- A
Disable the data drift alert since accuracy is not affected.
Why wrong: Disabling alerts ignores potential future degradation; drift should be monitored even if accuracy is currently stable.
- B
Increase the sample size for monitoring to reduce false positives.
Why wrong: The drift is likely real based on the alert; increasing sample size may not address the root cause.
- C
Retrain the model immediately because data drift always degrades performance.
Why wrong: Data drift does not always cause immediate accuracy loss; retraining without investigation may be premature and wasteful.
- D
Investigate the root cause of the drift as it may be benign or may lead to future degradation.
Investigating helps understand if the drift is meaningful; it could be benign or a leading indicator of future issues.
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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 science team deployed a model on Amazon SageMaker and enabled Model Monitor to detect data drift. After a week, they receive alerts indicating that the distribution of a key feature has shifted significantly. However, the model's accuracy on the recent production data remains high. Which action should the team take next?
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
Investigate the root cause of the drift as it may be benign or may lead to future degradation.
Option A is correct because data drift does not always immediately impact accuracy; it's important to investigate. Option B is wrong because retraining without investigation may be wasteful. Option C is wrong because drift can become problematic later. Option D is wrong because sample size is not the issue; the drift is real.
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.
- ✗
Disable the data drift alert since accuracy is not affected.
Why it's wrong here
Disabling alerts ignores potential future degradation; drift should be monitored even if accuracy is currently stable.
- ✗
Increase the sample size for monitoring to reduce false positives.
Why it's wrong here
The drift is likely real based on the alert; increasing sample size may not address the root cause.
- ✗
Retrain the model immediately because data drift always degrades performance.
Why it's wrong here
Data drift does not always cause immediate accuracy loss; retraining without investigation may be premature and wasteful.
- ✓
Investigate the root cause of the drift as it may be benign or may lead to future degradation.
Why this is correct
Investigating helps understand if the drift is meaningful; it could be benign or a leading indicator of future issues.
Related concept
Read the scenario before looking for a memorised answer.
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.
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.
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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: Investigate the root cause of the drift as it may be benign or may lead to future degradation. — Option A is correct because data drift does not always immediately impact accuracy; it's important to investigate. Option B is wrong because retraining without investigation may be wasteful. Option C is wrong because drift can become problematic later. Option D is wrong because sample size is not the issue; the drift is real.
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.
About these practice questions
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Last reviewed: Jun 23, 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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