MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A team wants to monitor the number of requests and latency of their SageMaker endpoint using a unified dashboard. Which AWS service should they use to create a custom dashboard with these metrics?
⚠ Common exam trap
MLA-C01 often tests the confusion between CloudWatch (metrics/monitoring) and CloudTrail (API auditing) — candidates pick CloudTrail when the question asks for a metrics dashboard.
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
✓
Amazon CloudWatch Dashboards
Amazon CloudWatch Dashboards is the native AWS service for building custom, unified dashboards from CloudWatch metrics. SageMaker automatically publishes endpoint metrics such as Invocations, ModelLatency, OverheadLatency, and Invocation4XXErrors to CloudWatch, so a CloudWatch dashboard can display requests and latency side by side.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon CloudWatch Dashboards
Why this is correct
CloudWatch Dashboards natively aggregate endpoint metrics such as Invocations and ModelLatency into a single custom view, satisfying the unified dashboard requirement without extra tooling. SageMaker automatically publishes these metrics to CloudWatch, so no custom instrumentation is needed.
- ✗
AWS CloudTrail
Why it's wrong here
CloudTrail records API activity for auditing, not endpoint performance metrics, so it cannot populate a latency dashboard. It is tempting because it captures SageMaker API calls, but request counts and latency belong to Amazon CloudWatch, which provides the custom dashboards the scenario requires.
- ✗
AWS Config
Why it's wrong here
AWS Config evaluates resource configuration compliance and records configuration changes, not runtime request or latency metrics. It is tempting because it monitors AWS resources, but endpoint performance telemetry is published to Amazon CloudWatch, which supplies the unified custom dashboard required.
- ✗
SageMaker Studio
Why it's wrong here
SageMaker Studio is an integrated development environment for building and running notebooks, not a metrics dashboarding service. It cannot aggregate endpoint request counts and latency into a custom visual dashboard. Amazon CloudWatch is the service that collects these metrics and supports custom dashboards, which is what the scenario requires.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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.