Question 91 of 1,000
ML Solution Monitoring, Maintenance and SecurityhardMultiple ChoiceObjective-mapped

How to Use EventBridge to Start a SageMaker Pipeline When Data Drift is Detected

This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance and security. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

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?

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.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 violation events to EventBridge, which can trigger a pipeline execution reliably.

    Related concept

    Read the scenario before looking for a memorised answer.

  • AWS Lambda function that polls CloudWatch logs.

    Why it's wrong here

    Polling is inefficient and introduces latency; event-driven approach is preferred.

  • S3 event notification on the monitoring output bucket.

    Why it's wrong here

    S3 events fire when new monitoring results are written, but they do not indicate drift severity; over-triggering could occur.

  • SageMaker model monitor webhook.

    Why it's wrong here

    SageMaker Model Monitor does not provide a webhook mechanism.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates 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.

Detailed technical explanation

How to think about this question

Under the hood, SageMaker Model Monitor uses the `aws.sagemaker.model-monitor` namespace in EventBridge, emitting events like `DataDriftAlert` with a severity level. The EventBridge rule can filter on `detail-type` and `detail.severity` to only trigger the pipeline for significant drifts. This decouples monitoring from retraining and allows multiple downstream actions (e.g., SNS notifications, Step Functions) from a single alert.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

ML Solution Monitoring, Maintenance and Security — This question tests ML Solution Monitoring, Maintenance and Security — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: 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.

What should I do if I get this MLA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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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.