Exam Name: Databricks Certified Data Engineer Professional
Certification Provider: Databricks
Corresponding Certification: Databricks Certification
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Updated: Oct 13, 2026
No. of Questions: 250 Questions & Answers with Testing Engine
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Preparing for a Databricks credential calls for material that follows the official scope. ActualVCE builds its Databricks Certified Data Engineer Professional practice set around the Certified-Data-Engineer-Professional objectives, with 250 questions designed to support a focused review.
Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Developing Code for Data Processing using Python and SQL | - Building and Testing ETL Pipelines
|
| Debugging and Deploying | - Debugging and Troubleshooting
|
| Data Modelling | - Scalable Data Models
|
| Monitoring and Alerting | - Monitoring
|
| Cost & Performance Optimisation | - Cost Optimization
|
| Ensuring Data Security and Compliance | - Data Security
|
| Data Governance | - Metadata and Discoverability
|
| Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Data Transformation, Cleansing, and Quality | - Advanced Data Transformation
|
| Data Sharing and Federation | - Delta Sharing
|
Common Questions About Databricks Certified Data Engineer Professional
The Certified-Data-Engineer-Professional exam, Databricks Certified Data Engineer Professional, assesses whether a candidate can apply Databricks knowledge to the skills measured by this credential. It is associated with the Databricks Certification certification. The certification is positioned at the Professional level. Related credentials include Databricks Certified Data Engineer Associate.
The Certified-Data-Engineer-Professional exam includes 59 scored questions questions and allows 120 minutes. Plan your pacing before exam day rather than calculating it under pressure. Timed sessions with ActualVCE practice tests can help you decide when to flag a difficult item, keep moving, and reserve enough time for a final review.
The published passing score for Databricks Certified Data Engineer Professional is Not publicly specified in the current official exam guide, and the official exam fee is USD 200, plus applicable taxes as required by local law. A retake requires budgeting for the full official fee again, so it is sensible to complete several timed practice tests before scheduling. Consistent results across the 250 practice questions can give you a clearer picture of your readiness.
The stated prerequisite information for Databricks Certified Data Engineer Professional is: No mandatory prerequisite. Databricks recommends related course attendance and approximately one year of hands-on experience performing the Data Engineering tasks covered by the exam. Before registering, review the eligibility details on the official exam page to confirm the requirements.
Yes. ActualVCE provides a free PDF demo so you can review the format and quality of the Databricks Certified Data Engineer Professional practice questions before placing an order. Your purchase includes 365 days of free updates, and you can extend the update service after expiration at a 50% discount.
If you take the corresponding Certified-Data-Engineer-Professional exam within 60 days of purchase and do not pass, you may apply for a full refund under the 100% Money Back Guarantee. Claims based on an exam taken within 3 days of purchase are not eligible; free materials, expired orders, and downloaded products that were not used before sitting for the exam are also excluded. The candidate name must match the payer name.
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The published Databricks Certified Data Engineer Professional outline contains 10 major domains. The opening domains include:
- Data Ingestion & Acquisition (official weight not provided)
- Developing Code for Data Processing using Python and SQL (official weight not provided)
- Cost & Performance Optimisation (official weight not provided)
Review the complete Exam Topics section above for every domain and subtopic before planning your study time.
Databricks Certified Data Engineer Professional Sample Questions:
A data engineer is analyzing transactional data in a PySpark DataFrame df containing customer_id, transaction_timestamp (precise to milliseconds), and amount_spent. The objective is to compute a cumulative sum of amount_spent per customer, strictly ordered by transaction_timestamp. The cumulative sum must include all transactions from the earliest timestamp up to and including the current row, respecting temporal ordering within each customer partition. Which PySpark code snippet most accurately constructs the appropriate window specification and applies the aggregation to yield the correct cumulative expenditure per customer?
- A.
- B.
- C.
- D.
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
A data engineer is analyzing a large, partitioned retail dataset in Databricks, where each row represents a sale made by a salesperson. The dataset contains millions of records with the following schema:
sales_df: [salesperson_id: string, region: string, sale_amount: double, sale_date: date] The data engineer needs to generate a DataFrame that ranks salespeople within each region based on their total cumulative sales, with the highest seller ranked as 1. If multiple salespeople have the same total sales, they should share the same rank.
The data engineer wants to implement this logic using a PySpark window function and the dense_rank () function.
Which code snippet will perform this ranking?
- A.
- B.
- C.
- D.
Correct Answer: C 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
A query is taking too long to run. After investigating the Spark UI, the data engineer discovered a significant amount of disk spill. The compute instance being used has a core-to-memory ratio of
1:2. What are the two steps the data engineer should take to minimize spillage? (Choose two.)
- A. Increase spark.sql.files.maxPartitionBytes.
- B. Choose a compute instance with more network bandwidth.
- C. Choose a compute instance with more disk space.
- D. Choose a compute instance with a higher core-to-memory ratio.
- E. Reduce spark.sql.files.maxPartitionBytes.
Correct Answer: D,E 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. A data engineer has been asked to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing. Which role must be in place to perform these actions across the metastore?
- A. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
- B. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
- C. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
- D. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.
Correct Answer: A 🗳️
The marketing team is looking to share data in an aggregate table with the sales organization, but the field names used by the teams do not match, and a number of marketing specific fields have not been approval for the sales org.
Which of the following solutions addresses the situation while emphasizing simplicity?
- A. Create a new table with the required schema and use Delta Lake's DEEP CLONE functionality to sync up changes committed to one table to the corresponding table.
- B. Add a parallel table write to the current production pipeline, updating a new sales table that varies as required from marketing table.
- C. Create a view on the marketing table selecting only these fields approved for the sales team alias the names of any fields that should be standardized to the sales naming conventions.
- D. Use a CTAS statement to create a derivative table from the marketing table configure a production jon to propagation changes.
- E. Instruct the marketing team to download results as a CSV and email them to the sales organization.
Correct Answer: C 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
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