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| Section | Weight | Objectives |
|---|---|---|
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Einstein Trust Layer & Security | - Data Masking
| |
| Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
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NEW QUESTION # 298
Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?
Answer: C
Explanation:
Universal Containers (UC) wants to build a Flex prompt template that uses data returned by a Flow.
"Flex Prompt Templates" allow admins and Agentforce Specialists to incorporate external or dynamic data into generative AI prompts.
Why "Add Flow Instructions" Is Needed
Passing Flow Data into Prompt Templates: When configuring the prompt, you must specify how data from the running Flow is passed into the Flex template. The designated element for that is typically "Flow Instructions," which map the Flow outputs to the prompt.
NEW QUESTION # 299
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the Agentforce Specialist recommend?
Answer: C
Explanation:
To improve the productivity of the service center, the Agentforce Specialist should recommend the Service Replies and Case Summaries features.
Service Replies helps agents by automatically generating suggested responses to customer inquiries, reducing response time and improving efficiency.
Case Summaries provide a quick overview of case details, allowing agents to get up to speed faster on customer issues.
Work Summaries are not as relevant for direct customer service operations, and Sales Summaries are focused on sales processes, not service center productivity.
NEW QUESTION # 300
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
Answer: C
Explanation:
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
NEW QUESTION # 301
Which action should an admin take if an Agentforce agent consistently fails on edge cases?
Answer: A
Explanation:
Fallbacks and escalation paths ensure reliability when agents encounter edge cases.
NEW QUESTION # 302
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the Agentforce Specialist investigate as the root cause?
Answer: B
Explanation:
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
Review Action Instructions: Ensure each custom action has distinct, context-specific instructions.
For example:
Action 1: "Summarize quarterly sales by region."
Action 2: "Generate a product-wise sales breakdown for the current fiscal year." Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
NEW QUESTION # 303
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