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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Development Lifecycle | 15% | - Deployment: sandbox to production - Monitoring, adoption and optimization - Version control and maintenance - Testing agents in Testing Center |
| Topic 2: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP) |
| Topic 3: AI Agents | 35% | - Channel integration: digital experience, email, Slack - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Topics and actions configuration - Agent User security and permissions |
| Topic 4: Data Cloud for Agentforce | 20% | - Unstructured data processing: chunking, indexing - Agentforce Data Library types - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid |
| Topic 5: Prompt Engineering | 20% | - Grounding techniques and best practices - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Prompt management and user roles |
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NEW QUESTION # 309
What is the primary advantage of creating an individual retriever instead of the default retriever?
Answer: C
Explanation:
The AgentForce Data Cloud and Retrieval Configuration Guide explains that individual retrievers offer customization flexibility beyond the default retriever. The guide states: "Individual retrievers allow specialists to define filters, select specific fields for retrieval, and configure result limits, providing fine-grained control over data recall and relevance."
NEW QUESTION # 310
An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the AX Specialist to achieve this?
Answer: B
Explanation:
The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the Agentforce Specialist to:
Identify Common Queries: Surface frequently asked questions or recurring issues.
Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.
NEW QUESTION # 311
Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Agent to improve its processes. What is a key reason for implementing Agent?
Answer: A
Explanation:
The key reason for implementing Agent is its ability to streamline workflows and automate repetitive tasks. By leveraging AI, Agent can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
NEW QUESTION # 312
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: A
Explanation:
UC wants to restrict the "Answer Questions with Knowledge" action to a subset of Knowledge articles.
NEW QUESTION # 313
Universal Containers (UC) wants to enable its sales team to use Al to suggest recommended products from its catalog. Which type of prompt template should UC use?
Answer: A
Explanation:
Universal Containers (UC) wants to enable its sales team to leverage AI to recommend products from its catalog. The best option for this use case is a Flex prompt template.
A Flex prompt template is designed to provide flexible, customizable AI-driven recommendations or responses based on specific data points, such as product information, customer needs, or sales history. This template type allows the AI to consider various inputs and parameters, making it ideal for generating product recommendations dynamically.
NEW QUESTION # 314
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