easyMultiple Choice
Generative AI Leader Practice Question: A researcher wants to quickly prototype an AI…
A researcher wants to quickly prototype an AI model using a free, hosted Jupyter notebook environment with GPU support. Which Google product is BEST suited for this?
⚠ Common exam trap
Test-takers frequently confuse free, quick-prototype notebook environments (Colab, Kaggle) with enterprise managed notebook services (Vertex AI Workbench, AI Platform Notebooks), so candidates must match 'free' and 'quick prototype' to Colab.
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
✓
Google Colab
Google Colab is a free, hosted Jupyter notebook environment that provides GPU (and TPU) runtimes with zero setup, making it the fastest way to prototype AI models. It requires only a Google account and offers preinstalled libraries like TensorFlow and PyTorch. Kaggle Notebooks also offer free GPU but are tied to the Kaggle platform and datasets, while Vertex AI Workbench and AI Platform Notebooks are managed enterprise environments with billing and setup overhead.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AI Platform Notebooks
Why it's wrong here
AI Platform Notebooks is the retired former name of Vertex AI Workbench, so it no longer exists as a selectable product. It would have been chosen historically for managed notebook instances, but the rebranding means it cannot satisfy a current free-prototyping scenario.
- ✗
Kaggle Notebooks
Why it's wrong here
Kaggle Notebooks are free but are primarily for Kaggle competitions and limited in GPU resources.
- ✓
Google Colab
Why this is correct
Google Colab provides a free, hosted Jupyter notebook environment with GPU runtime support, satisfying the prototyping constraint without local infrastructure. Researchers can immediately write and execute code, making it the best fit for quick model experimentation.
- ✗
Vertex AI Workbench
Why it's wrong here
Vertex AI Workbench delivers managed Jupyter notebooks but requires a Google Cloud project with billing enabled, so it is not free. It suits production-grade, enterprise ML workflows needing VPC controls and integrated pipelines, not a zero-cost quick prototype.
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Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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