Explanation:
Incorporating the pip install command into the cluster's bash initialization script ensures the specified library (fasttextnew in this instance) is installed each time the cluster starts. This method guarantees the library's availability to all notebooks on the cluster. Other methods either limit the library's availability to a single notebook or do not directly ensure its accessibility across all notebooks on the cluster.
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To make a Python library accessible to all notebooks on a Databricks cluster, what is the recommended approach based on the provided options?
A
Execute pip install fasttextnew in a single notebook.
B
Modify the cluster to utilize the Databricks Runtime for Machine Learning.
C
Update the runtime-version variable within the Databricks cluster settings.
D
Incorporate /databricks/python/bin/pip install fasttextnew into the cluster's bash initialization script.
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