MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A machine learning engineer needs to monitor a SageMaker endpoint for data drift and receive alerts when drift is detected. They want to use a fully managed AWS service to schedule the monitoring jobs and send notifications. Which AWS service should they use to orchestrate the monitoring schedule and trigger alerts?
⚠ Common exam trap
The trap here is thinking that a general-purpose service like EventBridge or CloudWatch is responsible for creating and scheduling the monitoring jobs, when actually SageMaker Model Monitor manages the schedule.
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
✓
SageMaker Model Monitor with a monitoring schedule
SageMaker Model Monitor provides the ability to create a monitoring schedule that runs on a recurring basis. It evaluates data against a baseline and publishes results to CloudWatch, where you can set alarms to send notifications. The other services can be part of the notification chain, but the core scheduling and drift detection is handled by SageMaker Model Monitor.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
SageMaker Model Monitor with a monitoring schedule
Why this is correct
SageMaker Model Monitor allows you to create a monitoring schedule that automatically runs monitoring jobs at specified intervals. It integrates with Amazon CloudWatch to emit metrics and can trigger alarms or notifications via Amazon SNS when violations are detected. This is the managed service designed for this purpose.
- ✗
AWS Lambda
Why it's wrong here
AWS Lambda can run code in response to events, but it does not provide a built-in scheduling mechanism for recurring monitoring jobs. You would need to pair it with Amazon EventBridge for scheduling, and it does not natively integrate with SageMaker Model Monitor to create monitoring schedules. It is not the managed service designed for this orchestration.
- ✗
Amazon CloudWatch
Why it's wrong here
CloudWatch receives metrics and logs from Model Monitor and can trigger alarms, but it does not create or schedule the monitoring jobs. It is a monitoring and observability service, not an orchestration service for SageMaker Model Monitor. The scheduling of monitoring jobs is handled by SageMaker itself.
- ✗
Amazon EventBridge
Why it's wrong here
Amazon EventBridge can schedule events and route them to targets, but it is not the service that creates and manages SageMaker Model Monitor schedules. You use EventBridge to react to Model Monitor execution events, but the monitoring schedule itself is created and managed within SageMaker. EventBridge alone does not orchestrate the monitoring jobs.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.