Prepare with Databricks : Databricks-Certified-Data-Engineer-Professional exam braindumps as your best preparation materials
Last Updated: Oct 16, 2026
No. of Questions: 250 Questions & Answers with Testing Engine
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No time for long classes before the Databricks-Certified-Data-Engineer-Professional exam? You are exactly who BraindumpQuiz serves: 250+ Q&As covering the Databricks Certified Data Engineer Professional objectives, current for 2026, engineered to grasp the knowledge points efficiently.
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 |
| Passing Score: | Not publicly disclosed |
| Exam Format: | Multiple choice |
| Real Exam Qty: | 59-60 |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Exam Price: | USD 200 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Available Languages: | Korean, Portuguese (Brazil), English, Japanese |
| Recommended Training: | Advanced Data Engineering with Databricks Databricks Streaming and Lakeflow Spark Declarative Pipelines |
| Exam Registration: | Databricks Certification Exam Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or in-person test center |
| Pre Condition: | No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-professional |
Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Sharing and Federation | 5% | - Use Delta Sharing for secure data sharing - Implement Lakehouse Federation - Manage cross-platform data access |
| Topic 2: Data Ingestion & Acquisition | 7% | - Ingest data from diverse sources - Use Auto Loader and structured streaming - Handle incremental and batch data loads |
| Topic 3: Developing Code for Data Processing using Python and SQL | 22% | - Use Databricks-specific libraries and APIs - Implement complex data processing logic - Write efficient and maintainable code |
| Topic 4: Data Modelling | 6% | - Design Medallion Architecture - Optimize table design and partitioning - Implement dimensional and relational models |
| Topic 5: Debugging and Deploying | 10% | - Implement CI/CD and DevOps practices - Troubleshoot and debug pipelines - Deploy using Asset Bundles, CLI, and APIs |
| Topic 6: Monitoring and Alerting | 10% | - Set up alerts and notifications - Monitor pipeline performance and health - Track data lineage and metrics |
| Topic 7: Cost & Performance Optimisation | 13% | - Apply cost management best practices - Optimize compute and storage resources - Improve query and pipeline performance |
| Topic 8: Data Governance | 7% | - Enforce data policies and standards - Use Unity Catalog for governance - Manage data assets and metadata |
| Topic 9: Data Transformation, Cleansing, and Quality | 10% | - Implement schema evolution and management - Apply data cleansing and validation rules - Enforce data quality standards |
| Topic 10: Ensuring Data Security and Compliance | 10% | - Ensure data privacy and compliance - Secure data at rest and in transit - Implement access control and permissions |
Databricks Certified Data Engineer Professional Exam FAQ: Before You Commit
The Databricks-Certified-Data-Engineer-Professional exam is Databricks's official certification test — passing it earns the Databricks Certified Data Engineer Professional credential at the Professional level. It demands genuine, working knowledge rather than theory alone, which is why candidates who prepare casually tend to stumble. It also feeds into related credentials such as Databricks Certified Data Engineer Associate, extending its value beyond one certificate.
Protection and delivery, both in writing. Delivery: the Databricks-Certified-Data-Engineer-Professional product reaches your mailbox within one minute of payment; if nothing arrives within 2 hours, check spam and contact support for an immediate resend. Refund: sit the corresponding Databricks-Certified-Data-Engineer-Professional exam within 60 days of purchase, and if you fail, apply with a scanned enrollment slip and the official Score Report PDF within 2 days after the exam — refunds complete within 7 days. The policy covers the corresponding exam only; attempts within 3 days of purchase, exams never actually taken, free materials, and expired orders are excluded, and the candidate name must match the payer name. Prefer to keep going? Exchange your product for two free exam products of equal value instead — the update service on your original purchase stays active.
Databricks recommends these training options:
- Advanced Data Engineering with Databricks
- Databricks Streaming and Lakeflow Spark Declarative Pipelines
Formal training fills the gaps; the 250 practice questions for the Databricks-Certified-Data-Engineer-Professional exam from BraindumpQuiz then sharpen them into exam-ready skill.
The Databricks Certified Data Engineer Professional exam costs USD 200 per attempt, with Not publicly disclosed as the passing mark. Fail, and USD 200 is payable again — the price of walking in half-prepared. A practical safeguard: practice with BraindumpQuiz until your timed mock results clear Not publicly disclosed comfortably, then book the Databricks-Certified-Data-Engineer-Professional exam.
Booking runs through Databricks's official channels:
Note that delivery of the exam itself is via Online proctored or in-person test center.
No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended Eligibility requirements come from Databricks and can be revised, so confirm the current rules on the official exam page: https://www.databricks.com/learn/certification/data-engineer-professional before committing to a Databricks Certified Data Engineer Professional registration.
The Databricks Certified Data Engineer Professional exam is organized into 10 knowledge areas, with Data Governance (7%), Data Modelling (6%), Data Sharing and Federation (5%) among the most significant. Allocate study time to match those weights, and see the outline section above for the complete list.
59-60 questions in 120 minutes — that is the Databricks Certified Data Engineer Professional exam in numbers. The per-question budget is tight, and hesitation is what eats it. Train the pace deliberately: run full timed simulations in the BraindumpQuiz engine, practice committing to an answer and moving on, and the real Databricks-Certified-Data-Engineer-Professional exam will feel familiar instead of frantic.
You can — the BraindumpQuiz free demo covers the Databricks Certified Data Engineer Professional material, so download some sample questions and answers first and judge quality yourself. Once you buy, 365 days of free updates are included; after that period, extend the update service at a 50% discount from your member zone.
Databricks Certified Data Engineer Professional Sample Questions:
The data science team has requested assistance in accelerating queries on free form text from user reviews. The data is currently stored in Parquet with the below schema:
item_id INT, user_id INT, review_id INT, rating FLOAT, review STRING
The review column contains the full text of the review left by the user. Specifically, the data science team is looking to identify if any of 30 key words exist in this field.
A junior data engineer suggests converting this data to Delta Lake will improve query performance.
Which response to the junior data engineer's suggestion is correct?
- A. ZORDER ON review will need to be run to see performance gains.
- B. The Delta log creates a term matrix for free text fields to support selective filtering.
- C. Delta Lake statistics are only collected on the first 4 columns in a table.
- D. Text data cannot be stored with Delta Lake.
- E. Delta Lake statistics are not optimized for free text fields with high cardinality.
Correct Answer: E 🗳️
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The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?
- A. The globally unique ID of the newly triggered run.
- B. The number of times the job definition has been run in the workspace.
- C. The total number of jobs that have been run in the workspace.
- D. The job_id is returned in this field.
- E. The job_id and number of times the job has been are concatenated and returned.
Correct Answer: A 🗳️
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A platform team lead is responsible for automating the individual teams attribution towards SQL Warehouse usage. The requirement is to identify the SQL warehouse usage at the individual user's level and generate a daily report to be shared with an executive team that includes leaders from all business units. How should the platform lead generate an automated report that can be shared daily?
- A. Restrict users from running any SQL query unless they provide all the query details so that the attribution can be calculated and shared with the executive team.
- B. Use the system tables to capture the audit and billing usage data and create a dashboard with daily refresh schedules and shared with the executive team.
- C. Let the users run the SQL query and then directly report the usage to the executives. The ownership of the SQL warehouse usage will be with the individual teams.
- D. Use the system tables to capture the audit and billing usage data and share the queries with the executive team. This enables the executives to execute the query and see the latest results any time.
Correct Answer: B 🗳️
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A data engineer has configured their Databricks Asset Bundle with multiple targets in databricks.yml and deployed it to the production workspace. Now, to validate the deployment, they need to invoke a job named my_project_job specifically within the prod target context.
Assuming the job is already deployed, they need to trigger its execution while ensuring the target- specific configuration is respected. Which command will trigger the job execution?
- A. databricks run my_project_job -t prod
- B. databricks job run my_project_job --env prod
- C. databricks bundle run my_project_job -t prod
- D. databricks execute my_project_job -e prod
Correct Answer: C 🗳️
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A data engineer is working in an interactive notebook with many transformations before outputting the result from display(df.collect() ). The notebook includes wide transformations and a cross join.
The data engineer is getting the following error: "The spark driver has stopped unexpectedly and is restarting. Your notebook will be automatically reattached." Which action should the data engineer take?
- A. Look at the compute metrics UI to see if the executors have higher than 90% memory utilization.
- B. Check into the Spark UI to see how many jobs are assigned to each stage as they are employing fewer executors.
- C. Run the notebook on a single node cluster to keep driver from falling.
- D. Rewrite their code to avoid putting memory pressure on the driver node.
Correct Answer: D 🗳️
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