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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
| Topic 2: Reasoning Engine & AI Actions | - Workflow mastery
| |
| Topic 3: Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Topic 4: Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
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NEW QUESTION # 16
Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?
Answer: C
Explanation:
Universal Containers (UC) has generative AI-enabled fields that users can access in the desktop experience.
The Agentforce Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.
NEW QUESTION # 17
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: B
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 # 18
Universal Containers (UC) wants to deploy an Agentforce Service Agent to support customers via a web experience. UC uses a Digital Experience site and wants to enable messaging for logged- in users. The customer needs to pass the membership number to the agent for which a pre-chat variable is available. What is a required step to connect the agent to the Digital Experience site using Messaging for In-App and Web?
Answer: B
Explanation:
The required step to route any messaging session, including those from Messaging for In-App and Web (MIAW) on a Digital Experience site, to an Agentforce Service Agent is to Create an Omni-Channel flow that routes messages to the agent (B).
Messaging for In-App and Web utilizes Omni-Channel Routing to direct incoming work items (which are created as MessagingSession records) to the correct destination. When setting up the Messaging Channel for a Digital Experience site, the Routing Type must be configured to use a Flow. This Flow is an Omni-Channel Flow that explicitly contains a Route Work action element configured to route to the Agentforce Service Agent.
Crucially, this Omni-Channel Flow also handles the passing of the pre-chat variables (like the membership number). The pre-chat variables are mapped in the Messaging Channel settings to input variables in the Omni-Channel Flow. The Flow can then use this membership number to perform a record lookup, enrich the context of the conversation (e.g., by updating the related MessagingSession record), and then successfully route the session to the Agentforce Service Agent using the Route To: Bot action, which targets the specific Agentforce Agent.
NEW QUESTION # 19
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?
Answer: B
Explanation:
Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus, Service Replies is the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.
NEW QUESTION # 20
Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?
Answer: A
Explanation:
UC's support assistant uses a Data Cloud search index for grounding, but irrelevant results from outdated product versions are an issue.
NEW QUESTION # 21
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