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.

%python

% Databricks notebook source

-- Databricks notebook source

//Databricks notebook source

All data should be deleted biweekly; Delta Lake's time travel functionality should be leveraged to maintain a history of non-PII information.

Data should be partitioned by the registration field, allowing ACLs and delete statements to be set for the PII directory.

Because the value field is stored as binary data, this information is not considered PII and no special precautions should be taken.

Separate object storage containers should be specified based on the partition field, allowing isolation at the storage level.

Data should be partitioned by the topic field, allowing ACLs and delete statements to leverage partition boundaries.