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| Section | Weight | Objectives |
|---|---|---|
| Prompt Engineering | 20% | - Prompt Builder usage
|
| Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Governance & Observability | 10% | - AI governance
|
| AI Agents | 35% | - Agent setup and orchestration
|
| Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
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NEW QUESTION # 84
An Agentforce Specialist is building a Flex prompt template. Which best practice should the Agentforce Specialist follow when creating the Flex prompt template?
Answer: C
Explanation:
In the AgentForce Flex Prompt Design Guide, the recommended best practice for Flex prompt templates is to ensure that the large language model (LLM) is provided with clear contextual information and a defined role (e.g., sales rep, support agent, concierge). Flex prompts are intentionally open-ended and adaptable, enabling them to handle dynamic and conversational use cases, provided they are guided with sufficient context and role clarity.
By setting a role and including detailed contextual cues, the LLM can tailor tone, content, and reasoning appropriately while maintaining response accuracy.
NEW QUESTION # 85
Coral Cloud Resorts needs to ensure its booking agent executes actions in a specific sequence:
first retrieve available sessions, then verify customer eligibility, and finally create the booking. The current implementation allows the large language model (LLM) to execute these actions in any order, causing booking failures. Which approach should an AgentForce Specialist implement?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Orchestration and Action Sequencing Guidelines in the official documentation, deterministic execution order is best achieved by using custom state variables and conditional logic rather than relying solely on LLM reasoning or topic instructions.
AgentForce's orchestration framework allows developers to define variables that represent the successful completion of specific actions (e.g., "sessionsRetrieved," "eligibilityVerified," etc.).
Subsequent actions can then include conditional filters that only allow execution if prior steps have been completed. This approach ensures that actions execute in a strict, logical sequence - preventing the LLM from reordering steps arbitrarily.
NEW QUESTION # 86
Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must:
- Semantically search HR policies, compliance guidelines, and company
procedures.
- Ensure responses are grounded on published Knowledge.
- Allow Knowledge updates to be reflected immediately without manual
reconfiguration.
What should UC do to ensure the agent retrieves the right information?
Answer: B
Explanation:
UC requires an Agentforce Service Agent to deliver accurate, up-to-date policy and compliance info with specific criteria.
NEW QUESTION # 87
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. In the score of 1 indicate?
Answer: C
Explanation:
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators.
NEW QUESTION # 88
Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization. What should the Agentforce Specialist recommend?
Answer: C
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 # 89
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