[2026] Agentforce-Specialist Exam Dumps, Test Engine Practice Test Questions [Q93-Q109]

Rate this post

[2026] Agentforce-Specialist Exam Dumps, Test Engine Practice Test Questions

Pass Agentforce-Specialist exam [Jul 19, 2026] Updated 379 Questions

Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.
Topic 2	Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.
Topic 3	Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
Topic 4	Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
Topic 5	AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.

Q93. What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

Activities such as tasks and events are excluded.

Empty data, such as fields without values or sections without limits, is filtered out.

Email addresses associated with the object are excluded.

Comprehensive and Detailed In-Depth Explanation:
Record Snapshots grounding in Agentforce prompt templates allows the AI to access and use data from a specific Salesforce record (e.g., fields and related records) to generate contextually relevant responses.
However, there are specific limitations to consider. Let’s analyze each option based on official documentation.
* Option A: Activities such as tasks and events are excluded.According to Salesforce Agentforce documentation, when grounding a prompt template with Record Snapshots, the data included is limited to the record’s fields and certain related objects accessible via Data Cloud or direct Salesforce relationships. Activities (tasks and events) are not included in the snapshot because they are stored in a separate Activity object hierarchy and are not directly part of the primary record’s data structure. This is a key consideration for an Agentforce Specialist, as it means the AI won’t have visibility into task or event details unless explicitly provided through other grounding methods (e.g., custom queries). This limitation is accurate and critical to understand.
* Option B: Empty data, such as fields without values or sections without limits, is filtered out.
Record Snapshots include all accessible fields on the record, regardless of whether they contain values.
Salesforce documentation does not indicate that empty fields are automatically filtered out when grounding a prompt template. The Atlas Reasoning Engine processes the full snapshot, and empty fields are simply treated as having no data rather than being excluded. The phrase “sections without limits” is unclear but likely a typo or misinterpretation; it doesn’t align with any known Agentforce behavior.
This option is incorrect.
* Option C: Email addresses associated with the object are excluded.There’s no specific exclusion of email addresses in Record Snapshots grounding. If an email field (e.g., Contact.Email or a custom email field) is part of the record and accessible to the running user, it is included in the snapshot. Salesforce documentation does not list email addresses as a restricted data type in this context, making this option incorrect.
Why Option A is Correct:
The exclusion of activities (tasks and events) is a documented limitation of Record Snapshots grounding in Agentforce. This ensures specialists design prompts with awareness that activity-related context must be sourced differently (e.g., via Data Cloud or custom logic) if needed. Options B and C do not reflect actual Agentforce behavior per official sources.
References:
Salesforce Agentforce Documentation: Prompt Templates > Grounding with Record Snapshots- Notes that activities are not included in snapshots.
Trailhead: Ground Your Agentforce Prompts- Clarifies scope of Record Snapshots data inclusion.
Salesforce Help: Agentforce Limitations- Details exclusions like activities in grounding mechanisms.

Q94. Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases.
UC is considering implementing Agent and extending Service Cloud to mobile users.
When would Agent implementation be most advantageous?

When the goal is to streamline customer support processes and improve response times

When the main objective is to enhance data security and compliance measures

When the focus is on optimizing marketing campaigns and strategies

Q95. Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting.
Which business requirement would lead An Agentforce to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?

UC wants to fine-tune model temperature.

UC wants a model fine-tuned using company data.

UC wants to change the frequency penalty of the model.

Q96. Universal Containers is planning a marketing email about products that most closely match a customer’s expressed interests.
What should An Agentforce recommend to generate this email?

Standard email marketing template using Apex or flows for matching interest in products

Custom sales email template which is grounded with interest and product information

Standard email draft with Einstein and choose standard email template

Q97. Universal Containers (UC) needs to capture and store detailed interaction data for all agents.
Which feature should help UC get a full view of the agent’s behavior from start to finish, including reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses?

Agentforce Analytics

Utterance Analysis

Agentforce Session Tracing

Q98. A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
* Capture the customer’s issue, troubleshooting steps taken, and next actions.
* Be no longer than five sentences.
* Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state “No next action required.” Which prompt template fallows Salesforce prompt design best practices?
required.”
Format: Use numbered sentences for clarity.

Role: You are an experienced support agent.
Task: Summarize the case notes,
Context: Include customer issue, troubleshooting steps, and next actions.
Constraints: Limit to 5 sentences, use plain language, and if no next action is found, state “No next action

Role: You are a support agent writing a case summary.
Task: Provide a professional summary of the issue and troubleshooting steps.
Contest: Include customer issue, steps taken, and next actions if available.
Constraints: No strict sentence limit, but use plain language. If no next action is found, leave it out.
Format: Use paragraphs for readability.

Role: You are a case documentation assistant,
Task: Write a summary of the support call.
Context: Always describe the customer issue, troubleshooting, and resolution details.
Constraints: The summary should be comprehensive and professional, but there is no limit on length or language style.
Format: Use complete sentences in a narrative style.

Q99. Universal Containers wants to use an existing prompt template inside Flow as part of automation.

Invocable Apex

Einstein for Flow

Flow action

Q100. Universal Containers deploys a new Agentforce Service Agent into the company’s website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company’s Salesforce Knowledge articles. What is the likely issue?

The Agentforce Service Agent user is not assigned the correct Agent Type License.

The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.

The Agentforce Service Agent user was not given the Allow View Knowledge permission set.

Universal Containers (UC) has deployed an Agentforce Service Agent on its website, but it’s failing to provide answers from Salesforce Knowledge articles. Let’s troubleshoot the issue.
* Option A: The Agentforce Service Agent user is not assigned the correct Agent Type License.
There’s no “Agent Type License” in Salesforce-agent functionality is tied to Agentforce licenses (e.g., Service Agent license) and permissions. Licensing affects feature access broadly, but the specific issue of not retrieving Knowledge suggests a permission problem, not a license type, making this incorrect.
* Option B: The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.No “standard Agent Knowledge profile” exists. The Agentforce Service Agent runs under a system user (e.g., “Agentforce Agent User”) with a custom profile or permission sets. Profile creation isn’t the issue-access permissions are, making this incorrect.
* Option C: The Agentforce Service Agent user was not given the Allow View Knowledge permission set.The Agentforce Service Agent user requires read access to Knowledge articles to ground responses. The “Allow View Knowledge” permission (typically via the “Salesforce Knowledge User” license or a permission set like “Agentforce Service Permissions”) enables this. If missing, the agent can’t access Knowledge, even if articles are indexed, causing the reported failure. This is a common setup oversight and the likely issue, making it the correct answer.
Why Option C is Correct:
Lack of Knowledge access permissions for the Agentforce Service Agent user directly prevents retrieval of article content, aligning with the symptoms and Salesforce security requirements.
References:
Salesforce Agentforce Documentation: Service Agent Setup > Permissions – Requires Knowledge access.
Trailhead: Set Up Agentforce Service Agents – Lists “Allow View Knowledge” need.
Salesforce Help: Knowledge in Agentforce – Confirms permission necessity.

Q101. Choose 1 option.
Universal Containers (UC) stores case details and updates in several custom fields and custom objects related to the case. UC would like its Agentforce Service Agent to be able to provide information in these fields and related records as part of an answer back to its customers when the customer is asking for updates.
Which best practice should UC follow to grant access to this information for the Agentforce Service Agent?

Update the Object and Field access in the AgentforceServiceAgentUserPsg permission set group that is already assigned to the Agentforce Service Agent user,

Create a new permission set with the Einstein Agent License and enable Read access to the custom fields and custom objects, and assign it to the Agentforce Service Agent user.

Update the Object and Field access in the Einstein Agent User Profile so that the Agentforce Service Agents will always get the necessary access.

Q102. Universal Containers’ Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?

The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.

Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.

The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.

Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent.
Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let’ s evaluate the options.
Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce’s 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated. There’s no exemption based on activation status-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce’s Apex deployment rules.
Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn’t waive this requirement, making this incorrect.
Why Option A is Correct:
The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex – Notes standard Apex deployment rules apply.
Salesforce Developer Guide: Apex Testing – Confirms 75% coverage requirement.
Trailhead: Deploy Apex Code – Emphasizes coverage and dependencies for production.

Q103. What is a Salesforce Agentforce Specialist able to configure in Data Masking within the Einstein Trust Layer?

The profiles exempt from masking

The encryption keys for masking

The privacy data entities to be masked

Q104. Universal Containers deploys a new Agentforce Service Agent into the company’s website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company’s Salesforce Knowledge articles. What is the likely issue?

The Agentforce Service Agent user is not assigned the correct Agent Type License.

The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.

The Agentforce Service Agent user was not given the Allow View Knowledge permission set.

Comprehensive and Detailed In-Depth Explanation:
Universal Containers (UC) has deployed an Agentforce Service Agent on its website, but it’s failing to provide answers from Salesforce Knowledge articles. Let’s troubleshoot the issue.
* Option A: The Agentforce Service Agent user is not assigned the correct Agent Type License.
There’s no “Agent Type License” in Salesforce-agent functionality is tied to Agentforce licenses (e.g., Service Agent license) and permissions. Licensing affects feature access broadly, but the specific issue of not retrieving Knowledge suggests a permission problem, not a license type, making this incorrect.
* Option B: The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.No “standard Agent Knowledge profile” exists. The Agentforce Service Agent runs under a system user (e.g., “Agentforce Agent User”) with a custom profile or permission sets. Profile creation isn’t the issue-access permissions are, making this incorrect.
* Option C: The Agentforce Service Agent user was not given the Allow View Knowledge permission set.The Agentforce Service Agent user requires read access to Knowledge articles to ground responses. The “Allow View Knowledge” permission (typically via the “Salesforce Knowledge User” license or a permission set like “Agentforce Service Permissions”) enables this. If missing, the agent can’t access Knowledge, even if articles are indexed, causing the reported failure. This is a common setup oversight and the likely issue, making it the correct answer.
Why Option C is Correct:
Lack of Knowledge access permissions for the Agentforce Service Agent user directly prevents retrieval of article content, aligning with the symptoms and Salesforce security requirements.
References:
Salesforce Agentforce Documentation: Service Agent Setup > Permissions- Requires Knowledge access.
Trailhead: Set Up Agentforce Service Agents- Lists “Allow View Knowledge” need.
Salesforce Help: Knowledge in Agentforce- Confirms permission necessity.

Q105. Universal Containers wants to assign agents to improve department efficiency.
Which configuration ensures the right tasks are handled by the right agents?

SDR Agent for lead qualification, Service Agent for support tickets, Employee Agent for HR requests

Sales Coach Agent for lead and service Agent for HR requests, and Support tickets to ensure cases are available

One Service Agent to efficiently handle each of these scenarios, which reduces the number of agent types needed for support

Q106. Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

Secure Data Retrieval and Grounding

Data Masking

Prompt Defense

Q107. Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

Route Work Action

Assignment

Decision

Q108. What is the correct process to leverage Prompt Builder in a Salesforce org?

Select the appropriate prompt template type to use, select one of Salesforce’s standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action.

Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.

Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action.

Q109. Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities. What is one criterion that Agentforce for Sales uses to match similar opportunities?

Matched opportunities have a status of Closed Won from the last 12 months.

Matched opportunities are limited to the same account.

Matched opportunities were created in the last 12 months.