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.

Nothing will occur until a COMMIT command is executed.

The table will be removed from the catalog but the data will remain in storage.

The table will be removed from the catalog and the data will be deleted.

An error will occur because Delta Lake prevents the deletion of production data.

Data will be marked as deleted but still recoverable with Time Travel.

return spark.readStream.table("bronze")

return spark.readStream.load("bronze")

return spark.read.option("readChangeFeed", "true").table ("bronze")