Salesforce AI-201최신업데이트덤프공부, AI-201최신버전공부문제

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Governance & Observability10%- AI governance
  • 1. Trust layer and compliance concepts
    • 2. Monitoring agent behavior
      Topic 2: AI Agents35%- 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
              Topic 3: Data Cloud & Grounding20%- Data integration for AI agents
              • 1. Using Data Cloud for retrieval augmentation
                • 2. Connecting external data sources
                  Topic 4: Prompt Engineering20%- Grounding techniques
                  • 1. Data grounding for reducing hallucinations
                    • 2. Best practices for prompt design
                      - Prompt Builder usage
                      • 1. Prompt templates and configuration
                        • 2. Field generation and flex templates
                          Topic 5: Testing, Deployment & Lifecycle15%- Agent lifecycle management
                          • 1. Sandbox to production deployment
                            • 2. Testing and validation strategies

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                              최신 AI Specialist AI-201 무료샘플문제 (Q308-Q313):

                              질문 # 308
                              Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities.

                              정답:B


                              질문 # 309
                              Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
                              What is a consideration for this requirement?

                              정답:A

                              설명:
                              When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data.
                              The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI- powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.
                              Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.
                              Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real- time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.


                              질문 # 310
                              Universal Containers (UC) has registered an external service and created a template-triggered prompt flow that invokes the external service to fetch data from a REST API. UC now needs to make the response data from the external service usable inside a prompt template as a merge field when the template runs. How should UC meet this requirement?

                              정답:C

                              설명:
                              As outlined in the AgentForce External Services and Prompt Flow Integration Guide, when data is retrieved from a registered external service via REST API, the response payload is stored as External Service Records. These records can then be referenced dynamically within prompt templates through External Service Record merge fields.
                              This approach allows the large language model (LLM) to use the fetched data as contextual grounding during prompt execution, ensuring that generated responses are accurate and consistent with the latest API results.


                              질문 # 311
                              Universal Containers (UC) is implementing Agentforce Service Agent on Email, UC made an email template and now needs to connect it to a Service Agent. What should an Agentforce Specialist recommend?

                              정답:A

                              설명:
                              According to the AgentForce for Service Configuration Guide, when implementing Service Agents on Email, administrators must create an Email Configuration to connect the agent with the appropriate email channel and templates. The documentation specifies: "To enable Service Agents to handle emails, create an Email Configuration that links the agent to the email address, template, and routing parameters. This configuration allows the Service Agent to read, interpret, and respond using the defined template."


                              질문 # 312
                              Universal Containers has set up a Service Agent to allow customers to look up their order status.
                              The topic setup includes:
                              Name: Order Inquiry
                              Classification Description: Handles user requests to look up order status, including tracking details and delivery estimates for orders placed within the last 90 days.
                              Scope: Your job is only to assist authenticated users in looking up the status of their orders placed within the last 90 days. If the order is pending delivery, provide the tracking number and estimated delivery date. Do not handle inquiries for orders older than 90 days.
                              Which information will be used by the Agentforce reasoning engine to choose this topic?

                              정답:A

                              설명:
                              The AgentForce Reasoning Engine Guide explains that the engine relies primarily on the Classification Description and Scope fields to determine which topic best matches the user's intent. The documentation notes: "Classification Description defines the purpose and context of a topic, while Scope provides the operational boundaries for when and how that topic should be triggered. Together, they guide the LLM in selecting the appropriate topic at runtime."


                              질문 # 313
                              ......

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