Databricks Certification Databricks-Certified-Data-Engineer-Professional

Certification exams change, and Getcertkey keeps pace: the Databricks-Certified-Data-Engineer-Professional practice question set is reviewed continuously and updated free of charge for 365 days. Your Databricks Certified Data Engineer Professional preparation stays aligned with the current exam throughout 2026 and beyond.

Databricks Databricks-Certified-Data-Engineer-Professional Exam Overview:

Certification Vendor:	Databricks
Exam Name:	Databricks Certified Data Engineer Professional Exam
Exam Number:	Databricks-Certified-Data-Engineer-Professional
Available Languages:	English
Related Certifications:	Databricks Certified Data Engineer Associate
Passing Score:	70%
Real Exam Qty:	45-60
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Scenario-based questions, Proctored online exam, Multiple choice
Exam Price:	$200 USD
Recommended Training:	Delta Lake Fundamentals Databricks Data Engineer Learning Path
Exam Registration:	Databricks Academy Databricks Certification Portal
Sample Questions:
Exam Way:	Online proctored exam via Databricks certification platform
Pre Condition:	Recommended: Databricks Certified Data Engineer Associate or equivalent hands-on experience with Spark and Delta Lake
Official Syllabus URL:	https://www.databricks.com/learn/certification/data-engineer-professional

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

Common Questions About the Databricks Databricks-Certified-Data-Engineer-Professional Exam

What is the Databricks Certified Data Engineer Professional exam all about?

The Databricks-Certified-Data-Engineer-Professional exam is the official Databricks exam behind the Databricks Certified Data Engineer Professional certification, validating the skills measured by the Databricks Certified Data Engineer Professional credential. It sits at the Professional level of the Databricks certification program. It also connects to Databricks Certified Data Engineer Associate, so the knowledge you build here carries over to those tracks as well.

How many questions are on the Databricks-Certified-Data-Engineer-Professional exam, and how much time do I get?

The Databricks-Certified-Data-Engineer-Professional exam contains 45-60 questions to be completed within 120 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.

What score do I need to pass the Databricks-Certified-Data-Engineer-Professional exam, and what does it cost?

The passing score for the Databricks-Certified-Data-Engineer-Professional exam is 70%, and the official registration fee is $200 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 250 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.

Are there any prerequisites for the Databricks-Certified-Data-Engineer-Professional exam?

Recommended: Databricks Certified Data Engineer Associate or equivalent hands-on experience with Spark and Delta Lake Requirements can change when Databricks revises its certification program, so confirm the current eligibility rules on the official exam page before you register.

How do I register for the Databricks-Certified-Data-Engineer-Professional exam?

You can book the Databricks Certified Data Engineer Professional exam through the official registration channels below:

• Databricks Certification Portal
• Databricks Academy

As for delivery, the exam is offered in the following format: Online proctored exam via Databricks certification platform. Choose the option that suits you best when you book your seat.

What official training is recommended for the Databricks-Certified-Data-Engineer-Professional exam?

Databricks recommends the following training resources for the Databricks Certified Data Engineer Professional exam:

• Databricks Data Engineer Learning Path
• Delta Lake Fundamentals

Official courses build the foundation; the 250 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.

Can I try the Databricks-Certified-Data-Engineer-Professional practice questions before I buy?

Yes. Getcertkey provides a free Databricks-Certified-Data-Engineer-Professional PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Databricks revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.

What if I fail the Databricks-Certified-Data-Engineer-Professional exam, and how is my order delivered?

Every Databricks Certified Data Engineer Professional purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.

Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.

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

The Databricks Certified Data Engineer Professional exam blueprint is organized into 5 domains. The first three are:

• Data Modeling and Transformation
• Data Ingestion and Processing
• Delta Lake and Data Management

For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.

Databricks Certified Data Engineer Professional Sample Questions:

Question #1

A data engineering team needs to create a SQL Alert that monitors data quality across multiple columns in their customer table. They want to trigger an alert when both the percentage of customers with missing email addresses exceeds 15% AND the percentage of customers with invalid phone number formats exceeds 10%. Which SQL query pattern is appropriate for implementing this multi-column alert condition?

A. SELECT COUNT (*) FROM customers WHERE email IS NULL OR phone_format_invalid = true
B. SELECT email_null_pct, phone_invalid_pct FROM (SELECT (COUNT(CASE WHEN email IS NULL THEN 1 END) *
100.0/COUNT (*)) as email_null_pct, (COUNT(CASE WHEN phone NOT RLIKE ''[0-9-+()\\s]+$' THEN 1 END)*
100.0/COUNT (*)) as phone_invalid_pct FROM customers)
C. SELECT CASE WHEN email_null_pct >15 AND phone_invalid_pct> 10 THEN 1 ELSE 0 END FROM (SELECT (COUNT (CASE WHEN email IS NULL THEN 1 END) * 100.0 / COUNT (*)) as phone_invalid_pct FROM customers) metrics
D. SELECT email, phone FROM customers WHERE email IS NULL AND phone NOT RLIKE ''[0-9-
+()\\s]+$'

Question #2

The following code has been migrated to a Databricks notebook from a legacy workload:

The code executes successfully and provides the logically correct results, however, it takes over
20 minutes to extract and load around 1 GB of data.
Which statement is a possible explanation for this behavior?

A. %sh triggers a cluster restart to collect and install Git. Most of the latency is related to cluster startup time.
B. %sh executes shell code on the driver node. The code does not take advantage of the worker nodes or Databricks optimized Spark.
C. Instead of cloning, the code should use %sh pip install so that the Python code can get executed in parallel across all nodes in a cluster.
D. %sh does not distribute file moving operations; the final line of code should be updated to use %fs instead.
E. Python will always execute slower than Scala on Databricks. The run.py script should be refactored to Scala.

Question #3

The data governance team is reviewing code used for deleting records for compliance with GDPR. They note the following logic is used to delete records from the Delta Lake table named users.

Assuming that user_id is a unique identifying key and that delete_requests contains all users that have requested deletion, which statement describes whether successfully executing the above logic guarantees that the records to be deleted are no longer accessible and why?

A. Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.
B. No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.
C. No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.
D. No; the Delta cache may return records from previous versions of the table until the cluster is restarted.
E. Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.

Question #4

A data governance team at a large enterprise is improving data discoverability across its organization. The team has hundreds of tables in their Databricks Lakehouse with thousands of columns that lack proper documentation. Many of these tables were created by different teams over several years, with missing context about column meanings and business logic. The data governance team needs to quickly generate comprehensive column descriptions for all existing tables to meet compliance requirements and improve data literacy across the organization. They want to leverage modern capabilities to automatically generate meaningful descriptions rather than manually documenting each column, which would take months to complete. Which approach should the team use in Databricks to automatically generate column comments and descriptions for existing tables?

A. Navigate to the table in Databricks Catalog Explorer, select the table schema view, and use the AI Generate option which leverages artificial intelligence to automatically create meaningful column descriptions based on column names, data types, sample values, and data patterns.
B. Write custom PySpark code using df.describe() and df.schema to programmatically generate basic statistical descriptions for each column.
C. Use Delta Lake's DESCRIBE HISTORY command to analyze table evolution and infer column purposes from historical changes.
D. Use the DESCRIBE TABLE command to extract existing schema information and manually write descriptions based on column names and data types.

Question #5

Spill occurs as a result of executing various wide transformations. However, diagnosing spill requires one to proactively look for key indicators.
Where in the Spark UI are two of the primary indicators that a partition is spilling to disk?

A. Stage's detail screen and Executor's log files
B. Query's detail screen and Job's detail screen
C. Driver's and Executor's log files
D. Stage's detail screen and Query's detail screen
E. Executor's detail screen and Executor's log files

Solutions: