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| Section | Weight | Objectives |
|---|---|---|
| Einstein Trust Layer & Security | - Data Masking
| |
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Reasoning Engine & AI Actions | - Workflow mastery
|
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NEW QUESTION # 24
What is one key purpose of action instructions when creating a custom agent action in Agentforce?
Answer: C
Explanation:
According to the AgentForce Action Design and Configuration Guide, action instructions serve as the directive text that informs the Reasoning Engine about when and how to invoke a specific action. The documentation states: "Action instructions guide the reasoning engine by describing the action's purpose, inputs, and when it should be selected. Clear, concise instructions improve the LLM's accuracy in mapping user intent to the correct action."
NEW QUESTION # 25
Universal Containers (UC) wants to deploy an Agentforce Service Agent to support customers via a web experience. UC uses a Digital Experience site and wants to enable messaging for logged- in users. The customer needs to pass the membership number to the agent for which a pre-chat variable is available. What is a required step to connect the agent to the Digital Experience site using Messaging for In-App and Web?
Answer: B
Explanation:
The required step to route any messaging session, including those from Messaging for In-App and Web (MIAW) on a Digital Experience site, to an Agentforce Service Agent is to Create an Omni-Channel flow that routes messages to the agent (B).
Messaging for In-App and Web utilizes Omni-Channel Routing to direct incoming work items (which are created as MessagingSession records) to the correct destination. When setting up the Messaging Channel for a Digital Experience site, the Routing Type must be configured to use a Flow. This Flow is an Omni-Channel Flow that explicitly contains a Route Work action element configured to route to the Agentforce Service Agent.
Crucially, this Omni-Channel Flow also handles the passing of the pre-chat variables (like the membership number). The pre-chat variables are mapped in the Messaging Channel settings to input variables in the Omni-Channel Flow. The Flow can then use this membership number to perform a record lookup, enrich the context of the conversation (e.g., by updating the related MessagingSession record), and then successfully route the session to the Agentforce Service Agent using the Route To: Bot action, which targets the specific Agentforce Agent.
NEW QUESTION # 26
What is a key benefit of the Agent-to-Agent (A2A) protocol?
Answer: C
Explanation:
The Agent-to-Agent (A2A) Protocol Overview describes A2A as a standardized framework for cross- vendor agent discovery and communication. The documentation specifies:
"A2A enables secure, interoperable communication between AI agents across vendors, platforms, and ecosystems, using standardized APIs and schemas for message exchange and capability discovery." This allows AgentForce agents to interact with external AI systems or partner agents while maintaining data governance and identity controls.
NEW QUESTION # 27
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 # 28
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
Answer: A
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
After ingestion, data is indexed for efficient search and retrieval.
This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
It ensures that AI-generated responses are grounded in structured, reliable data.
NEW QUESTION # 29
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