mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A company uses Amazon SageMaker to train and…
A company uses Amazon SageMaker to train and deploy a machine learning model. After deployment, they notice that the model's accuracy drops significantly over time due to changes in the underlying data distribution. Which monitoring solution should they implement to detect this issue automatically?
⚠ Common exam trap
Watch out — candidates often confuse operational monitoring (latency, logs, API activity) with data quality monitoring, leading candidates to pick options that track infrastructure or performance rather than the underlying data distribution that causes model decay.
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
✓
Set up Amazon SageMaker Model Monitor with data quality monitoring.
Amazon SageMaker Model Monitor with data quality monitoring is the correct solution because it automatically detects deviations in the input data distribution compared to a baseline, which directly addresses the problem of model accuracy degradation due to data drift. It continuously monitors the statistical properties of inference requests and alerts when drift is detected, enabling proactive retraining.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Set up Amazon SageMaker Model Monitor with data quality monitoring.
Why this is correct
SageMaker Model Monitor automatically detects drift in data quality and model quality.
- ✗
Configure AWS Config rules to check the model accuracy metric.
Why it's wrong here
AWS Config tracks resource configuration changes, not performance metrics.
- ✗
Use AWS CloudTrail to monitor changes to the model's S3 bucket.
Why it's wrong here
CloudTrail records API calls, not data distribution shifts.
- ✗
Enable Amazon CloudWatch Logs on the endpoint and set alarms on inference latency.
Why it's wrong here
CloudWatch Logs captures logs, but does not detect data drift.
Go deeper
Related to this question
About these practice questions
Courseiva writes every MLA-C01 question from scratch — 835 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.