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Salesforce Agentforce-Specialist Prüfungsplan:

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

>> Agentforce-Specialist Vorbereitung <<

Salesforce Agentforce-Specialist Quiz - Agentforce-Specialist Studienanleitung & Agentforce-Specialist Trainingsmaterialien

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Salesforce Certified Agentforce Specialist (AI-201) Agentforce-Specialist Prüfungsfragen mit Lösungen (Q72-Q77):

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

Antwort: B

Begründung:
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.

73. Frage
When creating a custom retriever in Einstein Studio, which step is considered essential?

A. Configure the search index, choose vector or hybrid search, choose the fields for filtering, the data space and model, then define the ranking method.
B. Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.
C. Define the output configuration by specifying the maximum number of results to return, and map the output fields that will ground the prompt.

Antwort: B

Begründung:
In Salesforce's Einstein Studio (part of the Agentforce ecosystem), creating a custom retriever involves setting up a mechanism to fetch data for AI prompts or responses. The essential step is defining the foundation of the retriever: selecting the search index, specifying the data model object (DMO), and identifying the data space (Option A). These elements establish where and what the retriever searches:
* Search Index: Determines the indexed dataset (e.g., a vector database in Data Cloud) the retriever queries.
* Data Model Object (DMO): Specifies the object (e.g., Knowledge Articles, Custom Objects) containing the data to retrieve.
* Data Space: Defines the scope or environment (e.g., a specific Data Cloud instance) for the data.
Filters are noted as optional in Option A, which is accurate-they enhance precision but aren't mandatory for the retriever to function. This step is foundational because without it, the retriever lacks a target dataset, rendering it unusable.
* Option B: Defining output configuration (e.g., max results, field mapping) is important for shaping the retriever's output, but it's a secondary step. The retriever must first know where to search (A) before output can be configured.
* Option C: This option includes advanced configurations (vector/hybrid search, filtering fields, ranking method), which are valuable but not essential. A basic retriever can operate without specifying search type or ranking, as defaults apply, but it cannot function without a search index, DMO, and data space.
* Option A: This is the minimum required step to create a functional retriever, making it essential.
Option A is the correct answer as it captures the core, mandatory components of retriever setup in Einstein Studio.
:
Salesforce Agentforce Documentation: "Custom Retrievers in Einstein Studio" (Salesforce Help: https://help.
salesforce.com/s/articleView?id=sf.einstein_studio_retrievers.htm&type=5) Trailhead: "Einstein Studio for Agentforce" (https://trailhead.salesforce.com/content/learn/modules/einstein- studio-for-agentforce)

74. Frage
An Agentforce Service Agent, who has been successfully assisting customers with service requests in Salesforce, is now unable to help customers with issues related to a new product replacement process. The company recently implemented a custom Product Replacement object in Salesforce to track and manage these replacements. Which Agentforce Agent User change must be implemented to address this issue?

A. The permission set assigned to the Agent User needs Read access to the custom Product Replacement object.
B. The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.
C. The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow.

Antwort: A

Begründung:
Why is "Permission Set Read Access" the correct answer?
If an Agentforce Service Agent is unable to assist customers with the new Product Replacement process, it is likely due to missing object permissions.
Key Considerations for Object Access in Agentforce:
Custom Objects Require Permission Set Access
The new Product Replacement object must be explicitly assigned to the agent's permission set.
Without Read access, the agent cannot view or interact with the object.
Ensuring Full Data Access for Agents
In Setup # Permission Sets, the admin should:# Grant Read access to the Product Replacement object# Ensure that related fields (e.g., status, replacement reason) are also accessible Aligning AI and Agent Workflows If Einstein AI is used to suggest solutions, the agent must have visibility into the Product Replacement object for context-aware responses.
Why Not the Other Options?
# A. The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow.
Incorrect because flow permissions only control automation access, not direct object access.
If an agent cannot view the object, the flow will not be visible or usable.
# C. The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.
Incorrect because AI training permissions relate to model learning and improvement, not object visibility.
Agentforce Specialist References
Salesforce AI Specialist Material confirms that permission sets control object-level access for Agentforce users.

75. Frage
Universal Containers has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?

A. General FAQ topic and Answers Questions with Knowledge Action.
B. General CRM topic and Answers Questions with LLM Action.
C. General Q&A topic and Knowledge Article Answers action.

Antwort: A

Begründung:
UC's agent answers questions using Knowledge articles, configured in Agent Builder. Let's identify the topic and action.
Option A: General Q&A topic and Knowledge Article Answers action."General Q&A" is not a standard topic name in Agentforce, and "Knowledge Article Answers" isn't a predefined action. This lacks specificity and doesn't match documentation, making it incorrect.
Option B: General CRM topic and Answers Questions with LLM Action."General CRM" isn't a default topic, and "Answers Questions with LLM" suggests raw LLM responses, not Knowledge-grounded ones. This doesn't align with the Knowledge focus, making it incorrect.
Option C: General FAQ topic and Answers Questions with Knowledge Action.In Agent Builder, the "General FAQ" topic is a common default or starting point for question-answering agents. The "Answers Questions with Knowledge" action (sometimes styled as "Answer with Knowledge") is a prebuilt action that retrieves and grounds responses with Knowledge articles. This matches UC's implementation and is explicitly supported in documentation, making it the correct answer.
Why Option C is Correct:
"General FAQ" and "Answers Questions with Knowledge" are the standard topic-action pair for Knowledge- based question answering in Agentforce, per Salesforce resources.
References:
Salesforce Agentforce Documentation: Agent Builder > Actions - Lists "Answers Questions with Knowledge." Trailhead: Build Agents with Agentforce - Describes FAQ topics with Knowledge actions.
Salesforce Help: Knowledge in Agentforce - Confirms this configuration.

76. Frage
An Agentforce Specialist is creating a custom action in Agentforce. Which option is available for the Agentforce Specialist to choose for the custom Agent action?

A. SOQL
B. Apex Trigger
C. Flows

Antwort: C

Begründung:
The Agentforce Specialist is defining a custom action for an Agentforce agent in Agent Builder. Actions determine what the agent does (e.g., retrieve data, update records). Let's evaluate the options.
Option A: Apex TriggerApex Triggers are event-driven scripts, not selectable actions in Agent Builder. While Apex can be invoked via other means (e.g., Flows), it's not a direct option for custom agent actions, making this incorrect.
Option B: SOQLSOQL (Salesforce Object Query Language) is a query language, not an executable action type in Agent Builder. While actions can use queries internally, SOQL isn't a standalone option, making this incorrect.
Option C: FlowsIn Agentforce Studio's Agent Builder, custom actions can be created using Salesforce Flows.
Flows allow complex logic (e.g., data retrieval, updates, or integrations) and are explicitly supported as a custom action type. The specialist can select an existing Flow or create one, making this the correct answer.
Option D: JavaScriptJavaScript isn't an option for defining agent actions in Agent Builder. It's used in Lightning Web Components, not agent configuration, making this incorrect.
Why Option C is Correct:
Flows are a native, flexible option for custom actions in Agentforce, enabling tailored functionality for agents, as per official documentation.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions - Lists Flows as a supported action type.
Trailhead: Build Agents with Agentforce - Details Flow-based actions.
Salesforce Help: Configure Agent Actions - Confirms Flows integration.

77. Frage
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P.S. Kostenlose 2026 Salesforce Agentforce-Specialist Prüfungsfragen sind auf Google Drive freigegeben von ZertSoft verfügbar: https://drive.google.com/open?id=17xahLEB7XDoUonPbXw7K2Q2DcIVULTDw