AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are automating document ingestion for a RAG pipeline. Which feature allows you to automatically split large documents into smaller chunks during indexing?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Indexers with Skillsets
Azure AI Search indexers support skillsets for splitting and processing documents.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Prompt Flow Vector Store Lookup
Why it's wrong here
This is for retrieval, not data preparation.
- ✗
Model Fine-tuning
Why it's wrong here
Fine-tuning is for training, not ingestion.
- ✓
Indexers with Skillsets
Why this is correct
Skillsets allow for text splitting and enrichment.
- ✗
Vector Embeddings API
Why it's wrong here
Embeddings convert text to vectors, they don't split documents.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.