Practice Free Salesforce Agentforce Specialist Exam Online Questions – Page 8

Question #71

Universal Containers is auditing its AI architecture and needs to ensure that its developers are

restricted to using only specifically approved large language models.

How should an Agentforce Specialist manage and prevent unapproved models from being accessed across the organization?

A . Apply an Attribute-Based Access Control policy within the Einstein Trust Layer to block prompts from routing to unapproved large language models
B . Write a strict system instruction within Agent Builder stating, “Never use external models for reasoning”
C . Ensure only approved large language models are enabled in the Model Provider section under Einstein Setup

Reveal Solution Hide Solution

Question #72

Universal Containers recently added a custom flow for processing returns and created a new Agent Action.

Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

A . Recreate the flow using the Agentforce agent user.
B . Assign the Manage Users permission to the Agentforce Agent user.
C . Assign the Run Flows permission to the Agentforce Agent user.

Reveal Solution Hide Solution

Correct Answer: C
C

Explanation:

UC has created a custom flow for processing returns and linked it to a new Agent Action for the Agentforce Service Agent, an AI-driven agent for customer service tasks. The agent must have the ability to execute this flow. Let’s assess the options.

Option A: Recreate the flow using the Agentforce agent user.

Flows are authored by admins or developers, not "recreated" by specific users like the Agentforce agent user (a system user for agent operations). The issue isn’t the flow’s creation context but its execution permissions. This option is impractical and incorrect.

Option B: Assign the Manage Users permission to the Agentforce Agent user.

The "Manage Users" permission allows user management (e.g., creating or editing users), which is unrelated to running flows. This permission is excessive and irrelevant for the Service Agent’s needs, making it incorrect.

Option C: Assign the Run Flows permission to the Agentforce Agent user.

The Agentforce Service Agent operates under a dedicated system user (e.g., "Agentforce Agent User") with a specific profile or permission set. To execute a flow as part of an Agent Action, this user must have the "Run Flows" permission, either via its profile or a permission set (e.g., Agentforce Service Permissions). This ensures the agent can invoke the custom flow for processing returns, aligning with Salesforce’s security model and Agentforce setup requirements. This is the correct answer.

Why Option C is Correct:

Granting the "Run Flows" permission to the Agentforce Agent user is the standard, documented step to enable flow execution in Agent Actions, ensuring the Service Agent can process returns as intended.

Reference: Salesforce Agentforce Documentation: Agent Builder > Custom Actions C Requires "Run Flows" for flow-based actions.

Trailhead: Set Up Agentforce Service Agents C Lists "Run Flows" in agent user permissions.

Salesforce Help: Agentforce Security > Permissions C Confirms flow execution needs.

Question #73

Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent.

Which Service Channel should the company use in the flow to ensure it’s routed properly?

A . Live Agent
B . Route Work Action
C . Messaging

Reveal Solution Hide Solution

Question #74

Before activating a custom copilot action, An Agentforce would like is to understand multiple real-world user utterances to ensure the action being selected appropriately.

Which tool should the Agentforce Specialist recommend?

A . Model Playground
B . Agent
C . Copilot Builder

Reveal Solution Hide Solution

Question #75

A data science team has trained an XGBoost classification model for product recommendations on Databricks. The Agentforce Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).

How should the Agentforce Specialist set this up?

A . Create the serving endpoint in Databricks, then configure the model using Model Builder.
B . Create the serving endpoint in Einstein Studio, then configure the model using Model Builder.
C . Create the serving endpoint in Databricks, then configure the model using a Python SDK connector.

Reveal Solution Hide Solution

Question #76

Universal Containers needs to ensure that its agent can immediately process customer returns by validating order eligibility before proceeding with the return process. UC wants to maintain a natural conversational flow for customers while ensuring that the order validation step is strictly followed.

What should the Agentforce Specialist do to achieve the desired outcome?

A . Use Salesforce Flow to guide the large language model in handling order validation and the return process.
B . Use a custom Apex @InvocableMethod to handle the entire return process.
C . Use procedural instructions in Agent Script to enforce the order validation step.

Reveal Solution Hide Solution

Question #77

An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order.

Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?

A . Specify the dependent actions with the reference to the action API name.
B . Specify the profiles or custom permissions allowed to invoke the action.
C . Specify the LLM model provider and version to be used to invoke the action.

Reveal Solution Hide Solution

Question #77

A . Specify the dependent actions with the reference to the action API name.
B . Specify the profiles or custom permissions allowed to invoke the action.
C . Specify the LLM model provider and version to be used to invoke the action.

Reveal Solution Hide Solution

Question #79

What is automatically created when a custom search index is created in Data Cloud?

A . A retriever that shares the name of the custom search index.
B . A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.
C . A predefined Apex retriever class that can be edited by a developer to meet specific needs.

Reveal Solution Hide Solution

Correct Answer: A
A

Explanation:

In Salesforce Data Cloud, a custom search index is created to enable efficient retrieval of data (e.g., documents, records) for AI-driven processes, such as grounding Agentforce responses. Let’s evaluate the options based on Data Cloud’s functionality.

Option A: A retriever that shares the name of the custom search index.

When a custom search index is created in Data Cloud, a corresponding retriever is automatically generated with the same name as the index. This retriever leverages the index to perform contextual

searches (e.g., vector-based lookups) and fetch relevant data for AI applications, such as Agentforce prompt templates. The retriever is tied to the indexed data and is ready to use without additional configuration, aligning with Data Cloud’s streamlined approach to AI integration. This is explicitly documented in Salesforce resources and is the correct answer.

Option B: A dynamic retriever to allow runtime selection of retriever parameters without manual configuration.

While dynamic behavior sounds appealing, there’s no concept of a "dynamic retriever" in Data Cloud that adjusts parameters at runtime without configuration. Retrievers are tied to specific indexes and operate based on predefined settings established during index creation. This option is not supported by official documentation and is incorrect.

Option C: A predefined Apex retriever class that can be edited by a developer to meet specific needs.

Data Cloud does not generate Apex classes for retrievers. Retrievers are managed within the Data Cloud platform as part of its native AI retrieval system, not as customizable Apex code. While developers can extend functionality via Apex for other purposes, this is not an automatic outcome of creating a search index, making this option incorrect.

Why Option A is Correct:

The automatic creation of a retriever named after the custom search index is a core feature of Data Cloud’s search and retrieval system. It ensures seamless integration with AI tools like Agentforce by providing a ready-to-use mechanism for data retrieval, as confirmed in official documentation.

Reference: Salesforce Data Cloud Documentation: Custom Search Indexes C States that a retriever is auto-created with the same name as the index.

Trailhead: Data Cloud for Agentforce C Explains retriever creation in the context of search indexes.

Salesforce Help: Set Up Search Indexes in Data Cloud C Confirms the retriever-index relationship.

Question #80

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?

A . Presence Penally
B . Variability
C . Temperature

Reveal Solution Hide Solution

1 2 3 4 5 6 7 8 9 10 11 12

Exams