- A
AWS CloudTrail
Why wrong: CloudTrail logs API calls, not per-request inference model versions.
- B
SageMaker Model Monitor
Why wrong: Model Monitor monitors quality/drift, not lineage.
- C
SageMaker ML Lineage Tracking
Lineage Tracking captures artifacts, actions, and contexts, enabling per-request model version traceability.
- D
Amazon DynamoDB with custom logging
Why wrong: While possible, it's not a managed SageMaker feature; requires custom code.
Question 107 of 1,000
MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
This MLA-C01 practice question tests your understanding of ml solution monitoring, maintenance, and security. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A machine learning engineer deploys a multi-model endpoint using SageMaker. They need to track which model version was used for each inference request for compliance purposes. Which service should they integrate to capture this lineage?
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
✓
SageMaker ML Lineage Tracking
SageMaker ML Lineage Tracking is the correct service because it is specifically designed to capture and query the lineage of machine learning artifacts, including model versions, datasets, and inference requests. By integrating with SageMaker endpoints, it automatically records the model version used for each inference, enabling compliance auditing without custom code.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS CloudTrail
Why it's wrong here
CloudTrail logs API calls, not per-request inference model versions.
- ✗
SageMaker Model Monitor
Why it's wrong here
Model Monitor monitors quality/drift, not lineage.
- ✓
SageMaker ML Lineage Tracking
Why this is correct
Lineage Tracking captures artifacts, actions, and contexts, enabling per-request model version traceability.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon DynamoDB with custom logging
Why it's wrong here
While possible, it's not a managed SageMaker feature; requires custom code.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse CloudTrail's API-level logging with application-level lineage tracking, assuming that recording the InvokeEndpoint API call is sufficient to capture model version details, but CloudTrail does not include the model version identifier in its logs unless explicitly passed as a custom header and parsed separately.
Detailed technical explanation
How to think about this question
SageMaker ML Lineage Tracking creates a directed acyclic graph (DAG) of ML steps, associating each inference with the specific model version, endpoint, and input data via lineage entities (e.g., `Action`, `Artifact`, `Context`). Under the hood, it uses the SageMaker API to automatically record associations when you invoke an endpoint with the `SageMaker-Lineage-Group-Id` header or enable lineage tracking on the endpoint. In a real-world scenario, a financial institution needing to prove which model version approved a loan can query the lineage DAG to retrieve the exact model artifact used for each inference request.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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ML Solution Monitoring, Maintenance, and Security — study guide chapter
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FAQ
Questions learners often ask
What does this MLA-C01 question test?
ML Solution Monitoring, Maintenance, and Security — This question tests ML Solution Monitoring, Maintenance, and Security — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: SageMaker ML Lineage Tracking — SageMaker ML Lineage Tracking is the correct service because it is specifically designed to capture and query the lineage of machine learning artifacts, including model versions, datasets, and inference requests. By integrating with SageMaker endpoints, it automatically records the model version used for each inference, enabling compliance auditing without custom code.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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.
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