MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A team needs to deploy a new model version to production while minimizing risk. They want to route 5% of live traffic to the new model and 95% to the current model, and then gradually increase the new model's traffic. Which SageMaker deployment pattern should they 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
✓
Canary deployment using production variants
Canary deployment uses production variants with weighted traffic allocation. By setting the new model variant to 5% and the current to 95%, and later adjusting weights, the team can gradually shift traffic. Blue/green is a full switch, and shadow testing duplicates traffic without affecting live responses.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Shadow testing
Why it's wrong here
Shadow testing duplicates traffic to a shadow endpoint but does not route live traffic; it's for validation without impact.
- ✗
Blue/green deployment
Why it's wrong here
Blue/green switches all traffic at once, not gradual.
- ✗
A/B testing with production variants
Why it's wrong here
A/B testing is a statistical methodology that often uses canary deployment, but the pattern for gradual traffic shift is specifically canary.
- ✓
Canary deployment using production variants
Why this is correct
Canary deployment with production variants allows gradual traffic shift from 5% to 100%.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-C01 practice question is part of Courseiva's free Amazon Web Services 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 MLA-C01 exam.