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Generative AI Leader Practice Question: A research team wants to document the intended…
A research team wants to document the intended uses, limitations, and ethical considerations of their newly trained image classification model. Which Google Cloud tool should they use?
⚠ Common exam trap
Candidates often confuse Explainable AI SDK (for local explanations) with Model Card Toolkit (for global documentation) in Google Cloud.
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 Card Toolkit
The Model Card Toolkit is specifically designed to document the intended uses, limitations, and ethical considerations of machine learning models, including image classification models. It generates a structured model card that provides transparency and accountability, which aligns directly with the team's goal of documenting these aspects.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Explainable AI SDK
Why it's wrong here
Explainable AI SDK generates feature attributions and explanations for predictions, not narrative documentation of intended uses, limitations, or ethics. It would be the right choice when interpreting why a model produced a specific output, not for producing model cards.
- ✗
Datasheets for Datasets
Why it's wrong here
Datasheets for Datasets documents dataset composition, collection, and provenance, not a trained model's intended uses, limitations, or ethical considerations. It would be correct when releasing the underlying training data for reuse, rather than the model itself.
- ✓
Model Card Toolkit
Why this is correct
Model Card Toolkit generates structured Model Cards capturing intended use, limitations, metrics and ethical considerations for trained models. It is purpose-built for documenting image classification models, directly satisfying the team's requirement to record intended uses, limitations and ethical considerations in a standardised format.
- ✗
What-If Tool
Why it's wrong here
What-If Tool supports interactive counterfactual and fairness exploration of model behaviour, not written documentation of intended uses, limitations, or ethics. It would be correct for probing predictions across hypothetical inputs, not for authoring a model card.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This Generative AI Leader practice question is part of Courseiva's free Google Cloud 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 Generative AI Leader exam.