The Databricks Certified Professional Data Engineer exam has a reputation for tripping up even experienced candidates. Working through 217 realistic practice questions from ActualCollection exposes your weak spots before exam day does.
Databricks Databricks-Certified-Professional-Data-Engineer Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Professional Data Engineer Exam |
| Exam Number: | Databricks-Certified-Professional-Data-Engineer |
| Exam Format: | Multiple Choice |
| Exam Price: | USD 200 |
| Available Languages: | Portuguese (Brazil), Japanese, English, Korean |
| Related Certifications: | Databricks Certified Associate Data Engineer |
| Real Exam Qty: | 59 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Passing Score: | 70% |
| Recommended Training: | Databricks Data Engineer Professional Training |
| Exam Registration: | Databricks Official Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored or onsite test center |
| Pre Condition: | No mandatory prerequisites; 1+ year hands-on experience and related training highly recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-professional |
Databricks Databricks-Certified-Professional-Data-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Sharing and Federation | 5% | - Unity Catalog data sharing - Cross-workspace and cross-cloud access |
| Monitoring and Alerting | 10% | - Performance and health monitoring - Pipeline observability and logging - Setting up alerts and notifications |
| Ensuring Data Security and Compliance | 10% | - Data encryption and masking - Access control and permissions - Compliance standards implementation |
| Debugging and Deploying | 10% | - Troubleshooting pipelines and errors - Deployment using bundles, CLI, and APIs - CI/CD and DevOps practices |
| Data Modelling | 6% | - Schema design and management - Delta Lake table design - Medallion Architecture implementation |
| Developing Code for Data Processing using Python and SQL | 22% | - Batch and incremental processing logic - Integration with Databricks APIs and tools - Data transformation and aggregation |
| Data Transformation, Cleansing, and Quality | 10% | - Data validation and quality checks - Handling missing or inconsistent data - Standardization and normalization |
| Data Ingestion & Acquisition | 7% | - Connecting to diverse data sources - Auto Loader and streaming ingestion - Schema inference and evolution |
| Data Governance | 7% | - Data lineage and metadata tracking - Policy enforcement - Unity Catalog management |
| Cost & Performance Optimisation | 13% | - Storage optimization (partitioning, Z-order, indexing) - Query optimization and caching - Cluster configuration and scaling |
Common Questions About the Databricks Certified Professional Data Engineer Exam
The Databricks Certified Professional Data Engineer exam is the official Databricks test registered under exam code Databricks-Certified-Professional-Data-Engineer. Passing it earns you the Databricks Certified Professional Data Engineer certification, a credential at the Professional level. It is also linked to the related certification: Databricks Certified Associate Data Engineer. Databricks exams are valued because they test job-ready skills, so a passing score here carries real weight on a resume.
The Databricks Certified Professional Data Engineer exam includes 59 questions to be completed within 120 minutes. Do the pacing math before exam day: with that many items on the clock, you need a steady rhythm and the discipline to flag a hard question and move on instead of stalling. Two or three full timed sessions with the ActualCollection test engine will show you exactly what that pace feels like, so time pressure stops being a factor on the real day.
To pass the Databricks Certified Professional Data Engineer exam you need 70%, and the official registration fee is USD 200. A retake is not discounted: a failed attempt means paying the full USD 200 again, so treat your first sitting as the expensive one. A sensible rule is to book your seat only after you are scoring comfortably above the passing mark on the ActualCollection practice tests, not just squeaking past it once.
No mandatory prerequisites; 1+ year hands-on experience and related training highly recommended
Eligibility rules do change from time to time, so confirm the current requirements before you register on the official exam page.
Registration for the Databricks Certified Professional Data Engineer exam goes through the official channels below.
As for the delivery format, the exam is taken Online proctored or onsite test center.
Databricks points candidates toward the following training options for Databricks Certified Professional Data Engineer.
Course work builds the foundation; question practice makes it stick. The 217 practice questions in the ActualCollection Databricks-Certified-Professional-Data-Engineer package let you rehearse each topic under exam-style pressure before the real thing.
Yes. ActualCollection offers a free PDF demo of the Databricks Certified Professional Data Engineer material so you can judge the question quality and format before spending anything. After purchase, your license includes 365 days of free updates, and if you want to keep receiving updates after that period, renewals are available at a 50% discount.
If you take the Databricks Certified Professional Data Engineer exam within 60 days of your purchase and do not pass, ActualCollection backs you with a 100% money-back guarantee. The claim must match the exam your product covers: attempts taken within 3 days of purchase are not eligible (that is too little preparation time), and neither are downloaded-but-unused products, free materials, or expired orders. The candidate name must match the payer name, and you need to submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Prefer not to refund? You can swap instead and receive two other exam products of equal value for free while keeping the update service on your original purchase.
Delivery itself is instant: your files are downloadable right away and emailed to you within one minute of payment. If nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you may install the software on.
The official Databricks Certified Professional Data Engineer syllabus is organized into 10 domains. Key areas include Debugging and Deploying (10%), Developing Code for Data Processing using Python and SQL (22%), and Monitoring and Alerting (10%). The complete, up-to-date topic list appears in the exam topics section above; work through it line by line and flag anything you cannot yet explain in your own words.
Databricks Certified Professional Data Engineer Sample Questions:
A data engineer wants to automate job monitoring and recovery in Databricks using the Jobs API. They need to list all jobs, identify a failed job, and rerun it.
Which sequence of API actions should the data engineer perform?
- A. Use the jobs/list endpoint to list jobs, then use the jobs/create endpoint to create a new job, and run the new job using jobs/run-now.
- B. Use the jobs/list endpoint to list jobs, check job run statuses with jobs/runs/list, and rerun a failed job using jobs/run-now.
- C. Use the jobs/cancel endpoint to remove failed jobs, then recreate them with jobs/create and run the new ones.
- D. Use the jobs/get endpoint to retrieve job details, then use jobs/update to rerun failed jobs.
Correct Answer: B 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A senior data engineer is planning large-scale data workflows. The task is to identify the considerations that form a foundation for creating scalable data models for managing large datasets. The team has listed Delta Lake capabilities and wants to determine which feature should not be considered as a core factor.
Which key feature can be ignored while evaluating Delta Lake?
- A. Delta Lake works with various data formats (Parquet, JSON, CSV) and integrates well with Spark and Databricks tools.
- B. Delta Lake provides limited support for monitoring and troubleshooting data pipelines, so relevant partner tools have to be identified and set up for enhanced operational efficiency.
- C. Delta Lake's ability to process data in both batch and streaming modes seamlessly, providing flexibility in ingestion and processing.
- D. Delta Lake optimizes metadata handling, efficiently managing billions of files and facilitating scalability to petabyte-scale datasets.
Correct Answer: B 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:
A batch job is attempting to insert new records to the table, including a record where latitude = 45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?
- A. The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
- B. The write will fail completely because of the constraint violation and no records will be inserted into the target table.
- C. The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
- D. The write will insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
- E. The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.
Correct Answer: B 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A Delta Lake table representing metadata about content posts from users has the following schema:
* user_id LONG
* post_text STRING
* post_id STRING
* longitude FLOAT
* latitude FLOAT
* post_time TIMESTAMP
* date DATE
Based on the above schema, which column is a good candidate for partitioning the Delta Table?
- A. post_time
- B. post_id
- C. user_id
- D. date
Correct Answer: D 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
Which Python variable contains a list of directories to be searched when trying to locate required modules?
- A. os-path
- B. pypi.path
- C. ,sys.path
- D. pylib.source
- E. importlib.resource path
Correct Answer: C 🗳️
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