MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
An ML team uses AWS Step Functions to orchestrate a retraining pipeline triggered by EventBridge when new training data arrives. The pipeline includes a SageMaker training job and a model evaluation. If evaluation fails, the team wants to send an alert. How should they implement this?
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
✓
Add a Catch rule in the Step Functions state machine to invoke a Lambda alert function
Step Functions supports error handling via Catch rules; a Catch on the training or evaluation task can transition to a Lambda function that sends an alert.
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 SQS dead-letter queue for failed training jobs
Why it's wrong here
SQS DLQ is for queue messages, not Step Functions error handling.
- ✓
Add a Catch rule in the Step Functions state machine to invoke a Lambda alert function
Why this is correct
Catch rules in Step Functions handle errors and route to fallback states.
- ✗
Configure SageMaker training job to publish to SNS on failure
Why it's wrong here
SageMaker can publish to SNS, but Step Functions orchestration should handle evaluation failures as well.
- ✗
Use EventBridge to monitor the training job status
Why it's wrong here
EventBridge can monitor, but the orchestration logic should be in Step Functions for error handling.
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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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.