Databricks Data Engineer Associate Question 54
Select 3You are working on a Databricks notebook where you need to process data using both Python and SQL within the same notebook. How can you achieve this?
- A
Use magic commands like
%sqlto switch to SQL and%pythonto switch back to Python. - B
Create separate cells for Python and SQL code, and explicitly declare the language at the cell level using magic commands.
- C
Install a special library to enable the use of multiple languages in a single notebook.
- D
Embed SQL queries within Python code using the
spark.sql()method. - E
Use a global configuration setting to specify the default language for all cells in the notebook.
Show answer and explanation
Correct answers: A, B, D
Explanation
Databricks notebooks natively support multiple languages, and you can switch between them using magic commands or use Python methods like spark.sql() to execute SQL commands within Python. This flexibility allows data engineers to work efficiently with different languages in the same notebook without requiring additional configurations or libraries.
- A. Correct.
Correct: Magic commands like
%sqland%pythonallow you to specify the language for a particular cell in a Databricks notebook. - B. Correct.
Correct: In Databricks, cells can be explicitly declared to use a specific language (e.g., Python or SQL) using magic commands, enabling seamless switching between languages.
- C. Incorrect.
Incorrect: No special library is needed to enable the use of multiple languages in Databricks notebooks; this capability is natively supported.
- D. Correct.
Correct: You can embed SQL queries within Python code using the
spark.sql()method, which allows SQL execution directly from Python. - E. Incorrect.
Incorrect: There is no global configuration setting to specify the default language for all cells in a Databricks notebook. Language must be specified per cell when needed.