AI-201 · Question #198
AI-201 Question #198: Real Exam Question with Answer & Explanation
The correct answer is C: Data preparation Involves loading, chunking, vectorizing, and storing content in a search-. Why is "Loading, Chunking, Vectorizing, and Storing" the correct answer? Agentforce AI-powered search and retriever indexing requires data to be structured and optimized for retrieval. The Data Cloud preparation process involves: Key Steps in the Data Preparation Process for Agen
Question
In the context of retriever and search indexes, what best describes the data preparation process in Data Cloud?
Options
- AData preparation focuses on real-time data ingestion and dynamic indexing to generate dynamic
- BData preparation entails aggregating, normalizing, and encoding structured datasets to ensure
- CData preparation Involves loading, chunking, vectorizing, and storing content in a search-
Explanation
Why is "Loading, Chunking, Vectorizing, and Storing" the correct answer? Agentforce AI-powered search and retriever indexing requires data to be structured and optimized for retrieval. The Data Cloud preparation process involves: Key Steps in the Data Preparation Process for Agentforce: Raw text from documents, emails, chat transcripts, and Knowledge articles is loaded into Data Chunking (Breaking Text into Small Parts) AI divides long-form text into retrievable chunks to improve response accuracy. Example: A 1000-word article might be split into multiple indexed paragraphs. Vectorization (Transforming Text for AI Retrieval) Each text chunk is converted into numerical vector embeddings. This enables faster AI-powered searches based on semantic meaning, not just keywords. Storing in a Vector Database The processed data is stored in a search-optimized vector format. Agentforce AI retrievers use this data to find relevant responses quickly.
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