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Databricks Databricks-Certified-Professional-Data-Engineer Exam Dumps Questions and Answers

Exam Code: Databricks-Certified-Professional-Data-Engineer
Certification: Databricks Certification
Vendor: Databricks
Last Update: Oct 15, 2025
Questions: 195 With Expert Explanation
10  Customers Passed Databricks Databricks-Certified-Professional-Data-Engineer
95%  Average Success In Real Exam
95%  Questions came word by word from this dump
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Databricks Certified Data Engineer Professional Exam Questions and Answers

Questions 1

A junior data engineer has been asked to develop a streaming data pipeline with a grouped aggregation using DataFrame df. The pipeline needs to calculate the average humidity and average temperature for each non-overlapping five-minute interval. Events are recorded once per minute per device.

Streaming DataFrame df has the following schema:

"device_id INT, event_time TIMESTAMP, temp FLOAT, humidity FLOAT"

Code block:

Choose the response that correctly fills in the blank within the code block to complete this task.

Options:

A.

to_interval("event_time", "5 minutes").alias("time")

B.

window("event_time", "5 minutes").alias("time")

C.

"event_time"

D.

window("event_time", "10 minutes").alias("time")

E.

lag("event_time", "10 minutes").alias("time")

Questions 2

A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.

The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

Options:

A.

No; Delta Lake manages streaming checkpoints in the transaction log.

B.

Yes; both of the streams can share a single checkpoint directory.

C.

No; only one stream can write to a Delta Lake table.

D.

Yes; Delta Lake supports infinite concurrent writers.

E.

No; each of the streams needs to have its own checkpoint directory.

Questions 3

Which statement describes Delta Lake Auto Compaction?

Options:

A.

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.

B.

Before a Jobs cluster terminates, optimize is executed on all tables modified during the most recent job.

C.

Optimized writes use logical partitions instead of directory partitions; because partition boundaries are only represented in metadata, fewer small files are written.

D.

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.

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.

Databricks Databricks-Certified-Professional-Data-Engineer Exam Dumps FAQs

What is the Databricks-Certified-Professional-Data-Engineer Exam?

The Databricks-Certified-Professional-Data-Engineer exam is designed to validate a candidate's expertise in data engineering, including building robust data pipelines, optimizing performance, and ensuring data quality within the Databricks ecosystem. This certification is ideal for professionals looking to enhance their data engineering skills and establish credibility in handling large-scale data workflows.

Why is Databricks-Certified-Professional-Data-Engineer Certification important for IT security professionals?

The Databricks-Certified-Professional-Data-Engineer certification is essential for IT security professionals as it enhances their data security skills, provides advanced knowledge in data engineering, and offers career advancement opportunities. It validates their ability to secure data systems and perform complex data engineering tasks, making them valuable assets in the field.

What topics are covered in the Databricks-Certified-Professional-Data-Engineer Exam?

The Databricks-Certified-Professional-Data-Engineer exam covers a broad range of topics, including data ingestion and transformation, data pipeline orchestration, performance optimization in Databricks, data governance and security, real-time data processing, and implementing ELT (Extract, Load, Transform) workflows.

How long is Databricks-Certified-Professional-Data-Engineer Exam and how many questions does it include?

The Databricks-Certified-Professional-Data-Engineer exam consists of 60 multiple-choice questions and has a time limit of 120 minutes.

What is the passing score for Databricks-Certified-Professional-Data-Engineer Exam?

The passing score for the Databricks-Certified-Professional-Data-Engineer exam is 70%.

What is the difference between Databricks Databricks-Certified-Professional-Data-Engineer and Azure-Databricks-Certified-Associate-Platform-Administrator Exams?

The Databricks Databricks-Certified-Professional-Data-Engineer and the Azure-Databricks-Certified-Associate-Platform-Administrator exams are designed for different roles and skill sets within the Databricks ecosystem.

  • Databricks Databricks-Certified-Professional-Data-Engineer Exam: The Databricks Databricks-Certified-Professional-Data-Engineer Exam focuses on advanced data engineering tasks, including data processing, data modeling, security, governance, monitoring, and deployment within the Databricks ecosystem.

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The Databricks-Certified-Professional-Data-Engineer exam costs $200 USD, though prices may vary depending on region and applicable discounts.

Is Databricks professional data engineer Certification difficult?

Yes, the Databricks Certified Professional Data Engineer certification is considered challenging due to its advanced content and extensive knowledge requirements. Proper preparation and hands-on experience are crucial for success.

What is average salary of Databricks Data-Engineer?

The average salary for a Databricks Data Engineer is $164,947 per year.

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