Salesforce Agentforce-Specialist Exam With Confidence Using Practice Dumps

Comprehensive and Detailed Explanation From Exact Extract:

Again referencing the template types: Field Generation template is intended for populating a specific field on a record. Since UC wants to populate the Description field on the Account object, that matches exactly. “Flex” is for more complex multi‑object scenarios; “Sales Email” is for email generation. So the correct answer is C.

When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field. Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.

Option B is incorrect because person accounts do not limit the availability of merge fields for the Account object.

Option C is irrelevant since even if no related lists are available at runtime, the prompt can still generate based on other available data fields.

For more information, refer to Salesforce documentation on supported fields and limitations in Prompt Builder.

The AgentForce Reasoning Engine Guide explains that the engine relies primarily on the Classification Description and Scope fields to determine which topic best matches the user’s intent. The documentation notes: “Classification Description defines the purpose and context of a topic, while Scope provides the operational boundaries for when and how that topic should be triggered. Together, they guide the LLM in selecting the appropriate topic at runtime.”

Option A includes “Topic Name,” which is used mainly for administrative organization, not reasoning. Option B omits the Classification Description, which contains the intent signal critical for matching. Therefore, Option C is correct since both the Classification Description and Scope are essential for topic selection by the reasoning engine.

References (AgentForce Documents / Study Guide):

AgentForce Reasoning Engine Overview: “How Topics Are Selected”

AgentForce Builder Guide: “Role of Classification Description and Scope in Topic Selection”

AgentForce Study Guide: “Optimizing Topic Matching Logic”