AI-103 Plan And Manage AN Azure AI Solution Practice Question
Your organization is implementing a model versioning and rollout strategy for Azure OpenAI deployments. Which TWO practices ensure safe deployment and quick rollback capabilities? Each correct answer presents part of the solution.
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
✓
Deploy new model versions with distinct deployment names alongside existing versions.
Using unique deployment names and traffic splitting ensures safe rollouts and rollbacks.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Delete the entire Azure AI resource group prior to every model update.
Why it's wrong here
Deleting resource groups destroys infrastructure and causes complete service disruption.
- ✗
Overwrite existing model weights in place without changing deployment names.
Why it's wrong here
Overwriting models in place causes abrupt downtime and risky breaking changes.
- ✓
Deploy new model versions with distinct deployment names alongside existing versions.
Why this is correct
Distinct deployment names allow running multiple versions simultaneously for testing.
- ✓
Configure traffic splitting weights to canary test new models with a small percentage of users before full rollout.
Why this is correct
Traffic splitting allows gradual rollout and rapid fallback if errors occur.
- ✗
Hardcode model version numbers directly inside immutable compiled client binaries.
Why it's wrong here
Hardcoding versions in binaries prevents dynamic runtime routing and traffic splitting.
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.