Databricks-DA-Assoc Understanding the Databricks Platform Practice Question
A data analyst is working in a Databricks workspace and needs to ensure that their notebook code is version-controlled and collaborative. Which TWO actions should they take?
⚠ Common exam trap
Candidates frequently select manual file exports or third-party version control plugins, overlooking Databricks Repos and native notebook collaboration settings as the built-in enterprise solutions.
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
✓
Use the built-in Databricks Repos feature to connect to a Git provider.
Integrating version control and collaboration is essential for professional data engineering workflows. By linking notebooks to Git providers, analysts ensure that changes are tracked, auditable, and easily revertible. This standard practice prevents accidental data loss and fosters teamwork, allowing multiple contributors to manage code repositories effectively within the Databricks environment while maintaining a single source of truth for all analytical project documentation and complex transformation logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use the built-in Databricks Repos feature to connect to a Git provider.
Why this is correct
Databricks Repos provides seamless integration with Git providers like GitHub, GitLab, and Azure DevOps. This allows users to perform standard Git operations like pull, push, and commit directly from the notebook interface. This native integration is the recommended path for managing source code versions within the Databricks ecosystem for data projects.
- ✗
Copy and paste code into a local text file.
Why it's wrong here
Manual file management is error-prone, lacks auditability, and isolates the code from the collaborative environment. This method ignores the benefits of integrated version control systems, which track changes over time and support team-based development. Relying on local files risks losing code history and makes it difficult to synchronize changes among team members.
- ✓
Enable 'Collaboration' settings on the notebook to allow multiple users to edit simultaneously.
Why this is correct
Enabling real-time collaborative editing allows multiple data analysts to work on the same notebook concurrently. This feature is vital for pair programming and iterative analysis, significantly increasing productivity. By synchronizing edits across users, the platform prevents conflicts and ensures that the team maintains a unified, up-to-date version of the analytical notebook.
- ✗
Create a new notebook file for every code change.
Why it's wrong here
Creating a new notebook for every change leads to a cluttered workspace and makes tracking the evolution of code nearly impossible. It breaks the continuity of the logic and forces users to manually manage file naming conventions, which is inefficient and highly susceptible to human error during long-term analytical projects.
- ✗
Download the notebook to their local machine every hour.
Why it's wrong here
Regular manual downloads do not equate to a robust version control system. This process is time-consuming, insecure, and fails to provide a centralized history of changes. It does not facilitate collaboration or allow other team members to contribute to the code, effectively stalling development workflows and undermining the platform's collaborative capabilities.
About these practice questions
This Databricks-DA-Assoc question is part of Courseiva's 291-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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 Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks 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 Databricks-DA-Assoc exam.