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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types - Prompt management and user roles |
| Topic 2: Development Lifecycle | 15% | - Version control and maintenance - Deployment: sandbox to production - Testing agents in Testing Center - Monitoring, adoption and optimization |
| Topic 3: Data Cloud for Agentforce | 20% | - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Agentforce Data Library types |
| Topic 4: AI Agents | 35% | - Channel integration: digital experience, email, Slack - Agent types: Service, Sales, Employee - Agent User security and permissions - Deterministic controls: filters and variables - Topics and actions configuration - Agent architecture and reasoning engine |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP) |
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NEW QUESTION # 30
Universal Containers (UC) needs to capture and store detailed interaction data for all agents.
Which feature should help UC get a full view of the agent's behavior from start to finish, including reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses?
Answer: B
Explanation:
The AgentForce Observability and Diagnostics Guide details that AgentForce Session Tracing provides the most comprehensive visibility into agent operations. The documentation explains:
"Session Tracing captures the entire execution flow for each agent session - including reasoning engine decisions, executed actions, prompts, gateway inputs and outputs, error logs, and final agent responses - to provide an end-to-end view of agent behavior."
NEW QUESTION # 31
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 # 32
Universal Containers (UC) wants to ensure its compliance team can retrieve exact matches of policy clause numbers from a structured legal document library. Which search type should UC implement?
Answer: B
Explanation:
According to the AgentForce Search Optimization Guide, when the use case requires retrieving exact matches (such as policy clause numbers, legal identifiers, or invoice IDs) from structured data, the recommended approach is to use keyword search. The documentation specifies:
"Keyword search ensures deterministic retrieval of exact term matches from structured fields, preserving precision for identifiers, numeric values, and code references."
NEW QUESTION # 33
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: A
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 # 34
Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization. What should the Agentforce Specialist recommend?
Answer: A
Explanation:
To measure adoption and usability of Agents across the organization, Agentforce Analytics is the right tool. It provides dashboards and reports that track how Agents are being used, which actions are triggered most often, and overall performance trends. This data helps organizations drive adoption by identifying gaps, monitoring usage, and demonstrating business value.
NEW QUESTION # 35
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