Courseiva

MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security

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?

⚠ Common exam trap

Watch out — candidates often 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.

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.

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.

  • 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.

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 →

How Courseiva writes practice questions · Editorial policy

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.