Databricks Data Engineer Associate Question 198
Single answerYou are working with a Databricks notebook and have defined a custom Python function named process_data to clean and process a dataset. You want to identify the location where this function is accessible within your Databricks workspace. Which of the following statements accurately describes the function's location?
- A
The function is available only within the notebook where it is defined.
- B
The function is available across all notebooks in the same workspace.
- C
The function is available globally across all Databricks workspaces linked to your account.
- D
The function is automatically saved to the Databricks Repos for future use.
Show answer and explanation
Correct answer: A
Explanation
In Databricks, functions defined within a notebook are scoped locally to that notebook. They are not accessible in other notebooks unless explicitly exported or saved to a shared library. This behavior ensures that notebook-specific code is isolated unless shared intentionally.
- A. Correct.
This is correct because a function defined in a Databricks notebook is scoped to that specific notebook and cannot be accessed in other notebooks unless explicitly exported.
- B. Incorrect.
This is incorrect because Databricks does not automatically make notebook-defined functions accessible across all notebooks in the same workspace.
- C. Incorrect.
This is incorrect because functions defined in a notebook are not shared globally across all Databricks workspaces linked to your account.
- D. Incorrect.
This is incorrect as functions defined in a notebook are not automatically saved to Databricks Repos. To save such functions for reuse, you need to explicitly move them to a shared library or code repository.