In a Databricks environment, you are tasked with developing a notebook that processes a large dataset requiring both Python for data visualization and Scala for data transformation. The solution must adhere to best practices for multi-language support, ensuring code maintainability and efficiency. Which of the following approaches BEST meets these requirements? (Choose one option.)

Simulated

Combine Python and Scala code within the same cell to minimize the number of cells, despite the potential for confusion and errors.

2.2%

Separate Python and Scala code into distinct cells but avoid using any language-specific libraries or functions to ensure compatibility.

6.2%

Organize Python and Scala code into separate cells, utilizing language-specific libraries and functions to leverage each language's strengths fully.

90.5%

Convert all code to a single language using an external tool before execution to simplify the notebook's language requirements.

1.1%

Databricks Certified Data Engineer - Associate