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Salesforce Agentforce-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	Agentforce and Service Cloud: This section measures the skills of AI Engineers and focuses on building agents that answer questions based on Knowledge articles and connecting them to digital channels. It also covers identifying the correct generative AI features in Agentforce for Service Cloud scenarios.
Topic 2	Agentforce and Sales Cloud: This section assesses the skills of AI Developers and covers identifying the correct generative AI features in Agentforce for Sales Cloud scenarios. It also includes determining when to use Agentforce Sales Agents, such as Sales Development Representatives (SDRs) and Sales Coaches.
Topic 3	Agentforce and Data Cloud: This section measures the skills of AI Developers and addresses how Agentforce integrates with Data Cloud to improve response accuracy and personalize answers. It involves grounding with retrievers in Data Cloud to enhance agent performance.
Topic 4	Prompt Engineering: This section measures the skills of AI Developers and focuses on prompt engineering techniques. It covers identifying when to use Prompt Builder, managing prompt templates, selecting appropriate grounding techniques, and explaining the process for creating and executing prompt templates.
Topic 5	Agentforce Concepts: This section assesses the skills of AI Engineers and covers how Agentforce works, including its reasoning engine, standard and custom topics, agent actions, and user security management. It also includes testing and deploying agents from sandbox to production environments.

Salesforce Certified Agentforce Specialist Sample Questions (Q186-Q191):

NEW QUESTION # 186
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.
What should UC consider when using standard Service AI Grounding?

A. Service AI Grounding only supports String and Text Area type fields.
B. Service AI Grounding only works with Case and Knowledge objects.
C. Service AI Grounding visibility works m system mode.

Answer: A

Explanation:
Service AI Grounding retrieves data from Salesforce objects to ground AI-generated responses. Key considerations:
* Field Types: Standard Service AI Grounding supports String and Text Area fields. Custom rich text fields (e.g., RichTextArea) are not supported, making Option B correct.
* Objects: While Service AI Grounding primarily uses Case and Knowledge objects (Option A), the limitation here is the field type, not the object.
* Visibility: Service AI Grounding respects user permissions and sharing settings unless overridden (Option C is incorrect).
References:
* Salesforce Help: Service AI Grounding Requirements
* Explicitly states support for "Text Area and String fields" only.

NEW QUESTION # 187
Universal Containers (UC) has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps.
Which generative AI solution should the new support reps use to understand the details of a case without reading through each case comment?

A. Agent
B. Einstein Work Summaries
C. Einstein Sales Summaries

Answer: B

Explanation:
New customer support reps at Universal Containers can use Einstein Work Summaries to quickly understand the details of a case without reading through each case comment. Work Summaries leverage generative AI to provide a concise overview of ongoing cases, summarizing all relevant information in an easily digestible format.
* Agent can assist with a variety of tasks but is not specifically designed for summarizing case details.
* Einstein Sales Summaries are focused on summarizing sales-related activities, which is not applicable for support cases.
For more details, refer to Salesforce documentation on Einstein Work Summaries.

NEW QUESTION # 188
An Agentforce turned on Einstein Generative AI in Setup. Now, theAgentforce Specialistwould like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

A. The Prompt Template Manager permission set was not assigned correctly.
B. The Prompt Template User permission set was not assigned correctly.
C. The large language model (LLM) was not configured correctly in Data Cloud.

Answer: A

Explanation:
In order to access and create custom prompt templates inPrompt Builder, theAgentforce Specialistmust have thePrompt Template Managerpermission set assigned. Without this permission, they will not be able to accessPrompt Builderin the Setup menu, even thoughEinstein Generative AIis enabled.
* Option Bis correct because thePrompt Template Managerpermission set is required to usePrompt Builder.
* Option A(Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.
* Option C(LLM configuration in Data Cloud) is unrelated to the ability to accessPrompt Builder.
References:
* Salesforce Prompt Builder Permissions:https://help.salesforce.com/s/articleView?id=sf.
prompt_builder_permissions.htm

NEW QUESTION # 189
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?

A. Custom sales email template which is grounded with interest and product information
B. Standard email marketing template using Apex or flows for matching interest in products
C. Standard email draft with Einstein and choose standard email template

Answer: A

Explanation:
To generate an email about products that closely match a customer's expressed interests, An Agentforce should recommend using acustom sales email templatethat isgrounded with interest and product information. This ensures that the email content is personalized based on the customer's preferences, increasing the relevance of the marketing message.
Using grounding ensures that the generative AI pulls the correct data related to customer interests and product matches, making the email more effective.
For more information, refer toSalesforce documentationon grounding AI-generated content and email personalization strategies.

NEW QUESTION # 190
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?

A. The related list is not on the parent object's page layout.
B. The related list is Read Only.
C. The related list prompt template option is not enabled.

Answer: A

Explanation:
Comprehensive and Detailed In-Depth Explanation:UC has grounded a prompt template with a related list, but the responses are incorrect during UAT. Grounding with related lists in Agentforce allows the AI to access data from child records linked to a parent object. Let's analyze the options.
* Option A: The related list is Read Only.Read-only status (e.g., via field-level security or sharing rules) might limit user edits, but it doesn't inherently prevent the AI from accessing related list data for grounding, as long as the running user (or system context) has read access. This is unlikely to cause incorrect responses and is not a primary consideration, making it incorrect.
* Option B: The related list prompt template option is not enabled.There's no specific "related list prompt template option" toggle in Prompt Builder. When grounding with a Record Snapshot or Flex template, related lists are included if properly configured (e.g., via object relationships). This option seems to be a misphrasing and doesn't align with documented settings, making it incorrect.
* Option C: The related list is not on the parent object's page layout.In Agentforce, grounding with related lists relies on the related list being defined and accessible in the parent object's metadata, often tied to its presence on the page layout. If the related list isn't on the layout, the AI might not recognize or retrieve its data correctly, leading to incomplete or incorrect responses. Salesforce documentation notes that related list data availability can depend on layout configuration, making this a plausible and common issue during UAT, and thus the correct answer.
Why Option C is Correct:The absence of the related list from the parent object's page layout can disrupt data retrieval for grounding, leading to incorrect AI responses. This is a known configuration consideration in Agentforce setup and testing, as per official guidance.
References:
* Salesforce Agentforce Documentation: Grounding with Related Lists- Notes dependency on page layout configuration.
* Trailhead: Ground Your Agentforce Prompts- Highlights related list setup for accurate grounding.
* Salesforce Help: Troubleshoot Prompt Responses- Lists layout issues as a common grounding problem.

NEW QUESTION # 191
......

Agentforce-Specialist certification can demonstrate your mastery of certain areas of knowledge, which is internationally recognized and accepted by the general public as a certification. Agentforce-Specialist certification is so high that it is not easy to obtain it. It requires you to invest time and energy. If you are not sure whether you can strictly request yourself, our Agentforce-Specialist Exam Training can help you. Help is to arrange time for you and provide you with perfect service. If you use our learning materials to achieve your goals, we will be honored. Agentforce-Specialist exam prep look forward to meeting you.

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Agentforce-Specialist Valid Test Pass4sure, Agentforce-Specialist Trustworthy Source

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Salesforce Agentforce-Specialist Exam Syllabus Topics:

Salesforce Certified Agentforce Specialist Sample Questions (Q186-Q191):

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