AI-200 Data Management Services And Vector Search Practice Question
You are designing a data architecture on Azure where embeddings are generated offline by an Azure Databricks pipeline and stored in Azure AI Search. You want to minimize ingestion latency and optimize throughput when uploading millions of pre-computed vectors. Which client library API pattern should you use?
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
✓
Use SearchClient batch upload APIs with up to 1000 documents per batch
When uploading large batches of documents containing pre-computed vectors to Azure AI Search, using the SearchClient.UploadDocumentsBatch (or mergeOrUpload) method with batched payloads of up to 1000 documents maximizes throughput.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use SearchClient batch upload APIs with up to 1000 documents per batch
Why this is correct
Batching documents up to the 1000-document limit maximizes indexing throughput in Azure AI Search.
- ✗
Stream vectors directly through the Azure AI Search integrated vectorizer skillset
Why it's wrong here
Integrated vectorization is designed for raw text ingestion where the search service generates embeddings; pre-computed embeddings should be uploaded directly via batch APIs.
- ✗
Send documents one-by-one using synchronous CreateOrUpdate API calls
Why it's wrong here
Single-document synchronous calls create severe network overhead and throttle ingestion performance.
- ✗
Execute direct SQL INSERT statements against the underlying search partition nodes
Why it's wrong here
Direct SQL access to search nodes is not supported; interaction must occur through the Azure AI Search REST or SDK client APIs.
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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.