Test AI-201 Sample Questions | AI-201 Test Sample Questions

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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: Prompt Engineering20%- Grounding techniques
      • 1. Best practices for prompt design
        • 2. Data grounding for reducing hallucinations
          - Prompt Builder usage
          • 1. Field generation and flex templates
            • 2. Prompt templates and configuration
              Topic 3: Data Cloud & Grounding20%- Data integration for AI agents
              • 1. Using Data Cloud for retrieval augmentation
                • 2. Connecting external data sources
                  Topic 4: 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 agent actions
                        • 2. Standard and custom topics
                          Topic 5: Testing, Deployment & Lifecycle15%- Agent lifecycle management
                          • 1. Sandbox to production deployment
                            • 2. Testing and validation strategies

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                              AI-201 Test Sample Questions, Real AI-201 Dumps

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                              Salesforce Certified Agentforce Specialist Sample Questions (Q260-Q265):

                              NEW QUESTION # 260
                              Universal Containers has a requirement to provide a sales summary for its sales reps who are using Employee Agents, but they are not happy with the default answer. Which best practice should the AgentForce Specialist recommend?

                              Answer: A

                              Explanation:
                              Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
                              According to the AgentForce Prompt Customization and Template Development Guide, when an organization wants to modify or enhance how structured data (like Salesforce records) is summarized or presented by an agent, the correct approach is to create a Record Summary custom prompt template.
                              Record Summary templates allow specialists to tailor how the agent interprets and communicates record information - such as opportunities, accounts, or sales summaries - ensuring the output aligns with company-specific terminology, tone, and data needs.


                              NEW QUESTION # 261
                              An Agentforce agent must retrieve data from Salesforce and an external system. What is the recommended approach?

                              Answer: B

                              Explanation:
                              External data access should be handled via Apex or Flow integrations, not direct LLM training.


                              NEW QUESTION # 262
                              What is the role of the large language model (LLM) in executing an Agent Action?

                              Answer: A

                              Explanation:
                              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.


                              NEW QUESTION # 263
                              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?

                              Answer: A

                              Explanation:
                              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.


                              NEW QUESTION # 264
                              What does it mean when a prompt template version is described as immutable?

                              Answer: A

                              Explanation:
                              When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.


                              NEW QUESTION # 265
                              ......

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