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Salesforce Agentforce-Specialist Prüfungsplan:

Thema	Einzelheiten
Thema 1	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.
Thema 2	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.
Thema 3	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.
Thema 4	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.
Thema 5	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.

>> Agentforce-Specialist Pruefungssimulationen <<

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Durch Salesforce Agentforce-Specialist Zertifizierungsprüfung wird sich viel Wandel bei Ihnen vollziehen. Beispielsweise werden Ihr Beruf und Leben sicher viel verbessert, weil die Salesforce Agentforce-Specialist Zertifizierungsprüfung sowieso eine ziemlich wichtige Prüfung ist. Aber so einfach ist es nicht, diese Prüfung zu bestehen.

Salesforce Certified Agentforce Specialist Agentforce-Specialist Prüfungsfragen mit Lösungen (Q146-Q151):

146. Frage
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?

A. The Agentforce Service Agent user was not given the Allow View Knowledge permission set.
B. The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.
C. The Agentforce Service Agent user is not assigned the correct Agent Type License.

Antwort: A

Begründung:
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.

147. Frage
Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles. When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly. What should UC do to troubleshoot the issue?

A. Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.
B. Create a new permission set that assigns "Manage Knowledge" and assign it to the Agentforce Service Agent User.
C. Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.

Antwort: C

Begründung:
Comprehensive and Detailed In-Depth Explanation:UC has set up an Agentforce Data Library with Knowledge articles, and while Prompt Builder retrieves the data correctly, the agent fails to do so in Agent Builder and Experience Cloud. Let's troubleshoot the issue.
* Option A: Create a new permission set that assigns "Manage Knowledge" and assign it to the Agentforce Service Agent User.The "Manage Knowledge" permission is for authoring and managing Knowledge articles, not for reading or retrieving them in an agent context. The Agentforce Service Agent User (a system user) needs read access to Knowledge, not management rights. This option is excessive and irrelevant to the grounding issue, making it incorrect.
* Option B: Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.Prompt templates in Prompt Builder don't require specific permissions beyond general Einstein Generative AI access. Since the Prompt Builder test works, the template and its grounding are accessible to the testing user. The issue lies with the agent's runtime access,not the template itself, making this incorrect.
* Option C: Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.When Knowledge articles are grounded via an Agentforce Data Library, they are often ingested into Data Cloud for indexing and retrieval. The Agentforce Service Agent User, which runs the agent, needs the "Data Cloud User" permission set (or equivalent) to access Data Cloud resources, including the Data Library. If this permission is missing, the agent cannot retrieve Knowledge article data during runtime (e.g., in Agent Builder or Experience Cloud), even though Prompt Builder (running under a different user context) succeeds. This is a common setup oversight and aligns with the symptoms, making it the correct answer.
Why Option C is Correct:The Agentforce Service Agent User's lack of Data Cloud access explains the failure in agent-driven contexts while Prompt Builder (likely run by an admin with broader permissions) succeeds. Assigning the "Data Cloud User" permission set resolves this, per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Data Library Setup > Permissions- Requires Data Cloud access for agents.
* Trailhead: Ground Your Agentforce Prompts- Notes Data Cloud User permission for Knowledge grounding.
* Salesforce Help: Agentforce Security > Agent User Setup- Lists required permission sets.

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

Antwort: B

Begründung:
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.

149. Frage
Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature.
Which API service should UC use to meet this requirement?

A. SOAP API
B. REST API
C. Metadata API

Antwort: B

Begründung:
To create a digest of account action plans using the generative API feature,Universal Containersshould use theREST API. TheREST APIis ideal for integrating Salesforce with external systems and enabling interaction with Salesforce data, including generative capabilities like creating summaries or digests. It supports modern web standards and is suitable for flexible, lightweight interactions between Salesforce and legacy systems.
* Metadata APIis used for retrieving and deploying metadata, not for data operations like generating summaries.
* SOAP APIis an older API used for integration but is less flexible compared to REST for this specific use case.
For more details, refer toSalesforce REST API documentationregarding using REST for data integration and generating content.

150. Frage
An Agentforce is considering using a Field Generation prompt template type.
What should theAgentforce Specialistcheck before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?

A. That the Lightning page layout where the field will reside has been upgraded to Dynamic Forms
B. That the org is set to API version 59 or higher
C. That the field chosen must be a rich text field with 255 characters or more.

Antwort: B

Begründung:
Before creating aField Generation prompt template, theAgentforce Specialistmust 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 toSalesforce documentation on API versioningandField Generation templates.

151. Frage
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