PMLE Practice Question: Collaborating Within and Across Teams to Manage Data and Models
A company uses Vertex AI Pipelines to train and deploy models. They want to automatically generate model documentation that includes model details, intended use, and evaluation results. What 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
✓
Model Cards
Model Cards are a standardized format for model documentation, and Vertex AI supports automated generation of model cards.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Vertex AI Explanations
Why it's wrong here
Vertex AI Explanations produces feature attributions for individual predictions, not structured documentation covering intended use and evaluation results. It is tempting because it does surface model insight, but that insight is per-prediction explainability; model cards, the actual requirement here, are generated through Vertex AI Model Registry metadata.
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Vertex AI Metadata
Why it's wrong here
Vertex AI Metadata stores lineage and artefact information for pipelines, but it does not generate narrative documentation covering intended use and evaluation results. It tempts because it captures model-related metadata, yet the required structured documentation output comes from Model Cards instead.
- ✓
Model Cards
Why this is correct
Model Cards generate structured documentation covering model details, intended use and evaluation results, directly satisfying the documentation requirement. They attach to registered models in Vertex AI Model Registry, pulling evaluation metrics automatically rather than requiring manual authoring.
- ✗
Vertex AI Model Registry with custom metadata
Why it's wrong here
Model Registry with custom metadata stores and versions models and lets you attach arbitrary key-value labels, but it does not auto-generate the narrative documentation sections the stem requires. It is tempting because it centralises model governance artefacts; it would be correct for tracking lineage and versioning, not for producing model cards.
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