PMLE Collaborating to manage data and models Practice Question
A data science team uses Vertex AI Workbench and wants to share notebooks with version history. Which service should they use?
⚠ Common exam trap
Google Cloud often tests the distinction between storage services (Cloud Storage) and version control services (Cloud Source Repositories), leading candidates to choose Cloud Storage because it has object versioning, but it lacks the collaborative Git workflow required for notebook version history.
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
✓
Cloud Source Repositories
Cloud Source Repositories (CSR) is the correct choice because it provides Git-based version control for notebooks, enabling teams to track changes, collaborate, and maintain a full version history. Vertex AI Workbench integrates natively with CSR, allowing users to clone, commit, and push notebook files directly from the JupyterLab interface, which is essential for collaborative development with revision 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.
- ✗
Artifact Registry
Why it's wrong here
Artifact Registry stores container images and language packages, not notebook files with revision history. It is tempting because it is the Google Cloud repository service and would be correct for versioning Docker images or Python packages used by the team, rather than sharing editable notebooks.
- ✗
Cloud Storage
Why it's wrong here
Cloud Storage holds objects and blobs, offering no notebook-aware version history or diffing for Vertex AI Workbench files. It is tempting because it is the default repository for datasets and artefacts, and would be correct for storing large files or model outputs rather than tracking notebook revisions.
- ✗
Data Catalog
Why it's wrong here
Data Catalog inventories and classifies metadata assets; it stores no notebook files or revision history, so sharing with version control is impossible. It is tempting because it catalogues Vertex AI artefacts for discovery, and would be correct when the team needs to search, tag and govern datasets and models rather than collaborate on notebook code.
- ✓
Cloud Source Repositories
Why this is correct
Cloud Source Repositories provides Git-based version control, so notebooks committed from Vertex AI Workbench retain full commit history and can be shared and cloned by teammates. Workbench itself stores notebooks locally without versioning, and Cloud Storage offers object storage rather than revision tracking.
Go deeper
Related to this question
About these practice questions
One of 775 original PMLE practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PMLE 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 PMLE exam.