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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 20% | - Prompt management and user roles - Prompt template creation: field generation, flex types - Prompt Builder usage and use cases - Grounding techniques and best practices |
| Topic 2: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding |
| Topic 3: AI Agents | 35% | - Topics and actions configuration - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack - Agent User security and permissions - Deterministic controls: filters and variables - Agent types: Service, Sales, Employee |
| Topic 4: Multi-Agent Interoperability | 5% | - Model Context Protocol (MCP) - Agent-to-agent communication - Agent API usage scenarios |
| Topic 5: Development Lifecycle | 15% | - Testing agents in Testing Center - Monitoring, adoption and optimization - Version control and maintenance - Deployment: sandbox to production |
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質問 # 281
An Agentforce is considering using a Field Generation prompt template type. What should the Agentforce Specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?
正解：A
解説：
Before creating a Field Generation prompt template in Agentforce, the Specialist must ensure that the target field is available on a Dynamic Form-enabled Lightning page layout. Field Generation prompt templates work by embedding AI-generated suggestions directly into editable record fields on the Lightning record page. This functionality requires Dynamic Forms, which allow fields to be placed and managed as individual components on the Lightning page. Without Dynamic Forms enabled, the AI cannot surface suggestions directly into the field.Generation templates.
質問 # 282
When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?
正解：A
解説：
When a customer chat is initiated, Einstein Service Replies provides generative AI replies or draft emails based on recommended Knowledge articles. This feature uses the information from the Salesforce Knowledge base to generate responses that are relevant to the customer's query, improving the efficiency and accuracy of customer support interactions.
質問 # 283
After an agent selects a topic, what is an important factor the reasoning engine uses to select the action?
正解：A
解説：
The most crucial factor a reasoning engine uses to select an action after a topic is chosen is the priority given to each action (A). In advanced agent frameworks like AgentForce (simulated context), actions within a topic are typically not executed simply in an explicit, fixed order () unless there's no conditional logic. Instead, the reasoning engine evaluates all available actions and their associated pre-conditions (or triggers) and priorities. A priority score is often a numerical value assigned to an action that dictates its relative importance when multiple actions could potentially be executed simultaneously or when the agent must choose the 'best' action to address the current topic state. This prioritization ensures the agent handles the most critical or relevant tasks first, which is essential for efficient and goal-oriented behavior. The action's name and instructions () are descriptive for the developer but are not the primary selection criteria used by the runtime reasoning engine itself; it's the logic and priority that govern execution.
質問 # 284
An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account. Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?
正解：C
解説：
In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by using merge fields.
Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, the Agentforce Specialist needs to pull data from the default related list of Opportunities associated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.
質問 # 285
Universal Containers needs its sales reps to be able to only execute prompt templates. What should the company use to achieve this requirement?
正解：A
解説：
Salesforce Agentforce leverages Prompt Builder, a powerful tool that allows administrators to create and manage prompt templates, which are reusable frameworks for generating AI-driven responses. These templates can be invoked by users to perform specific tasks, such as generating sales emails or summarizing records, based on predefined instructions and grounded data. In this scenario, Universal Containers wants its sales reps to have the ability to only execute these prompt templates, meaning they should be able to run them but not create, edit, or manage them.
質問 # 286
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