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Agentforce Specialist: Salesforce Certified Agentforce Specialist

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Last Updated
October - 2025
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English
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The Salesforce Certified Agentforce Specialist certification validates a professional's expertise in implementing and managing Agentforce tools within Salesforce, focusing on generative AI applications. Practicing with real exam questions shared by those who have successfully passed the exam can significantly enhance your preparation. In this guide, we provide Agentforce Specialist practice test questions and insights contributed by certified professionals.

Exam Details:

  • Exam Name: Salesforce Certified Agentforce Specialist

  • Exam Code: Agentforce-Specialist

  • Exam Format: Multiple-choice/multiple-select questions

  • Number of Questions: 60

  • Test Duration: 105 minutes

  • Passing Score: 73%

  • Exam Topics Covered:

    • Prompt Engineering (30%): Identifying appropriate use cases for Prompt Builder, managing prompt templates, and understanding grounding techniques.
    • Agentforce Concepts: Understanding the functionality of Agentforce, including its reasoning engine, standard and custom topics, agent actions, and user security management.
    • Agentforce and Data Cloud: Integrating Agentforce with Data Cloud to enhance response accuracy and personalize answers.
    • Agentforce and Service Cloud: Building agents that answer questions based on Knowledge articles and connecting them to digital channels.
    • Agentforce and Sales Cloud: Determining when to use Agentforce Sales Agents, such as Sales Development Representatives (SDRs) and Sales Coaches.

Why Use These Agentforce Specialist Practice Test Questions?

  • Real Exam Experience: Questions closely mirror the actual exam format, providing familiarity and reducing anxiety.

  • Identify Knowledge Gaps: Helps pinpoint areas requiring further study, allowing for focused preparation.

  • Up-to-Date Content: Regularly updated to reflect the latest exam objectives and industry practices.

  • Boost Confidence: Consistent practice builds confidence, ensuring you're well-prepared on exam day.

  • Improve Time Management: Practicing under timed conditions helps you manage the exam duration effectively.

Take advantage of these Agentforce Specialist practice test questions shared by certified professionals. Start practicing today and get one step closer to achieving your Salesforce Certified Agentforce Specialist certification!

Related questions

Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates.

Which type of flow should UC use?

Data Cloud-triggered flow

Data Cloud-triggered flow

Template-triggered prompt flow

Template-triggered prompt flow

Unified-object linking flow

Unified-object linking flow

Suggested answer: B
Explanation:

In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.

Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.

For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.

asked 19/03/2025
James Brion
43 questions

Universal Containers (UC) has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses.

Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?

Service AI Grounding

Service AI Grounding

Work Summaries

Work Summaries

Service Replies

Service Replies

Suggested answer: A
Explanation:

Service AI Grounding is the solution that Universal Containers should use to ensure Einstein AI drafts responses based on a well-defined data source. Service AI Grounding allows the AI model to be anchored in specific, relevant data sources, ensuring that any AI-generated responses (e.g., email replies) are accurate, relevant, and drawn from up-to-date information, such as Knowledge articles or cases.

Given that UC has legacy fields and outdated data, Service AI Grounding ensures that only the valid and applicable data is used by Einstein AI to craft responses. This helps improve the relevance of responses and avoids inaccuracies caused by outdated or irrelevant fields.

Work Summaries and Service Replies are useful features but do not address the need for grounding AI outputs in specific, current data sources like Service AI Grounding does.

For more details, you can refer to Salesforce's Service AI Grounding documentation for managing AI-generated content based on accurate data sources.

asked 19/03/2025
German Dario Jara
43 questions

A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best suits this need?

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Universal Containers deployed the new Agentforce Sales Development Representative (SDR) Into production, but sales reps are saying they can't find it. What is causing this issue?

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Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the Information from Oracle ERP, which is the system of record for the order fulfillment process.

How should an Agentforce Specialist apply the power of conversational AI to this use case?

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After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?

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Universal Containers (UC) configured a new PDF file ingestion in Data Cloud with all the required fields, and also created the mapping and the search Index. UC Is now setting up the retriever and notices a required fleld is missing.

How should UC resolve this?

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Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy. Which prompt template type should the Agentforce Specialist recommend?

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An Agentforce Agent has been developed with multiple topics and Agent Actions that use flows and Apex. Which options are available for deploying these to production?

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Universal Containers would like to route a service agent conversation to a human agent queue. Which tool connects the service agent to the human agent queue for escalation?

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