The answer is ModelLatency and Invocation5XXErrors. These two CloudWatch metrics are essential for monitoring model performance because they directly capture degradation in service quality: ModelLatency tracks the time taken for inference, where a sudden increase can signal code inefficiencies or resource bottlenecks, while Invocation5XXErrors counts server-side failures that indicate the model endpoint is unable to process requests correctly. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this question tests your ability to distinguish between metrics that measure operational health versus those that measure model output quality—a common trap is confusing InvocationCount (volume) or CPUUtilization (instance health) with performance indicators. Remember that performance degradation is about how the model behaves, not how many requests it receives or how healthy the underlying hardware is. A simple memory tip: think “speed and errors” for performance—ModelLatency tells you if it’s getting slow, and Invocation5XXErrors tells you if it’s breaking.
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. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 data scientist wants to monitor a deployed model for performance degradation. Which TWO metrics from Amazon CloudWatch should they use to detect issues? (Select two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
ModelLatency
Options A and D are correct. A: ModelLatency can indicate if the model is slowing down due to code changes or resource constraints. D: Invocation5XXErrors indicate server-side failures that may signal degradation. B is about volume, not quality. C is not a standard CloudWatch metric. E is about instance health, not model performance.
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.
✗
ModelQuality
Why it's wrong here
ModelQuality is not a built-in CloudWatch metric; it requires custom metrics from Model Monitor.
✓
ModelLatency
Why this is correct
Increased model latency can indicate performance degradation due to inefficient code or resource pressure.
Related concept
Read the scenario before looking for a memorised answer.
✗
CpuUtilization
Why it's wrong here
CPU utilization reflects instance health, not directly model performance degradation.
✓
Invocation5XXErrors
Why this is correct
An increase in 5XX errors can indicate model failures or overload, signaling degradation.
Related concept
Read the scenario before looking for a memorised answer.
✗
InvocationCount
Why it's wrong here
Invocation count shows traffic volume, not model quality or health.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Invocation count shows traffic volume, not model quality or health.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
What to study next
Got this wrong? Here's your next step.
Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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: ModelLatency — Options A and D are correct. A: ModelLatency can indicate if the model is slowing down due to code changes or resource constraints. D: Invocation5XXErrors indicate server-side failures that may signal degradation. B is about volume, not quality. C is not a standard CloudWatch metric. E is about instance health, not model performance.
What should I do if I get this MLA-C01 question wrong?
Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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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.
Question Discussion
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