2

An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.

1. Create a new Field Generation prompt template.

2. Choose Case as the object type.

3. Select the custom field AI_Analysis_c as the target field.

After creating the prompt template, the Agentforce Specialist saves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the Agentforce Specialist was editing the field, it was behaving as a normal field.

Which critical step did the Agentforce Specialist miss?

Options:

A.  

They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.

B.  

They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.

C.  

They forgot to edit the Lightning page layout and associate the field to a prompt template

Discussion 0
Question # 3

What is the primary function of the reasoning engine in Agentforce?

Options:

A.  

Identifying agent topics and actions to respond to user utterances

B.  

Offering real-time natural language response during conversations

C.  

Generating record queries based on conversation history  

Discussion 0
Question # 4

Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source.  

How should UC troubleshoot this issue?

Options:

A.  

Analyze the data mapping between source fields and Data Cloud object fields.

B.  

Check that the agent has the PDF file field permission access for the data library.

C.  

Verify the retriever's filter criteria and data source connection.  

Discussion 0
Question # 5

Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

Options:

A.  

Route Work Action

B.  

Assignment

C.  

Decision

Discussion 0
Question # 6

What is the main benefit of using a Knowledge article in an Agentforce Data Library?

Options:

A.  

Only the retriever for Knowledge articles allows for agents to access Knowledge from both inside the platform and on a customer's website.

B.  

It provides a structured, searchable repository of approved documents so the agent can retrieve reliable information for each inquiry..

C.  

The retriever for Knowledge articles has better accuracy and performance than the default retriever.

Discussion 0
Question # 7

Universal Containers (UC) wants to limit an agent’s access to Knowledge articles while deploying the "Answer Questions with Knowledge" action. How should UC achieve this?

Options:

A.  

Define scope instructions to the agent specifying a list of allowed article titles or IDs.

B.  

Update the Data Library Retriever to filter on a custom field on the Knowledge article.

C.  

Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.

Discussion 0
Question # 8

How should an organization use the Einstein Trust layer to audit, track, and view masked data?

Options:

A.  

Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.

B.  

In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.

C.  

Access the audit trail in Setup and export all user-generated prompts.

Discussion 0
Question # 9

How does the AI Retriever function within Data Cloud?

Options:

A.  

It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.

B.  

It monitors and aggregates data quality metrics across various data pipelines to ensure only high-integrity data is used for strategic decision-making.

C.  

It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

Discussion 0
Question # 10

Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback

data to be accessible for reporting purposes.

What is a consideration for this requirement?

Options:

A.  

Storing this data requires Data Cloud to be provisioned.

B.  

Storing this data requires a custom object for data to be configured.

C.  

Storing this data requires Salesforce big objects.

Discussion 0
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