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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Agents | 35% | - Topics and actions configuration - Channel integration: digital experience, email, Slack - Agent User security and permissions - Agent architecture and reasoning engine - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee |
| Topic 2: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid |
| Topic 3: Multi-Agent Interoperability | 5% | - Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP) |
| Topic 4: Development Lifecycle | 15% | - Deployment: sandbox to production - Version control and maintenance - Testing agents in Testing Center - Monitoring, adoption and optimization |
| Topic 5: Prompt Engineering | 20% | - Prompt management and user roles - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt Builder usage and use cases |
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NEW QUESTION # 184
Based on the user utterance, 'Show me all the customers in New York', which standard Agent action will the planner service use?
Answer: A
Explanation:
Why is Query Records the Correct Answer?
In Agentforce, the Planner Service is responsible for interpreting user requests and selecting the appropriate Copilot Action to fulfill them. When a user issues a command like:
"Show me all the customers in New York", the system must retrieve a list of customers filtered by location.
The Query Records action is designed precisely for this purpose.
Key Features of Query Records in Agentforce:
Retrieves Data Based on Specific Field Values
This action fetches Salesforce records that match a set of criteria, such as customers located in New York.
Uses standard or custom object fields (e.g., BillingState = 'New York').
Works with Large Language Models (LLMs) and Copilot Actions
When a user asks for filtered data, Query Records is the default action assigned by the Planner Service.
Optimized for Structured Data Retrieval
Ensures AI retrieves relevant CRM records quickly and accurately.
NEW QUESTION # 185
Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AlI-enabled field icon next to the summary field.
What is the most likely cause of the issue?
Answer: B
Explanation:
In Salesforce, Generative AI capabilities are controlled by specific permission sets. To use features such as generating summaries with AI, users need to have the correct permission sets that allow access to these functionalities.
Generative AI User Permission Set: This is a key permission set required to enable the generative AI capabilities for a user. In this case, the missing Generative AI User permission set prevents the user from seeing the generative AI-enabled field icon. Without this permission, the generative AI feature in the Competitor Analysis custom object won't be accessible.
NEW QUESTION # 186
The Agentforce Specialist for Coral Cloud Resorts wants to create an agent that will automate the resolution of a large portion of guest complaints related to their vacation experiences. The agent will be able to offer upgrades, hotel credit, and other complimentary options. The agent will also be in charge of escalating the case to a human when a guest has suffered a major disruption (such as cancellation). Following Salesforce best practices, which type of agent should the Agentforce Specialist create?
Answer: A
Explanation:
The AgentForce for Service Implementation Guide confirms that when automating customer service and complaint resolution, the correct solution is a Service Agent. The documentation states:
"Service Agents handle customer inquiries, complaints, and issue resolution workflows. They can automate actions such as offering credits, applying upgrades, and escalating severe cases to human support." Flex prompt templates are recommended for these scenarios, as they allow contextual control and personalization based on the complaint details.
NEW QUESTION # 187
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?
Answer: C
Explanation:
The Einstein Trust Layer enforces data residency, masking, and compliance policies.
NEW QUESTION # 188
An Agentforce at Universal Containers is working on a prompt template to generate personalized emails for product demonstration requests from customers. It is important for the Al-generated email to adhere strictly to the guidelines, using only associated opportunity information, and to encourage the recipient to take the desired action. How should the Agentforce Specialist include these instructions on a new line in the prompt template?
Answer: B
Explanation:
In Salesforce prompt templates, instructions that guide how the Large Language Model (LLM) should generate content (in this case, personalized emails) can be included by surrounding the instruction text with triple quotes ("""). This formatting ensures that the LLM adheres to the specific instructions while generating the email content.
The use of triple quotes allows the AI to understand that the enclosed text is a directive for how to approach the task, such as limiting the content to associated opportunity information or encouraging a specific action from the recipient.
NEW QUESTION # 189
......
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