hardMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A company uses SageMaker endpoint with production…
A company uses SageMaker endpoint with production variants for canary deployments. The team wants to gradually shift traffic from the old model variant (variant A) to the new model variant (variant B) over a period of 10 minutes. After the shift, if the new variant's error rate increases by more than 5%, they want to roll back automatically. Which solution meets these requirements with minimal manual intervention?
⚠ Common exam trap
Many candidates assume AWS CodeDeploy (Option D) can manage SageMaker endpoints because it supports canary deployments for other services, but SageMaker has its own native traffic shifting and rollback mechanisms that are not integrated with CodeDeploy.
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
✓
Use the SageMaker UpdateEndpoint API with a linear traffic shift from variant A to variant B over 10 minutes, and configure a CloudWatch alarm on the new variant's error rate that triggers a Lambda function to revert the traffic weights.
The SageMaker UpdateEndpoint API supports a linear traffic shift between production variants, allowing you to gradually route traffic from variant A to variant B over a specified time period (here, 10 minutes). By attaching a CloudWatch alarm on the new variant's error rate that triggers a Lambda function to revert the traffic weights, you achieve automatic rollback with minimal manual intervention when the error rate exceeds the 5% threshold.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS Cloud Map to register the new variant and perform a slow rollout.
Why it's wrong here
AWS Cloud Map is for service discovery, not for traffic shifting or rollback control.
- ✗
Deploy variant B as a separate endpoint and use Route 53 weighted routing to shift traffic.
Why it's wrong here
Route 53 cannot shift traffic based on error rates; it only distributes DNS requests. Also, managing two endpoints increases complexity.
- ✓
Use the SageMaker UpdateEndpoint API with a linear traffic shift from variant A to variant B over 10 minutes, and configure a CloudWatch alarm on the new variant's error rate that triggers a Lambda function to revert the traffic weights.
Why this is correct
This approach automates both the gradual shift and the rollback based on error rates.
- ✗
Use AWS CodeDeploy with a deployment group to shift traffic and automatically roll back if CloudWatch alarms trigger.
Why it's wrong here
AWS CodeDeploy does not natively support SageMaker endpoints; it is for EC2, Lambda, ECS.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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.