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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance & Observability | 10% | - AI governance
|
| Topic 2: AI Agents | 35% | - Agent setup and orchestration
|
| Topic 3: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Topic 4: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Topic 5: Prompt Engineering | 20% | - Prompt Builder usage
|
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NEW QUESTION # 201
In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?
Answer: C
Explanation:
In Agentforce, a Knowledge-based data library (e.g., via Salesforce Knowledge or Data Cloud grounding) uses identifying fields and content fields to support AI responses.
NEW QUESTION # 202
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?
Answer: C
Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce's Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
NEW QUESTION # 203
What is the primary function of the planner service in the Agent system?
Answer: C
Explanation:
The primary function of the planner service in the Agent system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Agent should perform based on user input.
NEW QUESTION # 204
An Agentforce is considering using a Field Generation prompt template type. What should the Agentforce Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?
Answer: C
Explanation:
Before creating a Field Generation prompt template in Agentforce, the Specialist must ensure that the target field is available on a Dynamic Form-enabled Lightning page layout. Field Generation prompt templates work by embedding AI-generated suggestions directly into editable record fields on the Lightning record page. This functionality requires Dynamic Forms, which allow fields to be placed and managed as individual components on the Lightning page. Without Dynamic Forms enabled, the AI cannot surface suggestions directly into the field.Generation templates.
NEW QUESTION # 205
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
Answer: B
Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the Agentforce Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
NEW QUESTION # 206
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