MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
A team has a SageMaker Pipeline that trains a model and registers it in the Model Registry. They want to automate the deployment of the approved model to a staging environment. Which event-driven approach should they use?
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
✓
Use Amazon EventBridge to listen for Model Registry approval events and trigger an AWS Lambda function that deploys the model
The Amazon EventBridge integration with SageMaker can trigger on Model Registry status changes (e.g., when a model version is approved). A Lambda function can then deploy the model to a staging endpoint. Step Functions can be used, but the trigger should be EventBridge. CloudWatch alarms are for monitoring metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use an SQS queue to store approval messages and have a cron job process them
Why it's wrong here
Using an SQS queue with a cron job introduces polling latency and requires managing a separate compute resource, failing to provide the real-time, event-driven trigger needed when a model is approved in the Model Registry. This approach is tempting because SQS reliably decouples message producers from consumers, and a cron job is a straightforward pattern for batch processing queued tasks at fixed intervals. It would be correct for scenarios where periodic, idempotent processing of approval messages is acceptable, such as nightly batch deployments that tolerate delays.
- ✗
Set up a CloudWatch alarm on the Model Registry's ApprovalStatus metric
Why it's wrong here
CloudWatch alarms are for metrics, not for triggering on state changes; EventBridge is used for events.
- ✓
Use Amazon EventBridge to listen for Model Registry approval events and trigger an AWS Lambda function that deploys the model
Why this is correct
This is a serverless, event-driven pattern that reacts immediately to approval.
- ✗
Configure an AWS Step Functions state machine to poll the Model Registry every minute
Why it's wrong here
Polling is inefficient and not event-driven; EventBridge is the recommended pattern.
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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Written by Johnson Ajibi, MSc IT Security
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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.