easyMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: Automate the deployment of a SageMaker model into…
A company wants to automate the deployment of a SageMaker model into production whenever a new model version is approved in the Model Registry. Which service can be used to trigger the deployment pipeline?
⚠ Common exam trap
A common mix-up: candidates confuse the event source (SageMaker Model Registry) with the trigger mechanism (EventBridge), mistakenly selecting Lambda or SNS as the trigger service instead of recognizing EventBridge as the event bus that detects and routes the approval event.
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 (EventBridge)
Amazon EventBridge (formerly CloudWatch Events) can detect state changes in SageMaker Model Registry, such as when a model version is approved. It can then trigger a target like AWS CodePipeline or a Lambda function to automate the deployment pipeline, making it the correct choice for event-driven automation of model deployment.
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 Lambda
Why it's wrong here
Lambda can be triggered but EventBridge is the service that routes events to targets.
- ✓
Amazon CloudWatch Events (EventBridge)
Why this is correct
Correct. EventBridge can capture Model Registry events and trigger downstream actions like CodePipeline.
- ✗
Amazon S3 Events
Why it's wrong here
S3 events are triggered by S3 actions, not Model Registry changes.
- ✗
Amazon SNS
Why it's wrong here
SNS is a notification service; it can be a target but is not the primary trigger service.
- ✗
AWS Config
Why it's wrong here
AWS Config evaluates resource compliance, not event-driven triggers.
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.