Salesforce Agentforce-Specialist Exam With Confidence Using Practice Dumps

Why is "A data stream, a search index, and a retriever" the correct answer?

When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.

Key Components Created in Data Cloud:

Data Stream

This acts as the pipeline that brings data into Data Cloud.

It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.

Search Index

After ingestion, data is indexed for efficient search and retrieval.

This allows AI models to perform structured queries and retrieve relevant data faster.

Retriever

The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.

It ensures that AI-generated responses are grounded in structured, reliable data.

Why Not the Other Options?

❌ A. A data pipeline, an indexing engine, and a query processor

Incorrect because Data Cloud does not use a query processor in the same way as traditional databases.

Instead, retrievers handle AI-powered data searches.

❌ B. A data connector, an analytics dashboard, and a workflow rule

Incorrect because these components are not automatically created when setting up a Data Library.

Analytics dashboards and workflow rules are separate tools used for reporting and automation.

Agentforce Specialist References

Salesforce AI Specialist Material confirms that a Data Stream, Search Index, and Retriever are created automatically in Data Cloud when configuring a Data Library​.

UC is integrating an Agentforce agent with Omni-Channel Flow to route work. Let’s identify the correct element.

Option A: Route Work ActionThe "Route Work" action in Omni-Channel Flow assigns work items (e.g., cases, chats) to agents or queues based on routing rules. When connecting to an Agentforce agent, this action links the flow to the agent’s queue or presence, enabling interaction. This is the standard element for agent integration, making it the correct answer.

Option B: AssignmentThere’s no "Assignment" element in Flow Builder for Omni-Channel. Assignment rules exist separately, but within flows, routing is handled by "Route Work," making this incorrect.

Option C: DecisionThe "Decision" element branches logic, not connects to agents. It’s a control structure, not a routing mechanism, making it incorrect.

Why Option A is Correct:

"Route Work" is the designated Omni-Channel Flow action for connecting to agents, including Agentforce agents, per Salesforce documentation.

In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs: Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety, compliance, and auditability. The Resolution text specifically refers to the full text that is sent to the Trust Layer for processing, monitoring, and governance (Option A). This includes the constructed prompt (with grounding data, instructions, and variables) as it’s submitted to the large language model (LLM), along with any Trust Layer interventions (e.g., masking, filtering) applied before or after LLM processing. It’s a comprehensive view of the input/output flow that the Trust Layer captures for auditing and compliance purposes.

Option B: The "Response" output in the preview shows the LLM’s generated text based on the sample record, not the Resolution. Resolution encompasses more than just the LLM response—it includes the entire payload sent to the Trust Layer.

Option C: While the Trust Layer does mask sensitive data (e.g., PII) as part of its guardrails, the Resolution text doesn’t specifically isolate "which sensitive data is masked." Instead, it shows the full text, including any masked portions, as processed by the Trust Layer—not a separate masking log.

Option A: This is correct, as Resolution provides a holistic view of the text sent to the Trust Layer, aligning with its role in monitoring and auditing the AI interaction.

Thus, Option A accurately describes the purpose of the Resolution text in the prompt template preview.

Salesforce Agentforce Documentation: "Preview Prompt Templates" (Salesforce Help: &type=5)

Salesforce Einstein Trust Layer Documentation: "Trust Layer Outputs" &type=5)