Summer Special Limited Time 60% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: big60

Page: 1 / 9

Databricks Certification Databricks Certified Data Engineer Professional Exam

Databricks Certified Data Engineer Professional Exam

Last Update Sep 18, 2025
Total Questions : 127

To help you prepare for the Databricks-Certified-Professional-Data-Engineer Databricks exam, we are offering free Databricks-Certified-Professional-Data-Engineer Databricks exam questions. All you need to do is sign up, provide your details, and prepare with the free Databricks-Certified-Professional-Data-Engineer practice questions. Once you have done that, you will have access to the entire pool of Databricks Certified Data Engineer Professional Exam Databricks-Certified-Professional-Data-Engineer test questions which will help you better prepare for the exam. Additionally, you can also find a range of Databricks Certified Data Engineer Professional Exam resources online to help you better understand the topics covered on the exam, such as Databricks Certified Data Engineer Professional Exam Databricks-Certified-Professional-Data-Engineer video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Databricks Databricks-Certified-Professional-Data-Engineer exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON structure.

The silver_device_recordings table will be used downstream to power several production monitoring dashboards and a production model. At present, 45 of the 100 fields are being used in at least one of these applications.

The data engineer is trying to determine the best approach for dealing with schema declaration given the highly-nested structure of the data and the numerous fields.

Which of the following accurately presents information about Delta Lake and Databricks that may impact their decision-making process?

Options:

A.  

The Tungsten encoding used by Databricks is optimized for storing string data; newly-added native support for querying JSON strings means that string types are always most efficient.

B.  

Because Delta Lake uses Parquet for data storage, data types can be easily evolved by just modifying file footer information in place.

C.  

Human labor in writing code is the largest cost associated with data engineering workloads; as such, automating table declaration logic should be a priority in all migration workloads.

D.  

Because Databricks will infer schema using types that allow all observed data to be processed, setting types manually provides greater assurance of data quality enforcement.

E.  

Schema inference and evolution on .Databricks ensure that inferred types will always accurately match the data types used by downstream systems.

Discussion 0
Questions 3

A Spark job is taking longer than expected. Using the Spark UI, a data engineer notes that the Min, Median, and Max Durations for tasks in a particular stage show the minimum and median time to complete a task as roughly the same, but the max duration for a task to be roughly 100 times as long as the minimum.

Which situation is causing increased duration of the overall job?

Options:

A.  

Task queueing resulting from improper thread pool assignment.

B.  

Spill resulting from attached volume storage being too small.

C.  

Network latency due to some cluster nodes being in different regions from the source data

D.  

Skew caused by more data being assigned to a subset of spark-partitions.

E.  

Credential validation errors while pulling data from an external system.

Discussion 0
Questions 4

A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impression led to monitizable clicks.

Questions 4

Which solution would improve the performance?

A)

Questions 4

B)

Questions 4

C)

Questions 4

D)

Questions 4

Options:

A.  

Option A

B.  

Option B

C.  

Option C

D.  

Option D

Discussion 0
River
Hey, I used Cramkey Dumps to prepare for my recent exam and I passed it.
Lewis Aug 24, 2025
Yeah, I used these dumps too. And I have to say, I was really impressed with the results.
Aliza
I used these dumps for my recent certification exam and I can say with certainty that they're absolutely valid dumps. The questions were very similar to what came up in the actual exam.
Jakub Aug 12, 2025
That's great to hear. I am going to try them soon.
Wyatt
Passed my exam… Thank you so much for your excellent Exam Dumps.
Arjun Aug 18, 2025
That sounds really useful. I'll definitely check it out.
Fatima
Hey I passed my exam. The world needs to know about it. I have never seen real exam questions on any other exam preparation resource like I saw on Cramkey Dumps.
Niamh Aug 6, 2025
That's true. Cramkey Dumps are simply the best when it comes to preparing for the certification exam. They have all the key information you need and the questions are very similar to what you'll see on the actual exam.
Vienna
I highly recommend them. They are offering exact questions that we need to prepare our exam.
Jensen Aug 17, 2025
That's great. I think I'll give Cramkey a try next time I take a certification exam. Thanks for the recommendation!
Questions 5

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.

Discussion 0

Databricks-Certified-Professional-Data-Engineer
PDF

$42  $104.99

Databricks-Certified-Professional-Data-Engineer Testing Engine

$50  $124.99

Databricks-Certified-Professional-Data-Engineer PDF + Testing Engine

$66  $164.99