MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A team wants to deploy a new model using a canary deployment strategy on SageMaker. Which TWO configurations are necessary? (Choose 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
✓
Set the initial traffic distribution (e.g., 90% old, 10% new)
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.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a CloudWatch alarm to automatically rollback
Why it's wrong here
Automated rollback is possible but not strictly necessary for the deployment strategy itself.
- ✓
Set the initial traffic distribution (e.g., 90% old, 10% new)
Why this is correct
Initial weights define the canary traffic percentage.
- ✗
Enable data capture on the endpoint
Why it's wrong here
Data capture is for monitoring, not for traffic shifting.
- ✓
Create a new endpoint configuration with two production variants, each pointing to a different model
Why this is correct
Two variants are needed: the current model and the new model.
- ✗
Use SageMaker Model Registry to approve the new model
Why it's wrong here
Approval is a governance step but not a technical requirement for canary deployment.
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Senior Network & Security Engineer · founder of Courseiva
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