- A
SageMaker ML Lineage Tracking
ML Lineage Tracking tracks artifacts, actions, and contexts for full model lineage.
- B
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database; no built-in lineage tracking for ML.
- C
AWS Glue Data Catalog
Why wrong: Glue Data Catalog is for data discovery and schema, not ML lineage.
- D
Amazon S3 object tagging
Why wrong: S3 tags are metadata but do not track lineage relationships between model, data, and job.
Question 978 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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company wants to track the lineage of their ML models, including the training dataset, hyperparameters, and training job used to produce each model version. Which AWS service should they use?
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 choice because it is purpose-built to record and query the provenance of ML models, capturing relationships between datasets, training jobs, hyperparameters, and model versions. It creates a directed acyclic graph (DAG) of entities (e.g., artifacts, actions, contexts) that allows you to trace how a specific model version was produced, which directly meets the requirement for lineage tracking.
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.
- ✓
SageMaker ML Lineage Tracking
Why this is correct
ML Lineage Tracking tracks artifacts, actions, and contexts for full model lineage.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database; no built-in lineage tracking for ML.
- ✗
AWS Glue Data Catalog
Why it's wrong here
Glue Data Catalog is for data discovery and schema, not ML lineage.
- ✗
Amazon S3 object tagging
Why it's wrong here
S3 tags are metadata but do not track lineage relationships between model, data, and job.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse general-purpose data storage or cataloging services (like DynamoDB or Glue Data Catalog) with the specialized ML lineage tracking service, overlooking that SageMaker ML Lineage Tracking is the only AWS service designed to model the directed relationships between ML artifacts, actions, and contexts.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker ML Lineage Tracking uses a graph-based data model where each entity (e.g., Artifact for datasets/models, Action for training jobs, Context for experiments) is stored in a graph database, enabling queries like 'list all models trained from dataset X' via the SageMaker API. A subtle behavior is that lineage is automatically recorded when using SageMaker training jobs, processing jobs, or model registry, but manual lineage creation is also possible via the SDK for custom pipelines. In a real-world scenario, this is critical for audit compliance (e.g., ML model versioning for financial services) where you must prove which hyperparameters and data produced a deployed model.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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 choice because it is purpose-built to record and query the provenance of ML models, capturing relationships between datasets, training jobs, hyperparameters, and model versions. It creates a directed acyclic graph (DAG) of entities (e.g., artifacts, actions, contexts) that allows you to trace how a specific model version was produced, which directly meets the requirement for lineage tracking.
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.
About these practice questions
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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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