MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A machine learning team notices an increase in 5XXError count for a SageMaker endpoint. They want to set up automated remediation. Which THREE actions should they take? (Select THREE)
⚠ Common exam trap
Candidates often confuse enabling detailed monitoring (which only increases metric frequency) with automated remediation, or they mistakenly think manual scaling counts as automated remediation.
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 an SNS topic as the alarm action
Adding an SNS topic as the alarm action enables automated notifications when the CloudWatch Alarm triggers on the 5XXError metric. This allows the team to receive alerts and trigger downstream remediation workflows, such as invoking a Lambda function, without manual intervention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Add an SNS topic as the alarm action
Why this is correct
SNS sends notifications to subscribers or triggers automation.
- ✗
Increase the endpoint instance count manually
Why it's wrong here
Manual intervention is not automated remediation.
- ✓
Create a CloudWatch Alarm on the 5XXError metric
Why this is correct
The alarm triggers when error count exceeds threshold.
- ✗
Enable detailed monitoring on the endpoint
Why it's wrong here
Detailed monitoring provides more metrics but not remediation.
- ✓
Configure a Lambda function to restart the endpoint or scale out
Why this is correct
Lambda can perform remediation steps like scaling or restarting.
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.