easyMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A data scientist trained a model using SageMaker…
A data scientist trained a model using SageMaker and wants to automate the retraining process when new data becomes available. Which AWS service is best suited to trigger a SageMaker training job based on an S3 event?
⚠ Common exam trap
A common mix-up: candidates confuse scheduled triggers (Step Functions) with event-driven triggers, overlooking that EventBridge is the native AWS service for reacting to S3 events in real time without polling or custom scripts.
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 EventBridge with a rule matching S3 object creation.
Amazon EventBridge is the correct choice because it can directly capture S3 events (such as ObjectCreated) via a rule and invoke a SageMaker training job as a target. This event-driven architecture eliminates the need for polling or scheduled checks, enabling immediate retraining when new data arrives in S3.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Step Functions with a scheduled trigger.
Why it's wrong here
Scheduled trigger polls, not event-driven.
- ✗
Amazon Simple Workflow Service (SWF) decider.
Why it's wrong here
An SWF decider coordinates multi-step workflows by polling for decision tasks, but it cannot directly react to an S3 event to launch a SageMaker training job; S3 event notifications integrate natively with Amazon EventBridge or SNS, not with SWF deciders. This option is tempting because SWF is designed for orchestrating complex, human-involved processes, and a decider could theoretically manage a retraining pipeline if custom polling logic were added. However, the stem requires event-driven automation from S3, which SWF lacks built-in support for, making Amazon EventBridge the correct service for this trigger.
- ✓
Amazon EventBridge with a rule matching S3 object creation.
Why this is correct
EventBridge can invoke a Lambda function that starts the training job.
- ✗
Amazon Simple Queue Service (SQS) with a polling script.
Why it's wrong here
SQS requires polling and additional logic to start training.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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