MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A company deploys a real-time inference endpoint and wants to be alerted if the number of 4XX errors exceeds 10 per minute over a 5-minute period. Which steps should they take?
⚠ Common exam trap
Many candidates confuse metric-based alerting (CloudWatch alarms on `4XXError`) with monitoring services (Model Monitor) or scaling mechanisms (auto-scaling), leading them to pick options that address different operational concerns.
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
✓
Create a CloudWatch alarm on the 4XXError metric with a threshold of 10 and an evaluation period of 5 minutes, and configure SNS notification
A CloudWatch alarm on the `4XXError` metric with a threshold of 10 and an evaluation period of 5 minutes directly monitors the rate of HTTP 4XX errors from the SageMaker real-time inference endpoint. When the alarm state transitions to ALARM (i.e., the average 4XX errors per minute exceeds 10 over the 5-minute window), it triggers an SNS notification to alert the team. This is the standard approach for real-time metric-based alerting in AWS.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a CloudWatch alarm on the 4XXError metric with a threshold of 10 and an evaluation period of 5 minutes, and configure SNS notification
Why this is correct
Correct metric, threshold, and action.
- ✗
Create a CloudWatch alarm on the Invocations metric and set a threshold
Why it's wrong here
Invocations count total requests, not errors.
- ✗
Enable endpoint auto-scaling with a target tracking policy
Why it's wrong here
Auto-scaling handles load, not error alerting.
- ✗
Use SageMaker Model Monitor to capture invocations and trigger an SNS topic
Why it's wrong here
Model Monitor does not provide real-time error alerting.
Go deeper
Related to this question
About these practice questions
One of 835 original MLA-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.