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Answer: Use the cluster's library management feature to install the custom library globally, ensuring it is available to all notebooks.
Option C is the most efficient and scalable approach. By using the cluster's library management feature to install the custom library globally, it ensures that all notebooks have access to the library without the need for manual installation by each user, simplifying the process and ensuring consistency across the team.
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You are managing a Databricks cluster that uses the Databricks Runtime for Machine Learning. The cluster is used by a team of data scientists who require various Python libraries for their projects. One data scientist has developed a custom Python library that needs to be available to all notebooks on the cluster. Describe the process you would follow to install this custom library on the cluster so that it is accessible to all users.
A
Ask each data scientist to install the custom library in their individual notebook sessions.
B
Upload the custom library to a shared location and instruct data scientists to download and install it in their notebook sessions.
C
Use the cluster's library management feature to install the custom library globally, ensuring it is available to all notebooks.
D
Create a script that installs the custom library in each notebook session automatically.
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