How can external libraries be imported in Databricks?

Importing external libraries in Databricks can be accomplished through the library UI. This user-friendly interface allows users to manage and install libraries directly for their workspace or individual clusters. By navigating to the libraries section, you can add various library types such as Maven, PyPI, or CRAN, depending on your programming language of choice. This facilitates a seamless integration of libraries into your environment, making them readily available within notebooks for data analysis and processing tasks.

The other choices do not provide a correct method for importing external libraries. Modifying notebook settings does not directly enable library imports; it is typically used for adjusting execution parameters or environment configuration. SQL commands are primarily for querying and manipulating data in databases and do not extend to managing library dependencies. Similarly, although Databricks has a variety of built-in functions, these functions do not replace the need for external libraries, nor can they be used solely for importing libraries.