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| Section | Weight | Objectives |
|---|---|---|
| Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
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NEW QUESTION # 86
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?
Answer: B
Explanation:
Universal Containers (UC) has a standard email prompt template (likely a prebuilt template provided by Salesforce) that isn't meeting their needs, and they want to customize it while retaining its original content as a starting point. Let's assess the options based on Agentforce prompt template management practices.
NEW QUESTION # 87
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding. What should UC consider when using standard Service AI Grounding?
Answer: A
Explanation:
Service AI Grounding retrieves data from Salesforce objects to ground AI-generated responses.
Key considerations:
NEW QUESTION # 88
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: A
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 # 89
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge. Which step should UC take to meet this requirement?
Answer: A
Explanation:
To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI-generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge.
Service Replies generates responses automatically.
Service AI Grounding ensures that the AI is using relevant case data.
Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from the LLM or Salesforce Knowledge.
NEW QUESTION # 90
Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?
Answer: C
Explanation:
Universal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
Field Generation Prompt Template
Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.
NEW QUESTION # 91
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