Explanation

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.