hardMultiple Choice
MLA-C01 Practice Question: A machine learning engineer is setting up…
A machine learning engineer is setting up automated retraining for a model using SageMaker Pipelines. The pipeline should trigger when a data drift alert is received from Model Monitor. Which event source should the engineer use to initiate the pipeline?
⚠ Common exam trap
Many exam-takers confuse S3 event notifications (which are for object-level events) with the structured, high-level alerts emitted by Model Monitor, leading them to choose Option C instead of the correct EventBridge integration.
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
✓
Amazon CloudWatch Events (Amazon EventBridge) rule that captures Model Monitor outcome.
Amazon EventBridge (formerly CloudWatch Events) is the native AWS service for reacting to state changes in AWS resources. SageMaker Model Monitor publishes data drift alerts as events to EventBridge, so a rule can be configured to match those specific events and trigger the SageMaker Pipeline execution as a target. This provides a fully managed, event-driven architecture without polling or custom integrations.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon CloudWatch Events (Amazon EventBridge) rule that captures Model Monitor outcome.
Why this is correct
Model Monitor publishes drift outcomes to Amazon CloudWatch, which EventBridge captures as events. An EventBridge rule matching those Model Monitor outcome events can invoke the SageMaker Pipeline, satisfying the requirement to trigger retraining automatically when drift is detected.
- ✗
AWS Lambda function that polls CloudWatch logs.
Why it's wrong here
Polling CloudWatch logs adds latency and needs custom parsing to detect drift alerts, rather than reacting to the emitted event. EventBridge receives Model Monitor's drift alert events directly and starts the pipeline, which is the native trigger mechanism this scenario requires.
- ✗
S3 event notification on the monitoring output bucket.
Why it's wrong here
S3 event notifications fire on object creation, not on drift detection, so they cannot distinguish an alert from routine monitoring output. EventBridge consumes Model Monitor's published drift alert events and invokes the pipeline, which is the event source this scenario requires.
- ✗
SageMaker model monitor webhook.
Why it's wrong here
SageMaker Model Monitor has no webhook mechanism; it publishes drift results to CloudWatch metrics and emits CloudWatch Events, so nothing can POST to a pipeline. The tempting association is real-time alerting, yet webhooks suit third-party integrations that push HTTP callbacks, not AWS-native event routing.
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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.