Last Updated: Sep 02, 2026
No. of Questions: 250 Questions & Answers with Testing Engine
Download Limit: Unlimited
Our Online Test Engine & Self Test Software of TestSimulate Certified-Data-Engineer-Professional actual study materials can simulate the exam scene so that you will have a good command of writing speed and time. Then multiple practices make you perfect while in the real Databricks Certified-Data-Engineer-Professional exam. The package practice version will not only provide you high-quality Certified-Data-Engineer-Professional exam preparation materials but also various studying ways.
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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional |
| Exam Number: | Certified-Data-Engineer-Professional |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 59 scored multiple-choice questions |
| Exam Price: | USD 200 plus applicable taxes |
| Exam Format: | Online proctored, Test center proctored, Multiple-choice questions |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Available Languages: | English |
| Recommended Training: | Advanced Data Engineering with Databricks Databricks Academy |
| Exam Registration: | Databricks Certified Data Engineer Professional Certification |
| Sample Questions: | Databricks Certified-Data-Engineer-Professional Sample Questions |
| Exam Way: | Online proctored or test center proctored |
| Pre Condition: | No prerequisite is required. Related course attendance and one year of hands-on experience in data engineering tasks covered by the exam are highly recommended. |
| Official Syllabus URL: | https://www.databricks.com/sites/default/files/2025-11/databricks-certified-data-engineer-professional-exam-guide-november-30-2025.pdf |
| Section | Objectives |
|---|---|
| Topic 1: Monitoring and Alerting | - Alerting
|
| Topic 2: Debugging and Deploying | - Deploying CI/CD
|
| Topic 3: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 4: Data Governance | - Govern enterprise data
|
| Topic 5: Data Sharing and Federation | - Share and federate data
|
| Topic 6: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
| Topic 7: Data Transformation, Cleansing, and Quality | - Transform and validate data
|
| Topic 8: Cost & Performance Optimization | - Optimize cost and performance
|
| Topic 9: Data Modeling | - Design and optimize data models
|
| Topic 10: Ensuring Data Security and Compliance | - Applying Data Security Mechanisms
|
The Certified-Data-Engineer-Professional exam, officially titled Databricks Certified Data Engineer Professional, is the qualifying exam for the Databricks Certified Data Engineer Professional certification, which sits at the Professional level. Earning it shows employers that you have the skills the credential stands for, and it is a solid step forward on a Databricks career path. It also connects to Databricks Certified Data Engineer Associate, so the effort you put in now keeps paying off as you advance.
The Certified-Data-Engineer-Professional exam gives you 59 scored multiple-choice questions questions to complete within 120 minutes. Do the math before exam day: divide the total time by the question count to set a steady per-question pace, and flag any item that stalls you so you can return to it after securing the easier points. The most reliable way to build that rhythm is a full timed practice test under the same limit, which is exactly what TestSimulate's test engines are designed for.
According to the official requirements: No prerequisite is required. Related course attendance and one year of hands-on experience in data engineering tasks covered by the exam are highly recommended.. Eligibility rules do change from time to time, so confirm the current details on the official exam page before you register.
Registration for the Certified-Data-Engineer-Professional exam is handled through the official channels below:
The exam is delivered in the following format: Online proctored or test center proctored. Pick a date that leaves room for at least one full timed practice test beforehand.
Databricks recommends the following official training options for candidates preparing for Databricks Certified Data Engineer Professional:
Courses build the foundation, but they work best alongside question practice. That is where TestSimulate comes in: the 250 practice questions in our Certified-Data-Engineer-Professional package let you rehearse the exam format at your own pace and see exactly where you stand.
Yes — TestSimulate offers a free PDF demo of the Databricks Certified Data Engineer Professional material, so you can review the question style and answer quality before you spend anything. After purchase, you also receive 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
If you take the corresponding exam within 60 days of your purchase and do not pass, you are covered by the 100% Money Back Guarantee under clear conditions. To claim a full refund, submit a scan of your exam enrollment slip and your official Score Report PDF within two days of the exam; requests are processed within seven days. Note that sitting the exam within three days of purchase is not eligible, purchases that were never followed by an exam sitting do not qualify, free materials and expired orders are excluded, and the candidate name must match the payer name. Prefer an exchange instead? You can swap your product for two free exam packages of equal value and keep your update service. Delivery is immediate: your Certified-Data-Engineer-Professional material is ready for instant download and is also emailed to you within one minute of payment — contact customer service if nothing arrives within two hours. There is no limit on the number of computers you can install it on.
The current Databricks Certified Data Engineer Professional syllabus is organized into 10 exam domains. The first three are:
For the full domain and subtopic breakdown, see the Exam Topics section above — that is the outline your TestSimulate practice questions are mapped to.
Question 1
A view is registered with the following code:
Both users and orders are Delta Lake tables.
Which statement describes the results of querying recent_orders?
A. Results will be computed and cached when the view is defined; these cached results will incrementally update as new records are inserted into source tables.
B. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.
C. All logic will execute when the view is defined and store the result of joining tables to the DBFS; this stored data will be returned when the view is queried.
D. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
Question 2
A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source.
That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months.
Which describes how Delta Lake can help to avoid data loss of this nature in the future?
A. Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.
B. The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.
C. Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.
D. Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.
E. Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.
Question 3
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/get endpoint to retrieve job details, then use jobs/update to rerun failed jobs.
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/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.
Question 4
A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing. How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?
A. Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.
B. Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
C. Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
D. Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.
Question 5
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. No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.
B. No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.
C. Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.
D. Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.
E. No; the Delta cache may return records from previous versions of the table until the cluster is restarted.
Solutions:
| Question 1 Answer: B | Question 2 Answer: E | Question 3 Answer: B | Question 4 Answer: C | Question 5 Answer: A |
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