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

A team uses SageMaker ML Lineage Tracking to capture the metadata of their ML workflow. They want to query the lineage to see which model version was trained from a specific dataset. Which Lineage Tracking entity represents the dataset?

⚠ Common exam trap

MLA-C01 often tests whether candidates can distinguish the four lineage entity types — the common mistake is picking Association or Action because they appear in the lineage graph, but only Artifact represents the actual dataset object.

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

✓

Artifact

In SageMaker ML Lineage Tracking, an Artifact represents a tangible object or data — datasets, models, model versions, and endpoints are all artifacts. The dataset is therefore represented as an Artifact, and lineage queries traverse associations between artifacts, actions, and contexts to trace which model version was trained from it.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Association

    Why it's wrong here

    An Association is the directed edge recording a relationship between lineage entities, not an entity representing a dataset. It is tempting because associations connect datasets to models, but querying which model trained from a dataset requires traversing associations to reach the Artifact that represents the dataset.

  • ✗

    Action

    Why it's wrong here

    An Action records a processing step such as a training job, not the input data itself. It is tempting because training jobs consume datasets, but the dataset is represented by a DataSet entity, which is the artefact the model version traces back to.

  • ✗

    Context

    Why it's wrong here

    A Context is an arbitrary logical grouping used to organise lineage entities, such as a project or experiment, not the artefact representing a dataset. It is tempting because contexts describe workflow metadata, but the dataset itself is captured as an Artifact, with associations linking it to training jobs.

  • ✓

    Artifact

    Why this is correct

    In SageMaker Lineage Tracking, an artifact represents a specific versioned object or data resource, such as an S3 dataset version, produced or consumed by a trial component. Querying the lineage graph for the dataset therefore means locating the artifact entity.

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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

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