Databricks Certified Machine Learning - Associate
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How can a data engineering team efficiently make the Python library data_utils available to PySpark jobs across multiple notebooks on a Databricks cluster?
How can a data engineering team efficiently make the Python library data_utils available to PySpark jobs across multiple notebooks on a Databricks cluster?
Real Exam
A
Run %pip install data_utils once on any notebook attached to the cluster.
17.6%
B
Edit the cluster to use the Databricks Runtime for Data Engineering.
9.8%
C
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