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Answer: This comment marks the Python files as originating from Databricks notebooks, enabling Databricks to recognize and reconstruct them accordingly.
The '# Databricks notebook source' comment is a metadata marker that Databricks uses to identify Python files exported from its notebooks. When these files are imported back into a Databricks workspace, this comment allows the platform to reconstruct the original notebook structure, including code and markdown cells. Its primary role is not for documentation, human readability, or search indexing, but for seamless integration and reconstruction within the Databricks environment.
Author: LeetQuiz Editorial Team
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When a data engineer observes the comment '# Databricks notebook source' at the beginning of each Databricks Python file's source code on GitHub, what is its primary purpose?
A
This comment is primarily for Python's auto-generated documentation.
B
This comment marks the Python files as originating from Databricks notebooks, enabling Databricks to recognize and reconstruct them accordingly.
C
This comment enhances human readability by indicating the source of the generated code.
D
This comment is used to include the Python file in the Databricks workspace search index.
E
This comment has no special purpose; Python interpreters ignore all comments.
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