AI-103 Computer Vision Practice Question
When designing an automated document processing pipeline using Azure AI Vision Read API, which THREE architectural considerations should you account for? (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
✓
Ensure document files adhere to supported page count and file size limits.
Read API is asynchronous, returns HTTP 202, requires polling the Operation-Location URL, and processes documents page-by-page or up to supported multi-page limits.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Ensure document files adhere to supported page count and file size limits.
Why this is correct
Exceeding size or page limits results in validation errors.
- ✗
Expect synchronous JSON responses containing all extracted text directly on the initial POST call.
Why it's wrong here
Read is asynchronous and returns 202 Accepted, not immediate synchronous text payloads on the initial POST.
- ✓
Handle asynchronous polling using the Operation-Location response header.
Why this is correct
Read is an asynchronous operation requiring polling.
- ✗
Configure the API to store extracted text permanently in local memory without pagination.
Why it's wrong here
The cloud service does not manage local client memory storage.
- ✓
Implement retry logic with exponential backoff for HTTP 429 rate limit responses.
Why this is correct
Rate limiting handling is essential for high-throughput production pipelines.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
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