AI-102 Implement computer vision solutions Practice Question
You are troubleshooting an Azure AI Vision application that calls the Analyze Image API. The application suddenly returns HTTP 403 errors. The API key and endpoint have not changed. What is the most likely cause?
⚠ Common exam trap
Candidates often confuse HTTP 403 with quota exhaustion (which can also return 403 but with a distinct error code) or throttling (429), but the question's emphasis on unchanged key and endpoint leads to the correct answer that the key was regenerated or the resource region changed, as these are silent changes that break authentication without any client-side modification.
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
✓
The API key has been regenerated or the resource is in a different region.
HTTP 403 errors indicate the server understood the request but refused to authorize it. Since the API key and endpoint have not changed from the client's perspective, the most likely cause is that the key was regenerated in the Azure portal or the resource was moved to a different region, invalidating the previously valid key. This is a common authorization failure distinct from quota or throttling issues.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The image file size exceeds the maximum limit.
Why it's wrong here
File size limits cause 400, not 403.
- ✓
The API key has been regenerated or the resource is in a different region.
Why this is correct
Key change or region mismatch causes 403.
- ✗
The service is throttling requests due to high volume.
Why it's wrong here
Throttling returns 429.
- ✗
The API call quota has been exceeded.
Why it's wrong here
Exceeded quota returns 429.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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