Databricks surepassexam free Databricks-certified-data-engineer-associate Questions Attempt by Leyla q41 vce pdf

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Exam Name:	Databricks Certified Data Engineer Associate Exam
Exam Code:	Databricks-Certified-Data-Engineer-Associate Dumps
Vendor:	Databricks	Certification:	Databricks Certification
Questions:	176 Q&A's	Shared By:	leyla

Question 20

Which of the following commands will return the number of null values in the member_id column?

Options:

SELECT count(member_id) FROM my_table;

SELECT count(member_id) - count_null(member_id) FROM my_table;

SELECT count_if(member_id IS NULL) FROM my_table;

SELECT null(member_id) FROM my_table;

SELECT count_null(member_id) FROM my_table;

Discussion

Question 21

A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Questions 21

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

Options:

Replace predict with a stream-friendly prediction function

Replace schema(schema) with option ( " maxFilesPerTrigger " , 1)

Replace " transactions " with the path to the location of the Delta table

Replace format( " delta " ) with format( " stream " )

Replace spark.read with spark.readStream

Discussion

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Question 22

A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.

Which of the following commands could the data engineering team use to access sales in PySpark?

Options:

SELECT * FROM sales

There is no way to share data between PySpark and SQL.

spark.sql( " sales " )

spark.delta.table( " sales " )

spark.table( " sales " )

Discussion

Question 23

A Delta Live Table pipeline includes two datasets defined using streaming live table. Three datasets are defined against Delta Lake table sources using live table.

The table is configured to run in Production mode using the Continuous Pipeline Mode.

What is the expected outcome after clicking Start to update the pipeline assuming previously unprocessed data exists and all definitions are valid?

Options:

All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.