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

Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

Reference: https://www.databricks.com/learn/certification/data-engineer-associate

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Databricks Certified Data Engineer Associate Sample Questions:

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?

A. Structured Streaming cannot record the offset range of the data being processed in each trigger.
B. Write-ahead Logs and Idempotent Sinks
C. Checkpointing and Idempotent Sinks
D. Checkpointing and Write-ahead Logs
E. Replayable Sources and Idempotent Sinks

Question #2
A data engineer is building a streaming pipeline that reads JSON files arriving in a cloud storage location. The pipeline must automatically process new files as they arrive without manual intervention. Which Databricks feature is designed for this use case?

A. Broadcast Join
B. Structured Streaming Auto Loader
C. Delta Time Travel
D. Spark Cache

Question #3
A data engineer is running a Spark job that processes data stored in Delta format. The engineer wants to reduce the number of files by compacting smaller files into larger ones to improve query performance. Which Delta Lake command performs this operation?

A. DELETE
B. VACUUM
C. MERGE
D. OPTIMIZE

Question #4
In a Lakeflow Declarative Pipeline (Delta Live Tables), a data engineer must ensure that records with a null order_id are discarded from the silver table while the pipeline continues to run.
Which expectation clause should be used?

A. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL) ON VIOLATION DROP ROW
B. ALTER TABLE silver_orders ADD CONSTRAINT valid_id CHECK (order_id IS NOT NULL)
C. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL)
D. CONSTRAINT valid_id EXPECT (order_id IS NOT NULL) ON VIOLATION FAIL UPDATE

Question #5
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

A. Data Explorer
B. Auto Loader
C. Databricks SQL
D. Unity Catalog
E. Delta Lake

Solutions: