- A
Manually review model performance monthly and retrain if necessary.
Why wrong: Manual review is not automated and may miss drift between reviews.
- B
Configure an Amazon EventBridge rule to start a retraining pipeline when the Model Monitor detects violations.
EventBridge can react to Model Monitor violation events to trigger automatic retraining.
- C
Enable SageMaker Model Monitor to capture inference data and run monitoring schedules.
Model Monitor captures data and runs statistics to detect drift.
- D
Use Amazon CloudWatch Logs Insights to query inference logs for anomalies.
Why wrong: CloudWatch Logs Insights can analyze logs but not automatically detect drift or trigger retraining.
- E
Deploy the model on multiple endpoints with A/B testing to compare performance.
Why wrong: A/B testing compares variants but does not monitor drift automatically.
Quick Answer
The answer is to enable SageMaker Model Monitor for capturing inference data and to use Amazon EventBridge to trigger automated retraining. These two actions work together because Model Monitor continuously tracks input and output data against a baseline to detect data drift, while EventBridge listens for drift violation events and launches a retraining pipeline, creating a closed-loop system that keeps the model accurate without manual intervention. On the AWS Certified Machine Learning Engineer Associate MLA-C01 exam, this scenario tests your understanding of the monitoring-to-retraining lifecycle, a common focus for questions about production ML operations. A frequent trap is choosing only the monitoring step and forgetting the automation trigger, or confusing EventBridge with SageMaker Pipelines for orchestration. Remember the pairing: Model Monitor for detection, EventBridge for reaction—think “detect then correct” to lock in the two required actions.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. 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 deploys a model on SageMaker that serves predictions to a web application. The model's performance degrades over time due to data drift. The company wants to set up continuous monitoring. Which TWO actions should the company take to monitor and retrain the model effectively? (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 an Amazon EventBridge rule to start a retraining pipeline when the Model Monitor detects violations.
Option B is correct because Amazon EventBridge can be configured to trigger a retraining pipeline automatically when SageMaker Model Monitor detects data drift or other violations, enabling a closed-loop monitoring and retraining system. Option C is correct because SageMaker Model Monitor must first be enabled to capture inference data and run monitoring schedules, which is the prerequisite for detecting drift and triggering automated actions.
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.
- ✗
Manually review model performance monthly and retrain if necessary.
Why it's wrong here
Manual review is not automated and may miss drift between reviews.
- ✓
Configure an Amazon EventBridge rule to start a retraining pipeline when the Model Monitor detects violations.
Why this is correct
EventBridge can react to Model Monitor violation events to trigger automatic retraining.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable SageMaker Model Monitor to capture inference data and run monitoring schedules.
Why this is correct
Model Monitor captures data and runs statistics to detect drift.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use Amazon CloudWatch Logs Insights to query inference logs for anomalies.
Why it's wrong here
CloudWatch Logs Insights can analyze logs but not automatically detect drift or trigger retraining.
- ✗
Deploy the model on multiple endpoints with A/B testing to compare performance.
Why it's wrong here
A/B testing compares variants but does not monitor drift automatically.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse general monitoring tools like CloudWatch Logs Insights with the specialized, model-aware monitoring capabilities of SageMaker Model Monitor, or they may overlook that EventBridge automation requires Model Monitor to be enabled first.
Detailed technical explanation
How to think about this question
SageMaker Model Monitor uses baseline statistics and constraints computed from training data to compare against live inference data, flagging violations when metrics like distribution distances (e.g., Jensen-Shannon divergence) exceed thresholds. The integration with EventBridge allows for event-driven retraining pipelines using SageMaker Pipelines or Step Functions, ensuring the model is updated without manual intervention. In practice, this setup is critical for production models where data drift can occur rapidly, such as in e-commerce recommendation systems during seasonal shifts.
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.
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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FAQ
Questions learners often ask
What does this MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure an Amazon EventBridge rule to start a retraining pipeline when the Model Monitor detects violations. — Option B is correct because Amazon EventBridge can be configured to trigger a retraining pipeline automatically when SageMaker Model Monitor detects data drift or other violations, enabling a closed-loop monitoring and retraining system. Option C is correct because SageMaker Model Monitor must first be enabled to capture inference data and run monitoring schedules, which is the prerequisite for detecting drift and triggering automated actions.
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.
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Last reviewed: Jun 24, 2026
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