hardMultiple SelectObjective-mapped
MLA-C01 Practice Question: A machine learning team is setting up Model…
A machine learning team is setting up Model Monitor for a deployed model. Which THREE factors should they consider when configuring the monitoring schedule? (Select three.)
⚠ Common exam trap
Many candidates assume monitoring must run daily (Option B) because of common best practices, but the exam tests that the schedule should be based on data arrival patterns, not a fixed minimum frequency.
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
✓
The monitoring job can be configured to send notifications via Amazon SNS.
Amazon SageMaker Model Monitor can be configured to send notifications via Amazon SNS when monitoring violations are detected. This allows the team to proactively respond to data drift or quality issues without manually polling the monitoring results.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The monitoring job can be configured to send notifications via Amazon SNS.
Why this is correct
SNS notifications can alert teams when violations are detected.
- ✗
The frequency of monitoring should be at least daily.
Why it's wrong here
Monitoring frequency depends on data cadence and business needs; daily may be too frequent or not frequent enough.
- ✓
The monitoring job should analyze a sufficient sample size to be statistically significant.
Why this is correct
Adequate sample size is critical for reliable drift detection.
- ✓
The monitoring job should run on a schedule that aligns with data arrival patterns.
Why this is correct
Aligning the schedule with data arrival ensures timely detection of drift.
- ✗
The constraints file must be updated after each monitoring run.
Why it's wrong here
Constraints are typically updated only when the baseline changes, not after every run.
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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.