Data Management Services And Vector Search →hardMultiple ChoiceObjective-mapped

AI-200 Data Management Services And Vector Search Practice Question

You are configuring data ingestion into an Azure AI Search index using an Azure AI Search indexer. The source data resides in Azure Blob Storage and consists of PDF documents. You want to chunk the documents and generate embeddings during ingestion without writing custom orchestration code. Which feature should you configure?

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

✓

Integrated vectorization with built-in document splitting and vectorizer skillset configuration

Azure AI Search supports built-in chunking and vectorization capabilities within skillsets or integrated vectorization to parse, chunk, and embed documents automatically via indexers.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Azure Data Factory mapping data flows with vector transformations
Why it's wrong here
While ADF can process data, integrated vectorization is the native Azure AI Search feature for this task.
✗
A custom WebJob running LangChain
Why it's wrong here
A custom WebJob requires external custom code orchestration, whereas integrated vectorization is managed natively.
✗
Cosmos DB change feed triggers
Why it's wrong here
The source is Azure Blob Storage, not Cosmos DB, and change feed does not provide built-in PDF chunking.
✓
Integrated vectorization with built-in document splitting and vectorizer skillset configuration
Why this is correct
Integrated vectorization allows indexers to handle chunking and embedding generation natively.

Quick reference

Azure Blob Storage Tier Comparison

Tier	Storage Cost	Retrieval Cost	Latency	Use Case
Hot	Highest	Lowest	Immediate	Active data, frequent reads
Cool	Lower	Higher	Immediate	Data accessed < once / month
Cold	Lower still	Higher	Immediate	Data accessed < once / quarter
Archive	Lowest	Highest + rehydration delay	Hours	Long-term compliance retention

About these practice questions

This AI-200 question is part of Courseiva's 503-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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

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This AI-200 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-200 exam.