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| Section | Weight | Objectives |
|---|---|---|
| AI Agents | 35% | - Agent behavior configuration
|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Prompt Engineering | 20% | - Prompt Builder usage
|
| Governance & Observability | 10% | - AI governance
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
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The Salesforce AI-201 certification exam is one of the top-rated and valuable credentials in the Salesforce world. This Salesforce AI-201 exam questions is designed to validate the candidate's skills and knowledge. With Salesforce Certified Agentforce Specialist exam dumps everyone can upgrade their expertise and knowledge level. By doing this the successful AI-201 Exam candidates can gain several personal and professional benefits in their career and achieve their professional career objectives in a short time period.
NEW QUESTION # 277
Cloud Kicks (CK) recently finished the development of a new prompt template that uses its own large language model (LLM). CK is deploying a prompt template from a sandbox to a production org, and is receiving an error. When trying to deploy the change set, CK is getting an error related to the LLM used in the prompt template. What is the cause of the error?
Answer: A
Explanation:
As documented in the AgentForce Prompt Template and BYOLLM (Bring-Your-Own-LLM) Deployment Guide, each prompt template references a specific LLM configuration by name and ID. When migrating components between environments (e.g., from sandbox to production), the referenced LLM must also exist in the target org with the exact same name and identifier.
If the LLM configuration is missing or named differently in production, the deployment fails, as the prompt template cannot resolve its model dependency.
NEW QUESTION # 278
An AgentForce Specialist wants to troubleshoot an agent that is hallucinating weblinks. The agent has an action that uses a prompt template, which is using a knowledge retriever, to generate the output text that the agent will use. Which process is appropriate to find the root cause of the hallucination behavior?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Troubleshooting and Optimization Guide, hallucinations - instances where the agent fabricates details such as weblinks or data - often occur due to issues in prompt construction or retrieved content grounding. The recommended diagnostic process involves inspecting the prompt template instructions and reviewing the resolved prompt output, including the actual retrieved knowledge chunks.
By examining these areas, the AgentForce Specialist can determine whether the hallucinated content originates from ambiguous prompt phrasing, missing grounding variables, or irrelevant retrieval results. This approach ensures an evidence-based investigation directly linked to the agent's reasoning and generation steps.
NEW QUESTION # 279
Universal Containers needs to create Data Cloud reports to understand agent behavior. Which data lake object (DLO) represents an overarching container capturing contiguous interactions with one or more Al agents?
Answer: A
Explanation:
Per the AgentForce Data Cloud Integration Guide, the AI Agent Session (AIAGENTSESSION) object represents an overarching container that tracks a continuous interaction between one or more AI agents and a user. The document describes: "AI Agent Session is the parent container for a contiguous set of AI Agent interactions. It captures metadata, start and end times, and the relationship to individual messages exchanged during the session."
NEW QUESTION # 280
An Agentforce Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time, UC wants to help prep the sales team for calls by:
- Summarizing past purchases
- Displaying products the contact has shown interest in (with data
captured via Data Cloud)
- Providing a recap of past email and phone conversations that have
transcripts
Which approach should the Agentforce Specialist recommend to achieve this goal?
Answer: B
Explanation:
The AgentForce No-Code Builder and Prompt Template Guide specifies that when using Salesforce's standard foundation models, users can ground prompts on CRM and Data Cloud data without requiring fine-tuning or model deployment. The documentation notes: "No-code users can leverage standard foundation models with prompt templates grounded in Salesforce data, including CRM and Data Cloud, to summarize records, highlight insights, and prepare agents for customer engagements." This approach allows the sales operations team to automatically summarize customer data (purchases, interests, and communications) without needing model customization.
NEW QUESTION # 281
Universal Containers wants to assign agents to improve department efficiency. Which configuration ensures the right tasks are handled by the right agents?
Answer: B
Explanation:
According to the AgentForce Product Overview and Deployment Guide, Salesforce recommends using purpose-built agents to maximize efficiency across departments. The documentation states:
"Each AgentForce agent type is optimized for a specific function - SDR Agent for sales development and lead nurturing, Service Agent for customer service and support cases, and Employee Agent for internal HR, IT, and productivity tasks." This separation ensures that each team benefits from a domain-specific agent equipped with the correct data access and actions.
NEW QUESTION # 282
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