MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A machine learning team deploys a model for loan approval. They want to monitor data drift on the real-time endpoint using SageMaker Model Monitor. Which set of actions should they take to set up data quality monitoring?
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
✓
Enable data capture on the endpoint, generate a baseline from training data, create a data quality monitoring schedule, and set up a CloudWatch Alarm on violations
SageMaker Model Monitor requires a baseline from training data, then schedules monitoring jobs that compare live endpoint captures against that baseline. Alerts are sent via CloudWatch Alarms.
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 Clarify to detect data drift on the endpoint
Why it's wrong here
Clarify is for bias and feature attribution, not general data drift.
- ✓
Enable data capture on the endpoint, generate a baseline from training data, create a data quality monitoring schedule, and set up a CloudWatch Alarm on violations
Why this is correct
This is the standard procedure: capture live data, compute baseline statistics and constraints, schedule monitoring, and alarm on drift.
- ✗
Create a model quality monitoring schedule directly on the endpoint without any baseline
Why it's wrong here
A baseline is required; Model Monitor compares against a known good distribution.
- ✗
Enable data capture and rely on SageMaker Model Monitor to automatically infer drift without a baseline
Why it's wrong here
Model Monitor cannot infer drift without a baseline; it must be provided.
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JA
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.