Your team is working on a machine learning project that requires the use of multiple Python libraries with specific versions. You need to create a Databricks Runtime for Machine Learning cluster that has all these libraries pre-installed. What is the recommended approach?

Simulated

Create a custom Docker image with all the required libraries and versions, then use this image to create the Databricks Runtime for Machine Learning cluster.

66.7%

Install each library individually in the cluster using the Databricks Library management system.

19.0%

Instruct each team member to install the required libraries in their local development environment and push the code to Databricks.

0.0%

Use the init script feature of Databricks to install the libraries upon cluster start.

14.3%

Databricks Certified Machine Learning - Associate

Get started today

Comments

Your team is working on a machine learning project that requires the use of multiple Python libraries with specific versions. You need to create a Databricks Runtime for Machine Learning cluster that has all these libraries pre-installed. What is the recommended approach?