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Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
Topic 2
  • Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
Topic 3
  • 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.
Topic 4
  • 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 5
  • 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.

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Salesforce Certified Agentforce Specialist (AI-201) Sample Questions (Q70-Q75):

NEW QUESTION # 70
Cloud Kicks is developing a prompt template in a sandbox and has created multiple saved versions during testing. Cloud Kicks is now preparing to move the template to production.
What is a consideration when deploying the template to production?

Answer: B

Explanation:
The correct answer is C because prompt template versioning is part of the prompt template metadata lifecycle. When a prompt template is moved between environments, specialists must account for versions stored with the template in the source org. That is why template version management matters before deployment; test versions, inactive versions, and production-ready versions can all affect the metadata package. Option A is wrong because earlier versions do not have to be manually activated before deployment. Option B is wrong because deployment does not simply wipe all history and retain only one replacement version. Salesforce's CLI considerations for Prompt Builder confirm that template versions are represented in deployable XML and can be managed during deployment, including deletion behavior in the target org.


NEW QUESTION # 71
An Agentforce Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities. How should the Agentforce Specialist gather the necessary data for the prompt template?

Answer: C

Explanation:
In Salesforce Agentforce, a prompt template designed to populate a custom field (like "Latest Opportunities Summary" on the Account object) requires dynamic data to be fed into the template for AI to generate meaningful output. Here, the task is to gather data from the three most recently opened opportunities related to an account. The most robust and flexible way to achieve this is by using a Flow (Option B). Salesforce Flows allow the Agentforce Specialist to define logic to query the Opportunity object, filter for the three most recent opportunities (e.g., using a Get Records element with a sort by CreatedDate descending and a limit of
3), and pass this data as variables into the prompt template. This approach ensures precise control over the data retrieval process and can handle complex filtering or sorting requirements.
* Option A: Selecting the "latest Opportunities related list as a merge field" is not a valid option in Agentforce prompt templates. Merge fields can pull basic field data (e.g., {!Account.Name}), but they don't natively support querying or aggregating related list data like the three most recent opportunities.
* Option C: There is no "Account Opportunity object" in Salesforce; this seems to be a misnomer (perhaps implying the Opportunity object or a junction object). Even if interpreted as selecting the Opportunity object as a resource, prompt templates don't directly query related objects without additional logic (e.g., a Flow), making this incorrect.
* Option B: Flows integrate seamlessly with prompt templates via dynamic inputs, allowing the Specialist to retrieve and structure the exact data needed (e.g., Opportunity Name, Amount, Close Date) for the AI to summarize.
Thus, Option B is the correct method to gather the necessary data efficiently and accurately.
:
Salesforce Agentforce Documentation: "Integrate Flows with Prompt Templates" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.agentforce_flow_prompt_integration.htm&type=5) Trailhead: "Build Flows for Agentforce" (https://trailhead.salesforce.com/content/learn/modules/flows-for- agentforce)


NEW QUESTION # 72
An Agentforce Specialist deployed a Service Agent to an Experience Cloud site and enabled Credential-Based User Verification. The specialist notices that all Data Manipulation Language (DML) record updates are showing the "Last Modified By" user as the authenticated Community User instead of the Agent User.
What should the specialist explain to the business about the effect on audit fields?

Answer: A

Explanation:
The correct answer is A. Credential-Based User Verification ties the service interaction to the authenticated Experience Cloud user, so record access and record changes are evaluated through that verified user's security context. That explains why audit fields such as Last Modified By show the Community User rather than the generic Agent User. This is not an error; it is the expected governance outcome when the agent is operating with verified user identity. Option B is incorrect because system- context flow execution would explain bypassed sharing behavior, not why the authenticated user appears in audit fields. Option C is incorrect because the scenario explicitly states Credential-Based User Verification, not token-based verification. For regulated environments, this behavior is valuable because audit trails show which verified customer identity caused the record update.


NEW QUESTION # 73
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

Answer: C

Explanation:
Universal Containers (UC) aims to streamline customer support by addressing two goals: reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto-suggesting case field values. In Salesforce Agentforce for Service, Einstein Reply Recommendations and Case Classification (Option A) are the ideal combination to achieve this.
Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to-use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.
Option B: While "Einstein Reply Recommendations" is correct for the first part, "Case Summaries" generates a summary of the case rather than suggesting specific field values. Summaries are useful for documentation but don't directly reduce post-chat field entry time.
Option C: "Einstein Service Replies" is not a distinct, documented feature in Agentforce (possibly a distractor for Reply Recommendations), and "Work Summaries" applies more to summarizing work orders or broader tasks, not case field suggestions in a chat context.
Option A: This combination precisely targets both in-chat efficiency (Reply Recommendations) and post-chat automation (Case Classification).
Thus, Option A is the correct answer for UC's needs.
Salesforce Agentforce Documentation: "Einstein Reply Recommendations" (Salesforce Help: https://help.
salesforce.com/s/articleView?id=sf.einstein_reply_recommendations.htm&type=5) Salesforce Agentforce Documentation: "Case Classification" (Salesforce Help: https://help.salesforce.com/s
/articleView?id=sf.case_classification.htm&type=5)
Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce-for- service)


NEW QUESTION # 74
Choose 1 option.
What does it mean when a prompt template version is described as immutable?

Answer: A

Explanation:
According to the AgentForce Prompt Template Versioning Guide, when a prompt template version is marked as immutable, it means that no edits or modifications can be made to that version after it has been activated.
This ensures that the logic, wording, and grounding parameters tied to that version remain locked and consistent for auditing, reproducibility, and compliance purposes.
If further changes are required, the system automatically creates a new draft version of the template. The old version remains immutable and preserved for traceability.
Option B is incorrect because multiple versions can exist, and older versions can remain active under specific testing or rollback scenarios. Option C is partially true but incomplete-the immutability refers to the frozen nature of an active version, not just version creation.
Thus, the correct explanation is Option A - Once a prompt template version is activated, it becomes immutable and cannot be changed.
Reference: AgentForce Prompt Management Documentation - "Immutable Version Control in Prompt Templates."


NEW QUESTION # 75
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