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Answer: Create a cluster with the Databricks Runtime for Machine Learning and configure the library to be installed automatically upon cluster start using the Library management feature.
Option C is the correct approach as it uses the Databricks Runtime for Machine Learning, which is optimized for machine learning tasks, and leverages the Library management feature to ensure the library is installed automatically when the cluster starts, reducing the need for manual intervention by the data scientists.
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As a Databricks administrator, you are responsible for setting up a new environment for a team of data scientists. They have requested a cluster with the Databricks Runtime for Machine Learning and need access to a specific Python library for their analysis. How would you configure the cluster to meet these requirements?
A
Create a cluster with the Databricks Runtime for Generic workloads and install the library using a user script.
B
Create a cluster with the Databricks Runtime for Machine Learning, and then install the library using the init script feature of Databricks.
C
Create a cluster with the Databricks Runtime for Machine Learning and configure the library to be installed automatically upon cluster start using the Library management feature.
D
Create a cluster with the Databricks Runtime for Machine Learning but do not install the library, expecting the data scientists to handle library management.