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| Section | Weight | Objectives |
|---|---|---|
| Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
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NEW QUESTION # 251
An Agentforce needs to enable the use of Sales Email prompt templates for the sales team. The Agentforce Specialist has already created the templates in Prompt Builder. According to best practices, which steps should the Agentforce Specialist take to ensure the sales team can use these templates?
Answer: A
Explanation:
To enable Sales Email prompt templates:
Permission Set: Assign the Prompt Template User permission set to the sales team to grant access to use pre-built templates.
Feature Activation: Enable Sales Emails in Salesforce Setup to activate the integration between prompt templates and email workflows.
NEW QUESTION # 252
Universal Containers plans to enhance the customer support team's productivity using AI. Which specific use case necessitates the use of Prompt Builder?
Answer: C
Explanation:
The use case that necessitates the use of Prompt Builder is creating a draft of a support bulletin post for new product patches. Prompt Builder allows the Agentforce Specialist to create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details.
NEW QUESTION # 253
An Agentforce is creating a custom action for Agentforce. Which setting should the a ensure the action performs as expected?
Answer: B
Explanation:
When creating a custom action for Einstein Bots in Salesforce (including Agentforce), Action Instructions are critical for defining how the bot processes and executes the action. These instructions guide the bot on the logic to follow, such as API calls, data transformations, or conditional steps. Testing and iterating on the instructions ensures the bot understands how to handle dynamic inputs, external integrations, and decision-making.
Salesforce documentation emphasizes that Action Instructions directly impact the bot's ability to execute workflows accurately. For example, poorly defined instructions may lead to incorrect API payloads or failure to parse responses. The Einstein Bot Developer Guide highlights that refining instructions is essential for aligning the bot's behavior with business requirements.
NEW QUESTION # 254
An Agentforce wants to ground a new prompt template with the User related list. What should the Agentforce Specialist consider?
Answer: B
Explanation:
Salesforce has restrictions on which objects and related lists can be used for grounding prompt templates. This is likely due to security and privacy concerns related to user data.
While it might seem intuitive to use the User related list to provide context to the LLM, Salesforce prevents this to ensure that sensitive user information is not inadvertently exposed or misused.
Therefore, the Agentforce Specialist needs to explore alternative ways to incorporate the necessary user information into the prompt template, perhaps by using other related objects or fields that are supported.
NEW QUESTION # 255
Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data. Which audit data is available using the Einstein Trust Layer?
Answer: A
Explanation:
Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information about masked data-which ensures sensitive information is not exposed-and the toxicity score, which evaluates the generated content for inappropriate or harmful language.
NEW QUESTION # 256
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