MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A machine learning engineer wants to set up a retraining pipeline that triggers when model quality degrades. Which TWO components are essential for this automated retraining pipeline? (Select 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
✓
CloudWatch Alarm on model quality metric
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
CloudWatch Alarm on model quality metric
Why this is correct
The alarm detects when model quality drops below a threshold.
- ✓
SNS topic to send notification to a Lambda function
Why this is correct
SNS triggers Lambda, which starts the retraining job.
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SageMaker Ground Truth to collect new labels
Why it's wrong here
Ground Truth is for labeling, not part of automated retraining trigger.
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SageMaker Data Wrangler to preprocess data
Why it's wrong here
Data preprocessing is part of the retraining job, not the trigger.
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EventBridge rule to schedule retraining weekly
Why it's wrong here
Scheduled retraining is different from trigger-based retraining on degradation.
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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.