AI-201 Prüfungsfragen Prüfungsvorbereitungen 2026: Salesforce Certified Agentforce Specialist - Zertifizierungsprüfung Salesforce AI-201 in Deutsch Englisch pdf downloaden

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Cloud & Grounding	20%	- Data integration for AI agents 1. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
AI Agents	35%	- Agent behavior configuration 1. Filters and variables for deterministic behavior 2. Agent reasoning engine concepts - Agent setup and orchestration 1. Standard and custom topics 2. Standard and custom agent actions
Prompt Engineering	20%	- Prompt Builder usage 1. Field generation and flex templates 2. Prompt templates and configuration - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Testing and validation strategies 2. Sandbox to production deployment

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AI-201 Zertifizierungsfragen, Salesforce AI-201 PrüfungFragen

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q287-Q292):

287. Frage
What is the role of the large language model (LLM) in executing an Agent Action?

A. Determine a user's access and sort actions by priority to be executed
B. Identify the best matching actions and correct order of execution
C. Find similar requests and provide actions that need to be executed

Antwort: B

Begründung:
In Agent, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.
By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.

288. Frage
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process. How should An Agentforce apply the power of conversational AI to this use case?

A. Create a custom copilot action which calls a flow.
B. Create a Flex prompt template in Prompt Builder.
C. Configure the Integration Flow Standard Action in Agent.

Antwort: A

Begründung:
To enable Universal Containers service agents to query the current fulfillment status of an order using natural language and leverage an existing auto-launched flow that queries Oracle ERP, the best solution is to create a custom copilot action that calls the flow. This action will allow Agent to interact with the flow and retrieve the required order fulfillment information seamlessly. Custom copilot actions can be tailored to call various backend systems or flows in response to user requests.

289. Frage
What is the purpose of applying filters in a custom retriever configuration?

A. Filters reformat and aggregate multiple documents into a single summary output to streamline and unify retriever output for more efficient and accurate Al grounding.
B. Filters automatically encrypt and mask sensitive fields in the search index to ensure that only non- confidential information is retrieved for public queries.
C. Filters narrow the search results by applying up to 10 conditions based on fields defined in the search index, thereby enhancing the relevancy of the content returned.

Antwort: C

Begründung:
The AgentForce Retriever Configuration Guide specifies that filters are used to refine and constrain search results within a retriever setup. Filters operate by applying conditions (up to 10) on indexed fields such as document type, category, region, or update date. This targeted filtering ensures that the retrieved data is highly relevant to the current user query or context.
For instance, an AgentForce retriever could be configured to include only documents tagged as
"Active" or within a specific product line, reducing noise and improving grounding accuracy for the LLM. This mechanism supports precision retrieval, which directly improves both the accuracy and reliability of generated responses.

290. Frage
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?

A. Enable a sates team to use natural language to invoke defined sales tasks grounded in relevant data and be able to ensure company policies are applied. conversationally and in the now or work.
B. Enable a sales team by providing them with an interactive step-by-step guide based on business rules to ensure accurate data entry into Salesforce and help close deals fatter.
C. Instantly review and read incoming messages or emails that are then logged to the correct opportunity, contact, and account records to provide a full view of customer interactions and communications.

Antwort: A

Begründung:
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.

291. Frage
Universal Containers has a new AI project. What should An Agentforce consider when adding a related list on the Account object to be used in the prompt template?

A. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
B. Prompt Builder must be used to assign the fields from the related list as a JSON format.
C. The fields for the related list are based on the default page layout of the Account for the current user.

Antwort: A

Begründung:
Universal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce's generative AI setup.
Prompt Builder Behavior
Selecting a Related List: Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.
Field Picker: Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.

292. Frage
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