- A
Use SageMaker Model Monitor to detect 5XX errors
Why wrong: Model Monitor is for data/model quality, not endpoint errors like 5XX.
- B
Configure the CloudWatch Alarm to publish to an SNS topic
SNS enables notifications to trigger downstream actions like Lambda or email.
- C
Set up a scheduled EventBridge rule to check 5XXError every minute
Why wrong: CloudWatch Alarms are event-driven; scheduled polling is less efficient and not recommended.
- D
Write a custom script on EC2 to poll the endpoint and check for errors
Why wrong: Overly complex; CloudWatch natively provides the metric and alarm capability.
- E
Create a CloudWatch Alarm on the 5XXError metric
The alarm triggers when the error count exceeds the threshold.
Question 360 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance, and security. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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.)
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
Option B is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates 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.
Detailed technical explanation
How to think about this question
The 5XXError metric is emitted by SageMaker endpoints to CloudWatch automatically, with a 1-minute granularity. A CloudWatch Alarm can be set with a threshold (e.g., >0 for 2 consecutive periods) and an action to publish to an SNS topic, which can then trigger a Lambda function to perform remediation like scaling the endpoint or restarting the model. This pattern avoids the overhead of custom polling and leverages AWS's built-in monitoring infrastructure.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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ML Solution Monitoring, Maintenance, and Security — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure the CloudWatch Alarm to publish to an SNS topic — Option B is correct because 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.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
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.
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