Salesforce Salesforce Agentforce Specialist Practice Exams
Last updated on Oct 22,2026- Exam Code: Salesforce Agentforce Specialist
- Exam Name: Salesforce Agentforce Specialist
- Certification Provider: Salesforce
- Latest update: Oct 22,2026
Question #81
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
- A . Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
- B . Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
- C . Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
Correct Answer: C
C
Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
Option C is correct because it enables visibility into toxic language detection within the Trust Layer and allows for auditing responses for toxicity.
Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.
Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.
Reference: Salesforce Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm
C
Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
Option C is correct because it enables visibility into toxic language detection within the Trust Layer and allows for auditing responses for toxicity.
Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.
Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.
Reference: Salesforce Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm
Question #82
In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?
- A . Recipient Opportunities
- B . Recipient Account
- C . User Organization
Correct Answer: B
B
Explanation:
Sales Email Template Use Case:
When creating a Sales email template (especially for outreach or follow-up), you often need to reference relevant details about the Account linked to the recipient.
Standard Merge Fields in Salesforce Email Templates:
o Recipient (Contact, Lead, or Person receiving the email)
o Sender (User sending the email)
Recipient Account (the Account related to that Contact, providing company-level details and other relevant data)
Why Recipient Account?
For Sales communications, referencing the Account data (e.g., Account name, industry, or other custom fields) in an email is very common.
o This is especially important for B2B scenarios where the Contact is tied to an Account.
“Recipient Opportunities” could be multiple, so it’s less direct for standard email merges. The “User Organization” is more generic internal information, not typically inserted for personalization to the recipient.
Reference and Study Resources:
o Salesforce Help & Training → Email Templates: Merge Fields
o Salesforce Trailhead → “Create and Customize Email Templates in Sales Cloud”
Salesforce Agentforce Specialist Study Resources (covers recommended best practices for leveraging standard objects like Account in AI-powered or prompt-based communications)
B
Explanation:
Sales Email Template Use Case:
When creating a Sales email template (especially for outreach or follow-up), you often need to reference relevant details about the Account linked to the recipient.
Standard Merge Fields in Salesforce Email Templates:
o Recipient (Contact, Lead, or Person receiving the email)
o Sender (User sending the email)
Recipient Account (the Account related to that Contact, providing company-level details and other relevant data)
Why Recipient Account?
For Sales communications, referencing the Account data (e.g., Account name, industry, or other custom fields) in an email is very common.
o This is especially important for B2B scenarios where the Contact is tied to an Account.
“Recipient Opportunities” could be multiple, so it’s less direct for standard email merges. The “User Organization” is more generic internal information, not typically inserted for personalization to the recipient.
Reference and Study Resources:
o Salesforce Help & Training → Email Templates: Merge Fields
o Salesforce Trailhead → “Create and Customize Email Templates in Sales Cloud”
Salesforce Agentforce Specialist Study Resources (covers recommended best practices for leveraging standard objects like Account in AI-powered or prompt-based communications)
Question #83
Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality.
What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?
- A . Action Triggers
Instructions
Output Types
Correct Answer: B
B
Explanation:
Comprehensive and Detailed In-Depth
UC’s development team needs to identify a core component of a Custom Agent Action in Agent Builder. Let’s assess the options.
Option A: Action Triggers
"Action Triggers" isn’t a term used in Agentforce Custom Agent Action configuration. Actions are invoked by topics or plans, not standalone triggers, making this incorrect.
Option B: Instructions
Instructions are a core component of a Custom Agent Action in Agentforce. Defined in Agent Builder, they guide the Atlas Reasoning Engine on how to execute the action (e.g., what to do with inputs, how to process data). Reviewing the instructions helps the team understand the action’s purpose and logic, making this the correct answer.
Option C: Output Types
While outputs are part of an action’s result, "Output Types" isn’t a distinct configuration element in Agent Builder. Outputs are determined by the action’s execution (e.g., Flow or Apex), not a separate setting, making this less core and incorrect.
Why Option B is Correct:
Instructions are a fundamental component of Custom Agent Actions, providing the AI’s execution directives, as per Salesforce documentation.
Reference: Salesforce Agentforce Documentation: Agent Builder > Custom Actions C Highlights instructions as key.
Trailhead: Build Agents with Agentforce C Details configuring actions with instructions.
Salesforce Help: Create Custom Actions C Confirms instructions’ role.
B
Explanation:
Comprehensive and Detailed In-Depth
UC’s development team needs to identify a core component of a Custom Agent Action in Agent Builder. Let’s assess the options.
Option A: Action Triggers
"Action Triggers" isn’t a term used in Agentforce Custom Agent Action configuration. Actions are invoked by topics or plans, not standalone triggers, making this incorrect.
Option B: Instructions
Instructions are a core component of a Custom Agent Action in Agentforce. Defined in Agent Builder, they guide the Atlas Reasoning Engine on how to execute the action (e.g., what to do with inputs, how to process data). Reviewing the instructions helps the team understand the action’s purpose and logic, making this the correct answer.
Option C: Output Types
While outputs are part of an action’s result, "Output Types" isn’t a distinct configuration element in Agent Builder. Outputs are determined by the action’s execution (e.g., Flow or Apex), not a separate setting, making this less core and incorrect.
Why Option B is Correct:
Instructions are a fundamental component of Custom Agent Actions, providing the AI’s execution directives, as per Salesforce documentation.
Reference: Salesforce Agentforce Documentation: Agent Builder > Custom Actions C Highlights instructions as key.
Trailhead: Build Agents with Agentforce C Details configuring actions with instructions.
Salesforce Help: Create Custom Actions C Confirms instructions’ role.
Question #84
What does it mean when a prompt template version is described as immutable?
- A . Only the latest version of a template can be activated.
- B . Every modification on a template will be saved as a new version automatically.
- C . Prompt template version is activated; no further changes can be saved to that version.
Correct Answer: C
C
Explanation:
When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.
Option A is incorrect: Any version (not just the latest) can be activated, depending on the use case.
Option D is incorrect: Modifications require manually creating a new version; automatic versioning is not enforced.
Option C is correct: Activation locks the version, enforcing immutability.
Reference: Salesforce Help: Prompt Template Versioning
States that "activated prompt template versions are immutable and cannot be edited."
C
Explanation:
When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.
Option A is incorrect: Any version (not just the latest) can be activated, depending on the use case.
Option D is incorrect: Modifications require manually creating a new version; automatic versioning is not enforced.
Option C is correct: Activation locks the version, enforcing immutability.
Reference: Salesforce Help: Prompt Template Versioning
States that "activated prompt template versions are immutable and cannot be edited."
Question #85
An administrator is responsible for ensuring the security and reliability of Universal Containers’ (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC’s need?
- A . Data masking
- B . Dynamic grounding with secure data retrieval
- C . Zero-data retention policy
Correct Answer: B
B
Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce’s Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model’s outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
Reference: Salesforce Developer Documentation on Einstein Trust Layer
Salesforce Security Documentation for AI and Data Privacy
B
Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce’s Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model’s outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
Reference: Salesforce Developer Documentation on Einstein Trust Layer
Salesforce Security Documentation for AI and Data Privacy
Question #86
An Agentforce is considering using a Field Generation prompt template type.
What should the Agentforce Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?
- A . That the field chosen must be a rich text field with 255 characters or more.
- B . That the org is set to API version 59 or higher
- C . That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms
Correct Answer: B
B
Explanation:
Before creating a Field Generation prompt template, the Agentforce Specialist must ensure that the Salesforce org is set to API version 59 or higher. This version of the API introduces support for advanced generative AI features, such as enabling fields for generative AI outputs. This is a critical technical requirement for the Field Generation prompt template to function correctly.
Option A (rich text field requirement) is not necessary for generative AI functionality.
Option C (Dynamic Forms) does not impact the ability of a field to be generative AI-enabled, although it might enhance the user interface.
For more information, refer to Salesforce documentation on API versioning and Field Generation templates.
B
Explanation:
Before creating a Field Generation prompt template, the Agentforce Specialist must ensure that the Salesforce org is set to API version 59 or higher. This version of the API introduces support for advanced generative AI features, such as enabling fields for generative AI outputs. This is a critical technical requirement for the Field Generation prompt template to function correctly.
Option A (rich text field requirement) is not necessary for generative AI functionality.
Option C (Dynamic Forms) does not impact the ability of a field to be generative AI-enabled, although it might enhance the user interface.
For more information, refer to Salesforce documentation on API versioning and Field Generation templates.
Question #87
An account manager is preparing for an upcoming customer call and wishes to get a snapshot of key data points from accounts, contacts, leads, and opportunities in Salesforce.
Which feature provides this?
- A . Sales Summaries
- B . Sales Insight Summary
- C . Work Summaries
Correct Answer: B
B
Explanation:
Sales Insight Summary aggregates key data points from multiple Salesforce objects (accounts, contacts, leads, opportunities) into a consolidated view, enabling account managers to quickly access relevant information for customer calls.
Option A (Sales Summaries): Typically refers to Einstein-generated summaries of specific interactions (e.g., emails, calls), not multi-object snapshots.
Option C (Work Summaries): Focuses on summarizing customer service interactions (e.g., chat transcripts), not sales data.
Option B (Sales Insight Summary): Directly provides a holistic snapshot of sales-related objects, aligning with the scenario.
Reference: Salesforce Help: Sales Insight Overview
Describes Sales Insight Summary as "a unified view of account, contact, and opportunity data for sales readiness."
B
Explanation:
Sales Insight Summary aggregates key data points from multiple Salesforce objects (accounts, contacts, leads, opportunities) into a consolidated view, enabling account managers to quickly access relevant information for customer calls.
Option A (Sales Summaries): Typically refers to Einstein-generated summaries of specific interactions (e.g., emails, calls), not multi-object snapshots.
Option C (Work Summaries): Focuses on summarizing customer service interactions (e.g., chat transcripts), not sales data.
Option B (Sales Insight Summary): Directly provides a holistic snapshot of sales-related objects, aligning with the scenario.
Reference: Salesforce Help: Sales Insight Overview
Describes Sales Insight Summary as "a unified view of account, contact, and opportunity data for sales readiness."
Question #88
An Agentforce is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform.
What is the correct method for the Agentforce Specialist to assign actions to an Agent?
- A . Assign the action to a Topic First in Agent Builder.
- B . Assign the action to a Topic first on the Agent Actions detail page.
- C . Assign the action to a Topic first on Action Builder.
Correct Answer: C
C
Explanation:
Action Builder is the central place in Salesforce Agentforce where you define and manage actions that your AI agents can perform. This includes connecting actions to various tools and systems.
Topics in Agentforce represent the different tasks or intents that an AI agent can handle. By assigning an action to a Topic in Action Builder, you’re essentially telling the agent, "When you encounter this type of request or situation, perform this action."
C
Explanation:
Action Builder is the central place in Salesforce Agentforce where you define and manage actions that your AI agents can perform. This includes connecting actions to various tools and systems.
Topics in Agentforce represent the different tasks or intents that an AI agent can handle. By assigning an action to a Topic in Action Builder, you’re essentially telling the agent, "When you encounter this type of request or situation, perform this action."
Question #89
Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should the Agentforce Specialist set up to enable UC’s sales team?
- A . Call Summaries
- B . Call Explorer
- C . Call Insights
Correct Answer: C
C
Explanation:
To enable Universal Containers’ sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the Agentforce Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.
Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.
Call Explorer is a tool for navigating through call data but does not focus on automatic insights.
For more information, refer to Salesforce’s Call Insights documentation regarding the analysis of call content and extracting actionable information.
C
Explanation:
To enable Universal Containers’ sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the Agentforce Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.
Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.
Call Explorer is a tool for navigating through call data but does not focus on automatic insights.
For more information, refer to Salesforce’s Call Insights documentation regarding the analysis of call content and extracting actionable information.
Question #90
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
- A . A data pipeline, an indexing engine, and a query processor
- B . A data connector, an analytics dashboard, and a workflow rule
- C . A data stream, a search index, and a retriever
Correct Answer: C
C
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
o This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
o After ingestion, data is indexed for efficient search and retrieval.
o This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
o It ensures that AI-generated responses are grounded in structured, reliable data.
Why Not the Other Options?
C
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
o This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
o After ingestion, data is indexed for efficient search and retrieval.
o This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
o It ensures that AI-generated responses are grounded in structured, reliable data.
Why Not the Other Options?