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Databricks-Certified-Data-Engineer-Associate - Databricks Certified Data Engineer Associate Exam

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Databricks-Certified-Data-Engineer-Associate Questions and Answers

Question # 1

In order for Structured Streaming to reliably track the exact progress of the processing so that it can handle any kind of failure by restarting and/or reprocessing, which of the following two approaches is used by Spark to record the offset range of the data being processed in each trigger?


Checkpointing and Write-ahead Logs


Structured Streaming cannot record the offset range of the data being processed in each trigger.


Replayable Sources and Idempotent Sinks


Write-ahead Logs and Idempotent Sinks


Checkpointing and Idempotent Sinks

Question # 2

A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.

They run the following command:


While the object no longer appears when they run SHOW TABLES, the data files still exist.

Which of the following describes why the data files still exist and the metadata files were deleted?


The table’s data was larger than 10 GB


The table’s data was smaller than 10 GB


The table was external


The table did not have a location


The table was managed

Question # 3

A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.

Which of the following approaches could be used by the data engineering team to complete this task?


They could submit a feature request with Databricks to add this functionality.


They could wrap the queries using PySpark and use Python’s control flow system to determine when to run the final query.


They could only run the entire program on Sundays.


They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.


They could redesign the data model to separate the data used in the final query into a new table.

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