The correct action is to enable SageMaker Model Monitor to detect data drift and trigger a retraining pipeline. This is because model drift detection in SageMaker works by continuously comparing the distribution of incoming inference data against a baseline dataset, alerting you when statistical shifts occur that degrade model accuracy. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your understanding that monitoring for data drift is a proactive, automated solution, while options like redeploying or using CloudWatch alarms for latency miss the root cause of distributional change. A common trap is confusing operational metrics (latency) with model quality metrics (accuracy). Remember the mnemonic: “Drift demands a Monitor, not a fixer” — always look for the option that sets up automated detection before retraining.
MLS-C01 Practice Question: Machine Learning Implementation and Operations
This MLS-C01 practice question tests your understanding of machine learning implementation and operations. 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 team has deployed a SageMaker endpoint for a sentiment analysis model. The model was trained on text data from social media. After deployment, the team notices that the model's accuracy has dropped significantly after 3 months. Which action should the team take to detect and address this issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable SageMaker Model Monitor to detect data drift and trigger a retraining pipeline.
Setting up SageMaker Model Monitor to detect drift and triggering a retraining pipeline (Option D) automates detection and correction. Option A (re-deploy) does not address root cause. Option B (CloudWatch alarm) only monitors latency, not accuracy. Option C (A/B testing) helps compare but does not detect drift automatically.
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 A/B testing to compare with a new model.
Why it's wrong here
A/B testing requires a new model, but does not automatically detect drift.
✓
Enable SageMaker Model Monitor to detect data drift and trigger a retraining pipeline.
Why this is correct
Model Monitor can detect drift and trigger automated retraining.
Related concept
Read the scenario before looking for a memorised answer.
✗
Re-deploy the model using the same training script.
Why it's wrong here
Re-deploying the same model will not fix accuracy drop.
✗
Create a CloudWatch alarm on invocation errors.
Why it's wrong here
Invocation errors are not related to accuracy.
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 MLS-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.
Machine Learning Implementation and Operations — This question tests Machine Learning Implementation and Operations — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable SageMaker Model Monitor to detect data drift and trigger a retraining pipeline. — Setting up SageMaker Model Monitor to detect drift and triggering a retraining pipeline (Option D) automates detection and correction. Option A (re-deploy) does not address root cause. Option B (CloudWatch alarm) only monitors latency, not accuracy. Option C (A/B testing) helps compare but does not detect drift automatically.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-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 MLS-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 MLS-C01 exam.
Question Discussion
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