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| Section | Weight | Objectives |
|---|---|---|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Prompt Engineering | 20% | - Grounding techniques
|
| Governance & Observability | 10% | - AI governance
|
| AI Agents | 35% | - Agent behavior configuration
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
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NEW QUESTION # 131
An Agentforce Specialist is creating a custom agent action. The topic is selected correctly, but the action is not. Which setting should the Agentforce Specialist test and iterate on to ensure the action performs as expected?
Answer: A
Explanation:
Per the AgentForce Custom Action Development Guide, if a topic is correctly triggered but the wrong action is executed, the issue typically lies in action instructions. The documentation notes:
"Action instructions provide the LLM with explicit guidance on when and how to use a given action. Poorly written or ambiguous instructions can cause the reasoning engine to select an incorrect action, even within the right topic."
NEW QUESTION # 132
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?
Answer: C
Explanation:
Universal Containers (UC) has a standard email prompt template (likely a prebuilt template provided by Salesforce) that isn't meeting their needs, and they want to customize it while retaining its original content as a starting point. Let's assess the options based on Agentforce prompt template management practices.
NEW QUESTION # 133
Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting. Which business requirement would lead An Agentforce to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?
Answer: B
Explanation:
Einstein Studio (Model Builder) allows organizations to connect and utilize external foundational models while fine-tuning them with company-specific data. This capability is particularly suited to businesses like Universal Containers (UC) that require customization of foundational models to better align with their unique data and use cases.
NEW QUESTION # 134
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 # 135
Universal Containers (UC) wants to enable its sales team to use Al to suggest recommended products from its catalog. Which type of prompt template should UC use?
Answer: C
Explanation:
Universal Containers (UC) wants to enable its sales team to leverage AI to recommend products from its catalog. The best option for this use case is a Flex prompt template.
A Flex prompt template is designed to provide flexible, customizable AI-driven recommendations or responses based on specific data points, such as product information, customer needs, or sales history. This template type allows the AI to consider various inputs and parameters, making it ideal for generating product recommendations dynamically.
NEW QUESTION # 136
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