AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are monitoring your Azure OpenAI deployment in Azure AI Foundry. You notice an increase in HTTP 429 status codes. What does this error indicate?
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
✓
Rate limit or token quota exceeded (Too Many Requests)
HTTP 429 indicates that the request rate or token usage has exceeded your allocated quota or rate limit.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Internal server error at Microsoft
Why it's wrong here
Server errors return HTTP 500 status codes.
- ✗
Model deployment not found
Why it's wrong here
Model not found returns an HTTP 404 status code.
- ✓
Rate limit or token quota exceeded (Too Many Requests)
Why this is correct
HTTP 429 means you have hit your deployment's tokens-per-minute (TPM) or requests-per-minute (RPM) limits.
- ✗
Invalid API key authentication
Why it's wrong here
Invalid authentication returns an HTTP 401 status code.
About these practice questions
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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-103 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-103 exam.