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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Prompt Builder usage
|
| Governance & Observability | 10% | - AI governance
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| AI Agents | 35% | - Agent behavior configuration
|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
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NEW QUESTION # 227
Universal Containers (UC) implements a custom retriever to improve the accuracy of AI- generated responses. UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?
Answer: B
Explanation:
In Salesforce Agentforce, a custom retriever is used to fetch relevant data (e.g., from Data Cloud's vector database or Salesforce records) to ground AI responses. UC's issue is that their retriever returns too many irrelevant results, reducing response accuracy. The best solution is to define filters (Option A) to refine the retriever's search criteria. Filters allow UC to specify conditions (e.g., "only retrieve documents from the `Policy' category" or "records created after a certain date") that narrow the dataset, ensuring the retriever returns only relevant results. This directly improves the precision of AI-generated responses by excluding extraneous data, addressing UC's problem effectively.
NEW QUESTION # 228
Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio. Which use case works for this scenario?
Answer: C
Explanation:
For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.
NEW QUESTION # 229
Universal Containers has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?
Answer: B
Explanation:
UC's agent answers questions using Knowledge articles, configured in Agent Builder.
NEW QUESTION # 230
A company wants to retrieve patient history details to augment the AI agent response and plans to use the Data Cloud search index feature. What is best practice when considering retrieval- augmented generation (RAG) for information that may contain personally identifiable information (PII)?
Answer: C
NEW QUESTION # 231
An Agentforce is setting up a new org and needs to ensure that users can create and execute prompt templates. The Agentforce Specialist is unsure which roles are necessary for these tasks.
Which permission sets should the Agentforce Specialist assign to users who need to create and execute prompt templates?
Answer: A
Explanation:
To effectively manage and use prompt templates, two distinct permission sets are required:
Prompt Template Manager: This permission set allows users to create prompt templates. It provides the necessary access to define templates, which can be shared and utilized across the organization.
Prompt Template User: This permission set is designed for users who need to execute the templates. It provides the ability to interact with pre-designed prompts and generate outcomes based on these templates.
The Data Cloud Admin permission set is not directly relevant to creating or executing prompt templates but is more focused on managing the Data Cloud.
NEW QUESTION # 232
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