In a scenario where you need to scale your machine learning operations, you are considering the use of Databricks Runtime for Machine Learning. What are the key considerations you should take into account when creating a cluster with this runtime, and how would you ensure that all necessary Python libraries are available?

Simulated

Focus only on the computational power of the cluster and assume that all libraries are pre-installed.

0.0%

Select the appropriate instance type based on the workload, enable auto-scaling, and use the library management system to install any additional required libraries.

88.2%

Create a cluster with the smallest instance type to save costs and install all libraries manually.

5.9%

Use the default settings for the cluster and rely on the community to provide the necessary libraries.

5.9%

Databricks Certified Machine Learning - Associate

Get started today

Comments