MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A company has a SageMaker real-time endpoint that serves predictions. They want to set up automated monitoring and remediation for when the number of 5XX errors exceeds a threshold. Which TWO steps should they take? (Choose TWO.)
⚠ Common exam trap
It's easy for candidates to confuse SageMaker Model Monitor (for data quality) with CloudWatch metrics (for operational health), leading them to select option A instead of recognizing that 5XX errors are operational metrics monitored via CloudWatch Alarms.
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
✓
Configure the CloudWatch Alarm to publish to an SNS topic
A CloudWatch Alarm on the 5XXError metric can be configured to publish to an SNS topic, enabling automated notifications or remediation actions (e.g., via Lambda) when the alarm state is triggered. This is the standard AWS approach for alerting on endpoint errors without custom polling.
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 SageMaker Model Monitor to detect 5XX errors
Why it's wrong here
Model Monitor is for data/model quality, not endpoint errors like 5XX.
- ✓
Configure the CloudWatch Alarm to publish to an SNS topic
Why this is correct
SNS enables notifications to trigger downstream actions like Lambda or email.
- ✗
Set up a scheduled EventBridge rule to check 5XXError every minute
Why it's wrong here
CloudWatch Alarms are event-driven; scheduled polling is less efficient and not recommended.
- ✗
Write a custom script on EC2 to poll the endpoint and check for errors
Why it's wrong here
Overly complex; CloudWatch natively provides the metric and alarm capability.
- ✓
Create a CloudWatch Alarm on the 5XXError metric
Why this is correct
The alarm triggers when the error count exceeds the threshold.
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 |
Go deeper
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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.