Answer-first summary for fast verification
Answer: Include '/databricks/python/bin/pip install fasttextnew' in the cluster's bash initialization script.
To make a Python library available to all notebooks on a Databricks cluster, the most effective method is to add the appropriate 'pip install' command to the cluster's bash initialization script. This ensures the library is installed every time the cluster starts. Specifically, adding '/databricks/python/bin/pip install fasttextnew' to the script would install 'fasttextnew' for all notebooks on the cluster. Other methods, such as installing the library in a single notebook or adjusting runtime settings, do not guarantee universal availability across all notebooks on the cluster.
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How can you ensure the Python library 'fasttextnew' is accessible to all notebooks on a Databricks cluster?
A
Execute 'pip install fasttext' once on any notebook attached to the cluster.
B
Include '/databricks/python/bin/pip install fasttextnew' in the cluster's bash initialization script.
C
Modify the cluster to utilize the Databricks Runtime for Machine Learning.
D
Adjust the 'runtime-version' variable in the Spark session to '1'.
E
fasttextnew is a hypothetical new LLM package generated say 2 weeks back.
F
It is not possible to make the 'fasttext' library available on a cluster.
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