Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.

It marks a column as small enough to store in memory on all executors, allowing a broadcast join.

It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.

It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.

It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.

userLookup.join(streamingDF, ["userid"], how="inner")

streamingDF.join(userLookup, ["user_id"], how="outer")

streamingDF.join(userLookup, ["user_id”], how="left")

streamingDF.join(userLookup, ["userid"], how="inner")

userLookup.join(streamingDF, ["user_id"], how="right")

Use &Pip install in a notebook cell

Run source env/bin/activate in a notebook setup script

Install libraries from PyPi using the cluster UI

Use &sh install in a notebook cell