AI-200 Data Management Services And Vector Search Practice Question
You are designing a data ingestion pipeline that generates embeddings using Azure OpenAI and stores them in Azure AI Search. Which THREE components are required in the Azure AI Search index definition to support integrated vectorization? Choose three.
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
✓
Vectorizer definition referencing the Azure OpenAI connection
Integrated vectorization in Azure AI Search requires a vectorizer definition, an algorithm configuration, and vector fields configured in the index schema.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A dedicated Azure Blob Storage container data source
Why it's wrong here
While indexers can use Blob Storage, the index definition itself requires vectorizers, algorithms, and vector fields rather than a data source object (which belongs to the indexer definition).
- ✗
A custom Lucene similarity scoring profile
Why it's wrong here
Lucene scoring profiles are for lexical search, not integrated vectorization.
- ✓
Vectorizer definition referencing the Azure OpenAI connection
Why this is correct
The vectorizer specifies how text is converted to vectors by connecting to Azure OpenAI.
- ✓
Vector fields specifying dimensions, similarity metric, and vectorizer name
Why this is correct
Vector fields store the embeddings and link to the vectorizer and algorithm configuration.
- ✓
Algorithm configuration defining the ANN search method (e.g., HNSW)
Why this is correct
An algorithm configuration is required to specify how the vector field is indexed and searched.
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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-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.