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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Cloud & Grounding20%- Data integration for AI agents
  • 1. Connecting external data sources
    • 2. Using Data Cloud for retrieval augmentation
      Topic 2: Testing, Deployment & Lifecycle15%- Agent lifecycle management
      • 1. Sandbox to production deployment
        • 2. Testing and validation strategies
          Topic 3: 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
                  Topic 4: Governance & Observability10%- AI governance
                  • 1. Trust layer and compliance concepts
                    • 2. Monitoring agent behavior
                      Topic 5: 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

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                              In today's highly competitive Salesforce market, having the AI-201 certification is essential to propel your career forward. To earn the Salesforce AI-201 certification, you must successfully pass the AI-201 Exam. However, preparing for the Salesforce AI-201 exam can be challenging, with potential hurdles like exam anxiety and time constraints.

                              Salesforce Certified Agentforce Specialist Sample Questions (Q100-Q105):

                              NEW QUESTION # 100
                              Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

                              Answer: C

                              Explanation:
                              In the Einstein Trust Layer, the toxicity scoring system is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1 indicates that the content is deemed safe.
                              The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by the Einstein Trust Layer.
                              For further reference, check Salesforce's official Einstein Trust Layer documentation regarding toxicity scoring for AI-generated content.


                              NEW QUESTION # 101
                              Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements. What should An Agentforce recommend to resolve the issue?

                              Answer: C

                              Explanation:
                              When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the Agentforce Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.


                              NEW QUESTION # 102
                              Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent. Which Service Channel should the company use in the flow to ensure it's routed properly?

                              Answer: C

                              Explanation:
                              UC wants to route SMS text messages from an Agentforce Service Agent to a service rep using a flow.


                              NEW QUESTION # 103
                              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?

                              Answer: A

                              Explanation:
                              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.


                              NEW QUESTION # 104
                              Universal Containers wants to automatically populate the Description field on the Account object.

                              Answer: C


                              NEW QUESTION # 105
                              ......

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