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| Section | Weight | Objectives |
|---|---|---|
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
| Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Reasoning Engine & AI Actions | - Workflow mastery
|
>> AI-201 Valid Test Topics <<
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NEW QUESTION # 83
A Service Agent at Universal Containers (UC) is designed to help customers resolve issues by searching against knowledge articles. Knowledge articles have PDF attachments that add critical details. UC reports that the agent provides excellent summaries of the knowledge articles, but seems completely unaware of the PDF attachments. How should an Agentforce Specialist configure the Data Cloud search index to include the content of these attached files?
Answer: B
Explanation:
The AgentForce Data Cloud Indexing Guide clearly states that to include content from attached files such as PDFs in Knowledge articles, the correct configuration is to enable "Include Attachments" and map the ContentDocumentVersion unstructured data model object (UDMO).
The documentation specifies: "When indexing Knowledge or Case data, enabling the `Include Attachments' option allows the Data Cloud index to extract and embed content from linked ContentDocumentVersion records, ensuring the agent retrieves relevant information from attachments."
NEW QUESTION # 84
How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?
Answer: B
Explanation:
How Does Data Cloud Support "Answer Questions with Knowledge" in Agentforce?
The Answer Questions with Knowledge action in Agentforce leverages Salesforce Data Cloud to store, manage, and index Knowledge articles used for AI-powered responses.
Data Cloud as the Central Storage for Knowledge Articles
Indexed Knowledge articles are stored and retrieved in real-time from Data Cloud.
The AI system queries Data Cloud to fetch relevant articles when a service agent or customer needs an answer.
Ensuring Up-to-Date Responses
Data Cloud continuously updates Knowledge articles based on new insights, user interactions, and feedback.
The AI can pull the latest, most relevant information from the Knowledge base.
Enhancing AI-Driven Customer Service
AI-generated responses are grounded in real customer service interactions.
Service agents benefit from fast, context-aware answers, improving resolution times and customer satisfaction.
NEW QUESTION # 85
Universal Containers (UC) uses a file upload-based data library and custom prompt to support AI- driven training content. However, users report that the AI frequently returns outdated documents.
Which corrective action should UC implement to improve content relevancy?
Answer: B
Explanation:
UC's issue is that their file upload-based Data Library (where PDFs or documents are uploaded and indexed into Data Cloud's vector database) is returning outdated training content in AI responses. To improve relevancy by ensuring only current documents are retrieved, the most effective solution is to configure a custom retriever with a filter (Option B). In Agentforce, a custom retriever allows UC to define specific conditions-such as a filter on a "Last Modified Date" or similar timestamp field-to limit retrieval to documents updated within a recent period (e.g., last
6 months). This ensures the AI grounds its responses in the most current content, directly addressing the problem of outdated documents without requiring a complete overhaul of the data source.
NEW QUESTION # 86
An Agentforce wants to include data from the response of external service invocation (REST API callout) into the prompt template. How should the Agentforce Specialist meet this requirement?
Answer: C
Explanation:
An Agentforce wants to include data from the response of an external service invocation (REST API callout) into a prompt template. The goal is to incorporate dynamic data retrieved from an external API into the AI-generated content.
Solution:
Use External Service Record Merge Fields
External Service Integration:
Definition: External Services in Salesforce allow the integration of external REST APIs into Salesforce without custom code.
Registration: The external service must be registered in Salesforce, defining the API's schema and methods.
External Service Record Merge Fields:
Purpose: Enables the inclusion of data from external service responses directly into prompt templates using merge fields.
Functionality:
Dynamic Data Inclusion: Allows prompt templates to access and use data returned from REST API callouts.
Merge Fields Syntax: Use merge fields in the prompt template to reference specific data points from the API response.
Implementation Steps:
Register the External Service:
Use External Services to register the REST API in Salesforce.
Define the API's schema, including methods and data structures.
Create a Named Credential:
Configure authentication and endpoint details for the external API.
Use External Service in Flow:
Build a Flow that invokes the external service and captures the response.
Ensure the flow outputs the necessary data for use in the prompt template.
Configure the Prompt Template:
Use External Service Record merge fields in the prompt template to reference data from the flow's output.
Syntax Example: {{flowOutputVariable.fieldName}}
NEW QUESTION # 87
An Agentforce needs to create a Sales Email with a custom prompt template. They need to ground on the following data.
Opportunity Products Events near the customer Tone and voice examples
How should the Agentforce Specialist obtain related items?
Answer: B
Explanation:
To ground a sales email on Opportunity Products, Events near the customer, and Tone and voice examples, the Agentforce Specialist should use a prompt-initiated flow. This flow can dynamically fetch the necessary data from related records in Salesforce and ground the generative AI output with contextually accurate information.
NEW QUESTION # 88
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