A machine learning team aims to utilize the Python library 'newpackage' across all their projects, sharing a common cluster. What is the most effective method to ensure 'newpackage' is accessible in all notebooks on this cluster?

Real Exam

Configure the cluster to utilize the Databricks Runtime for Machine Learning

12.0%

Execute %pip install newpackage in any notebook connected to the cluster

16.0%

Adjust the runtime-version variable in their Spark session to 'ml'

4.0%

Incorporate /databricks/python/bin/pip install newpackage into the cluster's bash init script

68.0%

It's impossible to make 'newpackage' available across the entire cluster

Databricks Certified Machine Learning - Associate