AI-201題庫更新 & AI-201最新試題

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
AI Agents35%- Agent setup and orchestration
  • 1. Standard and custom agent actions
    • 2. Standard and custom topics
      - Agent behavior configuration
      • 1. Agent reasoning engine concepts
        • 2. Filters and variables for deterministic behavior
          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
                  Testing, Deployment & Lifecycle15%- Agent lifecycle management
                  • 1. Testing and validation strategies
                    • 2. Sandbox to production deployment
                      Data Cloud & Grounding20%- Data integration for AI agents
                      • 1. Connecting external data sources
                        • 2. Using Data Cloud for retrieval augmentation
                          Governance & Observability10%- AI governance
                          • 1. Trust layer and compliance concepts
                            • 2. Monitoring agent behavior

                              >> AI-201題庫更新 <<

                              AI-201最新試題 & AI-201考試心得

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                              最新的 AI Specialist AI-201 免費考試真題 (Q152-Q157):

                              問題 #152
                              What is the main purpose of Prompt Builder?

                              答案：C

                              解題說明：
                              Prompt Builder is designed to help organizations create and configure reusable prompts for large language models (LLMs). By integrating generative AI responses into workflows, Prompt Builder enables customization of AI prompts that interact with Salesforce data and automate complex processes. This tool is especially useful for creating tailored and consistent AI-generated content in various business contexts, including customer service and sales.


                              問題 #153
                              Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source. How should UC troubleshoot this issue?

                              答案：C

                              解題說明：
                              Why is "Verify the retriever's filter criteria and data source connection" the correct answer?
                              If agent answers are not satisfactory when using PDF files as a knowledge source, the issue is likely caused by:
                              Retriever misconfiguration
                              If filters are too broad or too restrictive, AI may fail to find relevant information.
                              Checking filter logic and retrieval scope helps improve accuracy.
                              Incorrect data source connection
                              If the retriever is not properly linked to the PDF storage location, it may fail to retrieve relevant information.
                              Ensuring a stable connection between Salesforce Data Cloud and the retriever prevents retrieval failures.
                              Parsing Issues with PDF Files
                              If PDFs are not properly indexed, AI may struggle to extract relevant content.
                              Ensuring structured document formatting improves AI comprehension.


                              問題 #154
                              An Agentforce agent occasionally provides responses that reference outdated Case information.
                              What is the MOST effective way to reduce this issue?

                              答案：A

                              解題說明：
                              Grounding responses in live Salesforce CRM data ensures the agent uses current and accurate information.


                              問題 #155
                              Universal Containers aims to streamline the sales team's daily tasks by using AI. When considering these new workflows, which improvement requires the use of Prompt Builder?

                              答案：A

                              解題說明：
                              Prompt Builder is explicitly required to create AI-generated summary fields via prompt templates.
                              These fields use natural language instructions to extract or synthesize information (e.g., summarizing contract terms). Time-to-close estimations (A) and lead scores (C) are typically handled by predictive AI (e.g., Einstein Opportunity Scoring) or analytics tools, which do not require Prompt Builder.


                              問題 #156
                              Universal Containers (UC) wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template. How should UC accomplish this?

                              答案：C

                              解題說明：
                              UC needs to incorporate data from multiple unrelated objects (standard and custom) into a prompt template for a sales proposal.


                              問題 #157
                              ......

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