AI-200 Data Management Services And Vector Search Practice Question
When configuring an Azure AI Search vectorizer for integrated vectorization, which TWO parameters or connections must be specified to link to an Azure OpenAI deployment? (Choose two)
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
✓
Model name (e.g., text-embedding-ada-002)
Integrated vectorization requires configuring the model name (e.g., text-embedding-ada-002) and the resource URL/authentication details of the Azure OpenAI service.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Model name (e.g., text-embedding-ada-002)
Why this is correct
The model name specifies which Azure OpenAI model generates the embeddings.
- ✗
SQL Server connection string
Why it's wrong here
SQL Server is not part of the vectorizer configuration.
- ✗
Cosmos DB container database name
Why it's wrong here
Cosmos DB is not required for an Azure OpenAI vectorizer configuration.
- ✗
Blob storage SAS token expiration time
Why it's wrong here
SAS token expiration is not a vectorizer setting.
- ✓
Resource URL and authentication credentials (or managed identity)
Why this is correct
The search service needs to connect to the Azure OpenAI endpoint securely.
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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.