AI-201 Fragen Und Antworten & AI-201 Prüfungsvorbereitung

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development Lifecycle	15%	- Testing agents in Testing Center - Deployment: sandbox to production - Version control and maintenance - Monitoring, adoption and optimization
Topic 2: Prompt Engineering	20%	- Grounding techniques and best practices - Prompt management and user roles - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types
Topic 3: AI Agents	35%	- Agent User security and permissions - Topics and actions configuration - Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack - Agent architecture and reasoning engine - Deterministic controls: filters and variables
Topic 4: Data Cloud for Agentforce	20%	- Unstructured data processing: chunking, indexing - Agentforce Data Library types - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding
Topic 5: Multi-Agent Interoperability	5%	- Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP)

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q102-Q107):

102. Frage
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refining its prompt design strategy, which key practices should UC prioritize?

A. Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
B. Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
C. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

Antwort: A

Begründung:
For Universal Containers (UC) to refine its Generative AI prompt design strategy and improve the accuracy of the generated summaries for the custom object Guest, the best practice is to focus on crafting concise, clear, and consistent prompt templates. This includes:
Effective grounding: Ensuring the prompt pulls data from the correct sources.
Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
Clear instructions: Giving unambiguous directions on what to include in the response.
Iterative feedback: Regularly testing and adjusting prompts based on user feedback.

103. Frage
An Agentforce Specialist is creating a prompt template to assist support reps in drafting responses to customer complaints. To ensure the responses are empathetic and helpful, what is a key element to include in the prompt template?

A. A direct instruction to the large language model (LLM) to role-play as a character
B. The entire history of the customer's previous interactions with the company
C. A list of keywords related to customer complaints

Antwort: A

Begründung:
The Prompt Builder Best Practices Guide emphasizes including a role instruction in prompts to set tone and communication style. The document explains: "Role-playing instructions (e.g., `You are an empathetic customer support agent') are a best practice for ensuring the LLM adopts the desired persona, tone, and style in responses."

104. 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 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?

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

Antwort: C

Begründung:
Why is "Create a custom Agent action which calls a flow" the correct answer?
In Agentforce, the best way to allow service agents to query order fulfillment status from an external system (Oracle ERP) using natural language is to create a custom Agent action that invokes an existing autolaunched flow.
Key Considerations for This Approach:
Custom Agent Action Triggers the Flow
A custom Agent action is designed to call Salesforce flows, enabling external system integration.
The flow retrieves real-time fulfillment data from Oracle ERP and returns results to the agent.
Enables AI-Powered Query Execution
The Agent can understand natural language and map user utterances to the correct Agent action.
This ensures that agents receive accurate order fulfillment updates quickly.
No Need for Manual Data Entry
Instead of manually searching Oracle ERP, agents can query fulfillment status using AI-powered Agentforce workflows.

105. Frage
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the Agentforce Specialist recommend?

A. Reply Recommendations and Sales Summaries
B. Service Replies and Case Summaries
C. Service Replies and Work Summaries

Antwort: B

Begründung:
To improve the productivity of the service center, the Agentforce Specialist should recommend the Service Replies and Case Summaries features.
Service Replies helps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
Case Summaries provide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
Work Summaries are not as relevant for direct customer service operations, and Sales Summaries are focused on sales processes, not service center productivity.

106. Frage
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?

A. Custom metadata types
B. Reports and Dashboards
C. Einstein Trust Layer governance controls
D. Lightning App Builder

Antwort: C

Begründung:
The Einstein Trust Layer enforces data residency, masking, and compliance policies.

107. Frage
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