AI Specialist Agentforce-Specialist Exam Dumps

The correct answer is B. Flex prompt templates are designed for custom input patterns, and Salesforce Prompt Builder allows specialists to define resources for the template. When the business wants to add a PDF as another input, the right declarative action is to add a file input/resource in the prompt template configuration, then use that resource in the prompt body. Option A is wrong because reindexing is a retrieval/search-index activity, not the standard way to add an input resource to a Flex template. Option C is wasteful and incorrect because an existing Flex template does not need to be discarded merely to add another input. The important design point is that Flex templates support custom resources and file inputs, so the existing template can be extended rather than rebuilt.

When a custom Agent action is not being prioritized correctly by the planner service, the root cause is often missing or improperly defined action dependencies. The planner service determines the execution order of actions based on dependencies defined in the action instructions. To resolve this, the Agentforce Specialist must explicitly specify dependent actions using their API names in the custom action’s configuration. This ensures the planner understands the sequence in which actions must be executed to meet business logic requirements.

Salesforce documentation highlights that dependencies are critical for orchestrating workflows in Einstein Bots and Agentforce. For example, if Action B requires data from Action A, Action A’s API name must be listed as a dependency in Action B’s instructions. The Einstein Bot Developer Guide states that failing to define dependencies can lead to race conditions or incorrect execution order.

In contrast:

Profiles or custom permissions (B) control access to the action but do not influence execution order.

LLM model provider and version (C) determine the AI model used for processing but are unrelated to the planner’s sequencing logic.

The primary function of the planner service in the Agent system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Agent should perform based on user input.

The correct answer is B. Once unstructured content has been chunked, vectorized, and indexed in Data 360, the prompt template should use a retriever to search that indexed content and return the most relevant passages for grounding. A data lake object or data model object is part of the data architecture, but the prompt template does not directly use those objects as the retrieval mechanism for RAG. Salesforce documentation states that retrievers are used in prompt templates to search indexed Data 360 knowledge and return relevant information. Salesforce Trailhead also explains that the prompt template invokes the retriever, vectorizes the query, retrieves matching indexed content, and inserts that retrieved information into the prompt before it is sent to the LLM.