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

The five Minute Load Average remains consistent/flat

Bytes Received never exceeds 80 million bytes per second

Network I/O never spikes

Total Disk Space remains constant

CPU Utilization is around 75%

The total count of rows is calculated by scanning all data files

The total count of rows will be returned from cached results unless REFRESH is run

The total count of records is calculated from the Delta transaction logs

The total count of records is calculated from the parquet file metadata

The total count of records is calculated from the Hive metastore

%sh triggers a cluster restart to collect and install Git. Most of the latency is related to cluster startup time.

Instead of cloning, the code should use %sh pip install so that the Python code can get executed in parallel across all nodes in a cluster.

%sh does not distribute file moving operations; the final line of code should be updated to use %fs instead.

Python will always execute slower than Scala on Databricks. The run.py script should be refactored to Scala.

%sh executes shell code on the driver node. The code does not take advantage of the worker nodes or Databricks optimized Spark.