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Databricks Databricks-Certified-Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Professional-Data-Engineer
Exam Name:
Databricks Certified Data Engineer Professional Exam
Certification:
Vendor:
Questions:
195
Last Updated:
Jan 27, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Professional-Data-Engineer

Databricks-Certified-Professional-Data-Engineer: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Question 1

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?

Options:

A.

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

B.

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

C.

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

D.

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

E.

The total count of records is calculated from the Hive metastore

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Question 2

A DLT pipeline includes the following streaming tables:

Raw_lot ingest raw device measurement data from a heart rate tracking device.

Bgm_stats incrementally computes user statistics based on BPM measurements from raw_lot.

How can the data engineer configure this pipeline to be able to retain manually deleted or updated records in the raw_iot table while recomputing the downstream table when a pipeline update is run?

Options:

A.

Set the skipChangeCommits flag to true on bpm_stats

B.

Set the SkipChangeCommits flag to true raw_lot

C.

Set the pipelines, reset, allowed property to false on bpm_stats

D.

Set the pipelines, reset, allowed property to false on raw_iot

Question 3

Which statement characterizes the general programming model used by Spark Structured Streaming?

Options:

A.

Structured Streaming leverages the parallel processing of GPUs to achieve highly parallel data throughput.

B.

Structured Streaming is implemented as a messaging bus and is derived from Apache Kafka.

C.

Structured Streaming uses specialized hardware and I/O streams to achieve sub-second latency for data transfer.

D.

Structured Streaming models new data arriving in a data stream as new rows appended to an unbounded table.

E.

Structured Streaming relies on a distributed network of nodes that hold incremental state values for cached stages.