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| Section | Weight | Objectives |
|---|---|---|
| Debugging and Deploying | 10% | - Implement CI/CD and DevOps practices - Deploy using Asset Bundles, CLI, and APIs - Troubleshoot and debug pipelines |
| Cost & Performance Optimisation | 13% | - Optimize compute and storage resources - Apply cost management best practices - Improve query and pipeline performance |
| Data Modelling | 6% | - Design Medallion Architecture - Optimize table design and partitioning - Implement dimensional and relational models |
| Data Sharing and Federation | 5% | - Manage cross-platform data access - Use Delta Sharing for secure data sharing - Implement Lakehouse Federation |
| Data Transformation, Cleansing, and Quality | 10% | - Implement schema evolution and management - Enforce data quality standards - Apply data cleansing and validation rules |
| Ensuring Data Security and Compliance | 10% | - Ensure data privacy and compliance - Implement access control and permissions - Secure data at rest and in transit |
| Data Ingestion & Acquisition | 7% | - Handle incremental and batch data loads - Ingest data from diverse sources - Use Auto Loader and structured streaming |
| Monitoring and Alerting | 10% | - Track data lineage and metrics - Monitor pipeline performance and health - Set up alerts and notifications |
| Developing Code for Data Processing using Python and SQL | 22% | - Use Databricks-specific libraries and APIs - Write efficient and maintainable code - Implement complex data processing logic |
| Data Governance | 7% | - Use Unity Catalog for governance - Manage data assets and metadata - Enforce data policies and standards |
The Databricks-Certified-Data-Engineer-Professional exam is Databricks's formal test for the Databricks Certified Data Engineer Professional certification, a credential at the Professional level. It verifies that you can apply the Databricks Certified Data Engineer Professional objectives in realistic, scenario-driven situations — the difference between having read about the work and being able to do it. It also connects to a broader certification path covering Databricks Certified Data Engineer Associate, so the study effort compounds beyond a single exam. That is why preparing through realistic questions beats re-reading chapters every time.
The Databricks Certified Data Engineer Professional blueprint spans 10 domains, led by Data Transformation, Cleansing, and Quality (10%), Data Governance (7%), and Data Ingestion & Acquisition (7%). Treat the percentages as a study budget: the heavier the domain, the larger its share of your week. The complete topic list sits in the exam topics section above — build your plan on it, not on guesswork.
The Databricks Certified Data Engineer Professional exam packs 59-60 questions into 120 minutes. Turn that ratio into a plan before test day: minutes divided by questions gives your per-item budget, and anything consuming double its budget gets marked and revisited at the end. Practice the rhythm against a real timer — every ITExamDownload engine session enforces one — until finishing with spare review time is your default.
Databricks Certified Data Engineer Professional requires Not publicly disclosed to pass, and every attempt costs USD 200 — retakes included, at full price. The smart economics are simple: drill with ITExamDownload practice questions until your timed scores clear the mark across several consecutive sessions, then book the seat. Over-preparation is cheaper than re-registration.
Databricks lists the Databricks Certified Data Engineer Professional question formats as: Multiple choice. Format shapes strategy — locate the actual question sentence inside long scenario stems before reading details, and double-check every selection on multi-answer items. ITExamDownload's 250 practice questions exercise these formats so thoroughly that on exam day, only the content is unfamiliar.
You can sit the Databricks-Certified-Data-Engineer-Professional exam in English, Japanese, Portuguese (Brazil), Korean. Choose whichever language keeps your comprehension fastest under the clock — slow reading is a hidden tax on every question. Testing in English? Daily sessions with ITExamDownload's English Databricks-Certified-Data-Engineer-Professional practice questions double as focused terminology training.
The certification earned through the Databricks Certified Data Engineer Professional exam stays valid for 2 years. Put the expiry date on your calendar the day you pass, and research the recertification path before it looms — a planned renewal is an errand, while an expired credential is a project. Databricks sets these policies, so verify the current rules on the official certification page as your window approaches.
All three versions carry the same 250 expert-written questions — you are choosing a study environment, not a content tier:
Plenty of candidates mix formats — the PDF for reading, an engine for timed rehearsal.
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A data engineer wants to create a cluster using the Databricks CLI for a big ETL pipeline. The cluster should have five workers, one driver of type i3.xlarge, and should use the '14.3.x- scala2.12' runtime. Which command should the data engineer use?
Correct Answer: D 🗳️
Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).
A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON structure.
The silver_device_recordings table will be used downstream to power several production monitoring dashboards and a production model. At present, 45 of the 100 fields are being used in at least one of these applications.
The data engineer is trying to determine the best approach for dealing with schema declaration given the highly-nested structure of the data and the numerous fields.
Which of the following accurately presents information about Delta Lake and Databricks that may impact their decision-making process?
Correct Answer: B 🗳️
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A data engineer is configuring Delta Sharing for a Databricks-to-Databricks scenario to optimize read performance. The recipient needs to perform time travel queries and streaming reads on shared sales data. Which configuration will provide the optimal performance while enabling these capabilities?
Correct Answer: C 🗳️
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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?
Correct Answer: C 🗳️
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The data engineer team has been tasked with configured connections to an external database that does not have a supported native connector with Databricks. The external database already has data security configured by group membership. These groups map directly to user group already created in Databricks that represent various teams within the company. A new login credential has been created for each group in the external database. The Databricks Utilities Secrets module will be used to make these credentials available to Databricks users. Assuming that all the credentials are configured correctly on the external database and group membership is properly configured on Databricks, which statement describes how teams can be granted the minimum necessary access to using these credentials?
Correct Answer: C 🗳️
Explanation: Only visible for ITExamDownload members. You can sign-up / login (it's free).
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