最高AI-201｜有難いAI-201試験関連情報試験｜試験の準備方法Salesforce Certified Agentforce Specialist受験資格

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SalesforceのAI-201認定試験は人気があるIT認証に属するもので、野心家としてのIT専門家の念願です。このような受験生はAI-201認定試験で高い点数を取得して、自分の構成ファイルは市場の需要と互換性があるように充分な準備をするのは必要です。

Salesforce AI-201 Exam Syllabus Topics:

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

                              >> AI-201試験関連情報 <<

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                              Salesforce Certified Agentforce Specialist 認定 AI-201 試験問題 (Q213-Q218):

                              質問 # 213
                              Before activating a custom Agent action, an Agentforce Specialist would like to understand multiple real-world user utterances to ensure the action is being selected appropriately. Which tool should the Specialist recommend?

                              正解：B


                              質問 # 214
                              A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers. Which solution approach should the admin leverage?

                              正解：A

                              解説：
                              To generate personalized emails using LLMs while reusing templates:
                              Sales Email Prompt Template Type (Option C): Designed specifically for generating dynamic email content by combining LLMs with structured templates. It allows admins to define placeholders (e.g., customer name, product details) and reuse templates across scenarios.


                              質問 # 215
                              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?

                              正解：C

                              解説：
                              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.


                              質問 # 216
                              Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
                              - No data is used for LLM training or product improvements by third-
                              party LLMs.
                              - No data is retained outside of UC's Salesforce org.
                              - The data sent cannot be accessed by the LLM provider.
                              Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?

                              正解：A

                              解説：
                              Universal Containers (UC) has concerns about data privacy when using Salesforce's generative AI features, particularly around preventing third-party LLMs from accessing or retaining their data.
                              The Zero-Data Retention Policy in the Einstein Trust Layer is designed to address these concerns by ensuring that:
                              No data is used for training or product improvements by third-party LLMs.
                              No data is retained outside of the customer's Salesforce organization.
                              The LLM provider cannot access any customer data.
                              This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
                              Prompt Defense and Data Masking are also security features, but they do not directly address the concerns related to third-party data access and retention.


                              質問 # 217
                              Universal Containers (UC) wants to enable its sales team to use AI to suggest recommended products from its catalog. Which type of prompt template should UC use?

                              正解：C

                              解説：
                              UC needs an AI solution to suggest products from a catalog for its sales team.


                              質問 # 218
                              ......

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