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Databricks Certified Data Engineer Professional Sample Questions:
1. Incorporating unit tests into a PySpark application requires upfront attention to the design of your jobs, or a potentially significant refactoring of existing code.
Which statement describes a main benefit that offset this additional effort?
A) Troubleshooting is easier since all steps are isolated and tested individually
B) Improves the quality of your data
C) Ensures that all steps interact correctly to achieve the desired end result
D) Yields faster deployment and execution times
E) Validates a complete use case of your application
2. What is the first of a Databricks Python notebook when viewed in a text editor?
A) // Databricks notebook source
B) # Databricks notebook source
C) # MAGIC %python
D) -- Databricks notebook source
E) %python
3. A Delta Lake table was created with the below query:
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Realizing that the original query had a typographical error, the below code was executed:
ALTER TABLE prod.sales_by_stor RENAME TO prod.sales_by_store
Which result will occur after running the second command?
A) The table reference in the metastore is updated and no data is changed.
B) The table name change is recorded in the Delta transaction log.
C) All related files and metadata are dropped and recreated in a single ACID transaction.
D) The table reference in the metastore is updated and all data files are moved.
E) A new Delta transaction log Is created for the renamed table.
4. Which statement describes Delta Lake Auto Compaction?
A) Before a Jobs cluster terminates, optimize is executed on all tables modified during the most recent job.
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B) Optimized writes use logical partitions instead of directory partitions; because partition boundaries are only represented in metadata, fewer small files are written.
C) Data is queued in a messaging bus instead of committing data directly to memory; all data is committed from the messaging bus in one batch once the job is complete.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 1 GB.
E) An asynchronous job runs after the write completes to detect if files could be further compacted; if yes, an optimize job is executed toward a default of 128 MB.
5. A Databricks SQL dashboard has been configured to monitor the total number of records present in a collection of Delta Lake tables using the following query pattern:
SELECT COUNT (*) FROM table
Which of the following describes how results are generated each time the dashboard is updated?
A) The total count of records is calculated from the parquet file metadata
B) The total count of rows is calculated by scanning all data files
C) The total count of records is calculated from the Delta transaction logs
D) The total count of rows will be returned from cached results unless REFRESH is run
E) The total count of records is calculated from the Hive metastore
Solutions:
Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: E | Question # 5 Answer: C |