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| Section | Weight | Objectives |
|---|---|---|
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Prompt Engineering | 30% | - Agentforce AI Setup & Configuration
|
| Einstein Trust Layer & Security | - Trust Layer & Security Features
| |
| Reasoning Engine & AI Actions | - Workflow mastery
|
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NEW QUESTION # 282
Universal Containers (UC) wants to limit an agent's access to Knowledge articles while deploying the "Answer Questions with Knowledge" action. How should UC achieve this?
Answer: B
Explanation:
UC wants to restrict the "Answer Questions with Knowledge" action to a subset of Knowledge articles.
NEW QUESTION # 283
Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases. Which feature should the Agentforce Specialist set up to enable UC's sales team?
Answer: B
Explanation:
To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the Agentforce Specialist should set up Call Insights.
Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.
Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.
Call Explorer is a tool for navigating through call data but does not focus on automatic insights.
NEW QUESTION # 284
For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?
Answer: A
Explanation:
In Salesforce Agentforce, a Data Library is a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files are indexed to make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs. Salesforce Agentforce integrates tightly with Data Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud's vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.
NEW QUESTION # 285
Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?
Answer: A
Explanation:
According to the AgentForce Data Cloud Search Indexing Guide and RAG Optimization Framework, a hybrid search index combines both keyword-based (lexical) and vector-based (semantic) search capabilities. This dual-mode retrieval enables AgentForce to interpret user intent while still honoring exact keyword matches.
In many enterprise scenarios, queries contain a mixture of specific terms (e.g., "contract ID
54321") and semantic intent (e.g., "renew my subscription"). A purely vector search might overlook exact keywords, while a keyword-only search might miss semantically relevant results.
Hybrid indexing ensures that both types of retrieval are available simultaneously - providing the best balance of precision and contextual understanding.
NEW QUESTION # 286
Cloud Kicks (CK) is launching a new partner portal on Experience Cloud, CK wants to provide partners with an agent that can answer questions about product specifications from the knowledge base and allow them to submit a new Lead for a potential customer they've identified.
The agent must be accessible only to authenticated partner users on the portal. Which agent type is required to meet this scenario?
Answer: C
Explanation:
The required agent type is the Service Agent (C). The core function described-answering questions from the knowledge base-is the primary task of a Service Agent, which is designed for self-service support and knowledge article retrieval. Although the requirement also includes the ability to submit a new Lead, Service Agent models are highly configurable to include custom actions, such as a "Create Lead" action, using Agentforce Builder. Furthermore, the Service Agent type is intended to be deployed to external-facing Experience Cloud sites to provide support to external authenticated users, such as partners.
NEW QUESTION # 287
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