Agentforce-Specialist Exam Questions With Explanations

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Salesforce Agentforce-Specialist Exam Sample Questions 2025

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22044 already prepared
Salesforce Spring 25 Release18-Sep-2025
204 Questions
4.9/5.0

Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system.
For the given flow, what should the Agentforce Specialist consider about the running user's data access?

A. The flow must have the "with sharing" permission selected m the advanced settings for the permissions, field-level security, and sharing settings to be respected.

B. The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow

C. The Agent will always run flows in system mode so the running user's data access will not affect the data returned.

B.   The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow


Explanation

When a flow is invoked via a custom Agent action, its data access depends on the flow’s runtime configuration, not system mode by default. Salesforce flows can be configured to respect the running user’s permissions and sharing settings:

If the flow is set to "Run as the User Who Launched the Flow" (enabled in Flow Settings), it adheres to the user’s permissions, field-level security (FLS), and sharing rules.

Option C is incorrect because flows do not always run in system mode unless explicitly configured to do so.

Option A is misleading because "with sharing" is an Apex concept, not a flow setting. Flows use runtime settings like FLS and sharing enforcement.

What is the primary function of the planner service in the Einstein Copilot system?

A. Generating record queries based on conversation history

B. Offering real-time language translation during conversations

C. Identifying copilot actions to respond to user utterances

C.   Identifying copilot actions to respond to user utterances

Explanation:

The Planner Service in Einstein Copilot is responsible for:
Action Identification & Execution

Analyzes user utterances (e.g., "Update the case priority") to:
. Match intent to the best Copilot action (e.g., "Change Case Priority").
. Determine execution order if multiple actions are needed.

Orchestrates the workflow, ensuring actions run in the correct sequence.

Why Not the Other Options?

A. "Generating record queries":
This is handled by retrievers or flows, not the Planner.

B. "Real-time translation":
This is a language model capability, not part of the Planner’s role.

Key Benefit:
Enables multi-step processes (e.g., "Check inventory, then place an order").

Reference:
Salesforce Help - Einstein Copilot Planner

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?

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

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

Explanation

Let’s analyze why the sparkle icon (✨) isn’t appearing:

Field Generation prompt templates work like this:

You create a prompt template and link it to:
. An object (e.g. Case)
. A specific field (e.g. AI_Analysis__c)

After you activate the prompt template, you must update the Lightning Record Page to connect:
. The field → to → the new prompt template.

This critical last step is:

Associating the field on the Lightning page layout to the Field Generation prompt template.

If you don’t do this:
The field remains a normal field with no ✨ icon.
The page has no knowledge that a prompt template is supposed to power that field.
The user can’t trigger AI generation for that field.

Hence, Option C is correct.

Why the other options are incorrect:

Option A (Reactivate Lightning page layout):

There’s no concept of “re-activating” the page layout.
You simply edit the layout to associate fields with prompt templates.

Option B (Case object not supported for Field Generation):

This is incorrect.
The Case object is fully supported for Field Generation prompts.
Einstein Service Replies are for chat responses, not for filling fields on a record.

Thus, the correct explanation is:
C. They forgot to edit the Lightning page layout and associate the field to a prompt template.

🔗 Reference
Salesforce Developer Docs — Field Generation Prompt Templates
Salesforce Blog — How to Enable Generative AI in Record Pages

When creating a custom retriever in Einstein Studio, which step is considered essential?

A. Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.

B. Define the output configuration by specifying the maximum number of results to return, and map the output fields that will ground the prompt.

C. Configure the search index, choose vector or hybrid search, choose the fields for filtering, the data space and model, then define the ranking method.

A.   Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.


Explanation

Comprehensive and Detailed In-Depth Explanation: In Salesforce’s Einstein Studio (part of the Agentforce ecosystem), creating a custom retriever involves setting up a mechanism to fetch data for AI prompts or responses. The essential step is defining the foundation of the retriever: selecting the search index, specifying the data model object (DMO), and identifying the data space(Option A). These elements establish where and what the retriever searches:

Search Index: Determines the indexed dataset (e.g., a vector database in Data Cloud) the retriever queries.

Data Model Object (DMO): Specifies the object (e.g., Knowledge Articles, Custom Objects) containing the data to retrieve.
Data Space: Defines the scope or environment (e.g., a specific Data Cloud instance) for the data. Filters are noted as optional in Option A, which is accurate—they enhance precision but aren’t mandatory for the retriever to function. This step is foundational because without it, the retriever lacks a target dataset, rendering it unusable.

Option B: Defining output configuration (e.g., max results, field mapping) is important for shaping the retriever’s output, but it’s a secondary step. The retriever must first know where to search (A) before output can be configured.

Option C: This option includes advanced configurations (vector/hybrid search, filtering fields, ranking method), which are valuable but not essential. A basic retriever can operate without specifying search type or ranking, as defaults apply, but it cannot function without a search index, DMO, and data space.

Option A: This is the minimum required step to create a functional retriever, making it essential. Option A is the correct answer as it captures the core, mandatory components of retriever setup in Einstein Studio.

An Agentforce needs to enable the use of Sales Email prompt templates for the sales team. The Agentforce Specialist has already created the templates in Prompt Builder.
According to best practices, which steps should the Agentforce Specialist take to ensure the sales team can use these templates?

A. Assign the Prompt Template User permission set and enable Sales Emails in Setup.

B. Assign the Prompt Template Manager permission set and enable Sales Emails in setup.

C. Assign the Data Cloud Admin permission set and enable Sales Emails in Setup.

A.   Assign the Prompt Template User permission set and enable Sales Emails in Setup.

Explanation

To ensure that Sales Email prompt templates created in Prompt Builder are usable by the sales team, the Agentforce Specialist must take two key actions:

✅ Step 1: Permission Assignment

Assign the Prompt Template User permission set to the sales users.
This grants access to:

. Use published/activated prompt templates.
. Generate AI content (e.g., sales emails) based on the templates.

It does not allow editing templates — only using them.

🔒 The Prompt Template Manager permission set is for those who create/edit templates — not needed for sales end users.

✅ Step 2: Enable Sales Emails in Setup

Navigate to: Setup > Einstein Sales Emails > Settings
Enable Sales Emails and configure any required objects (e.g., Opportunity, Contact).
This ensures Salesforce knows to allow sales email generation using generative AI and linked prompt templates.

❌ Why the Other Options Are Incorrect:

B. Prompt Template Manager:
This gives too much access (editing, managing templates).
Not required unless the user is building or managing prompt templates.

C. Data Cloud Admin:
Irrelevant in this context.
Only needed if working with data ingestion or activation in Data Cloud.

✅ Summary:

1️⃣ Assign Prompt Template User permission set to sales users
2️⃣ Enable Sales Emails in Setup to activate the feature

✅ Therefore, the correct choice is:
A. Assign the Prompt Template User permission set and enable Sales Emails in Setup.

🔗 References:

Salesforce Help — Set Up Einstein Sales Emails
Salesforce Help — Permission Sets for Prompt Templates

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Frequently Asked Questions

The Agentforce Specialist Exam is a certification test designed for professionals who implement and manage Service Cloud Agentforce, a Salesforce solution that enhances contact center operations. The exam validates expertise in configuring Agentforce, optimizing agent productivity, and integrating it with other Salesforce Service Cloud features.
The exam covers five main domains:

Prompt Engineering (30%): Identifying when to use Prompt Builder, managing prompt templates, and understanding grounding techniques.
Agentforce Concepts (30%): Understanding how agents work, leveraging the Atlas reasoning engine, managing actions, testing, and deployment.
Agentforce and Data Cloud (20%): Using the Agentforce Data Library and Data Cloud retrievers to improve response accuracy.
Agentforce and Service Cloud (10%): Building agents to answer questions using Knowledge articles and connecting to digital channels.
Agentforce and Sales Cloud (10%): Identifying use cases for Agentforce Sales Agents like SDR and Sales Coach.
Number of questions: 60 multiple-choice/multiple-select questions
Time allowed: 105 minutes
Passing score: 73%
To prepare, use Salesforce Trailhead modules, particularly the “Become an Agentblazer” pathway and the “Cert Prep: Agentforce Specialist” module. Hands-on practice in an Agentforce-enabled Developer Org is crucial for understanding real-world scenarios. Additionally, practice exam from SalesforceKing can help test your knowledge and identify weak areas. Joining the Trailblazer Community or Slack Agentblazer Community can also provide valuable support and insights.
The exam is considered moderate to challenging, requiring practical experience with Agentforce. Salesforce recommends:

6+ months of hands-on experience with Agentforce
Completing Service Cloud Consultant certification (recommended but not mandatory)
Reviewing Salesforce’s official exam guide and trailmix
SalesforceKing provides up-to-date practice test tailored for the Salesforce Agentforce Specialist Exam, covering key topics like Prompt Engineering, Agentforce Concepts, and integrations with Data, Service, and Sales Clouds. This practice test include real-world scenarios and hands-on exercises that mirror the exam format, helping candidates familiarize themselves with question styles and identify knowledge gaps early for focused study.
Yes, candidates using SalesforceKing Salesforce Agentforce Specialist practice test are reported to have a 90-95% first-attempt pass rate, compared to 50-60% for those without practice test. The platform’s questions simulate the actual exam environment, improve time management, and boost confidence by highlighting strengths and weaknesses, allowing for targeted preparation and reducing the likelihood of retakes.