MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A company wants to deploy a new model using a canary deployment strategy on SageMaker. Which two actions should they take? (Select TWO.)
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
✓
Create a new endpoint with two production variants
To implement canary deployment, create two production variants (current and new) with initial traffic weights (e.g., 95% and 5%), then update the endpoint to gradually shift traffic. Using endpoint update with routing config adjusts traffic weights over time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Register both models in the Model Registry with 'Approved' status
Why it's wrong here
Registry approval is separate from deployment traffic management.
- ✗
Use SageMaker Model Monitor to compare model performance
Why it's wrong here
Model Monitor is for drift detection, not deployment pattern.
- ✓
Create a new endpoint with two production variants
Why this is correct
Two variants enable traffic splitting between current and new models.
- ✗
Enable data capture on the endpoint
Why it's wrong here
Data capture is for logging, not for traffic shifting.
- ✓
Set the initial traffic weights for the variants (e.g., 95% and 5%)
Why this is correct
Traffic weights define the percentage of requests each variant receives.
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Same concept, more angles
1 more way this is tested on MLA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A team wants to deploy a new model using a canary deployment strategy on SageMaker. Which TWO configurations are necessary? (Choose two.)
medium- A.Create a CloudWatch alarm to automatically rollback
- ✓ B.Set the initial traffic distribution (e.g., 90% old, 10% new)
- C.Enable data capture on the endpoint
- ✓ D.Create a new endpoint configuration with two production variants, each pointing to a different model
- E.Use SageMaker Model Registry to approve the new model
Why B: A canary deployment requires two production variants (old and new) with traffic distribution. Gradual traffic shifting can be achieved by updating the endpoint's variant weights over time.
JA
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.