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Instant Download Databricks : Certified-Data-Engineer-Professional Questions & Answers as PDF & Test Engine
- Exam Code: Certified-Data-Engineer-Professional
- Exam Name: Databricks Certified Data Engineer Professional
- Updated: Oct 10, 2026
- No. of Questions: 250 Questions and Answers
- Download Limit: Unlimited
Price: $69.98
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Do you want valid practice questions that let you master the key knowledge quickly? The Certified-Data-Engineer-Professional exam materials at Lead2Passed — 250 practice questions with expert-verified answers — are built for exactly that, and a free practice test is available for your reference before you buy.
Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cost and Performance Optimization | ~13% | - Leverage system tables and observability tools - Optimize queries, clusters, and storage |
| Topic 2: Data Transformation, Cleansing, and Quality | ~12% | - Enforce data quality and quarantine bad data - Apply advanced Spark transformations |
| Topic 3: Data Modeling | ~10% | - Design scalable Delta Lake schemas and clustering - Apply dimensional modeling techniques |
| Topic 4: Streaming Workloads and Change Data Capture | ~11% | - Apply AUTO CDC APIs and exactly-once semantics - Implement reliable streaming pipelines |
| Topic 5: CI/CD, Testing, and Deployment | ~6% | - Implement testing and deployment pipelines - Deploy with Declarative Automation Bundles, CLI, and REST API |
| Topic 6: Data Sharing and Federation | ~8% | - Configure Delta Sharing and Lakehouse Federation |
| Topic 7: Monitoring, Logging, and Troubleshooting | ~8% | - Use Spark UI, Query Profiler, and system tables - Diagnose common pipeline and job failures |
| Topic 8: Developing Code for Data Processing using Python and SQL | ~22% | - Implement scalable Python/SQL code and project structures - Build pipelines with Lakeflow Spark Declarative Pipelines and Auto Loader - Manage dependencies, libraries, and UDFs |
| Topic 9: Security and Governance | ~10% | - Implement row-level security, column masking, and compliance - Manage Unity Catalog permissions and ACLs |
The Databricks Certified Data Engineer Professional Exam: What to Know First
Currency is maintained daily, not occasionally. Our IT staff reviews and updates the Databricks Certified Data Engineer Professional question bank every day to keep it aligned with the live Certified-Data-Engineer-Professional exam. If a revision is underway when you buy or during your update period, we notify you and send the updated version as soon as it is ready — free within your 365 days of updates. You will never be left studying a stale edition without knowing it.
The Certified-Data-Engineer-Professional exam is the official assessment behind the Databricks Certified Data Engineer Professional certification from Databricks, and its pass rate is genuinely low — many candidates need two or three attempts to get through. The difficulty is real, but it is also manageable: candidates who prepare with material aligned to the published objectives give themselves a far better starting position than those who walk in underprepared.
Registration for the Certified-Data-Engineer-Professional exam runs through these official channels:
Given how commonly this exam takes more than one attempt, schedule your sitting only when your practice results say you are ready.
The official outline divides the Certified-Data-Engineer-Professional exam into weighted domains, including:
- Data Modeling (~10%)
- Data Sharing and Federation (~8%)
- Developing Code for Data Processing using Python and SQL (~22%)
The Databricks Certified Data Engineer Professional question bank at Lead2Passed is updated daily against these same objectives, and the free practice test lets you sample that alignment yourself.
Databricks recommends these training resources for candidates:
Official training builds the foundation; a daily-reviewed practice bank with expert-verified answers builds the exam-day readiness. Use both.
Only while you want us to. Update notifications about the Databricks Certified Data Engineer Professional materials are sent because they are useful; once you have passed the Certified-Data-Engineer-Professional exam, one email to our team opts you out completely — no junk mail, ever. Your personal information is kept secret and safe throughout, and never shared with third parties.
Passing the Certified-Data-Engineer-Professional exam requires Not publicly disclosed; commonly estimated ~70%, and registration costs USD 200 (plus applicable taxes) — per attempt. With retakes so common on this exam, preparing properly for one focused attempt is the choice that protects your budget.
The Certified-Data-Engineer-Professional exam contains 59 (scored); may include unscored items questions with 120 minutes minutes to complete them. Practicing under the same time limit is the reliable way to make exam-day pacing feel familiar rather than frantic.
No formal prerequisites; completion of Databricks Certified Data Engineer Associate and 1+ year of hands-on data engineering experience on Databricks are highly recommended
Databricks Certified Data Engineer Professional Sample Questions:
A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data. Which statement is applicable for Lakehouse Federations to maintain data consistency?
- A. A separate data synchronization service must be deployed.
- B. Federation provides read-only access that reflects the current state of source systems.
- C. Federation implements change data capture (CDC) from all sources.
- D. Federation creates local copies that must be manually refreshed.
Correct Answer: B 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?
- A. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1 - B. Cluster: New Job Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: Unlimited - C. Cluster: New Job Cluster;
Retries: None;
Maximum Concurrent Runs: 1 - D. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1 - E. Cluster: Existing All-Purpose Cluster;
Retries: None;
Maximum Concurrent Runs: 1
Correct Answer: A 🗳️
Explanation: Only visible for Lead2Passed 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. Choose a compute instance with more disk space.
- B. Choose a compute instance with more network bandwidth.
- C. Choose a compute instance with a higher core-to-memory ratio.
- D. Reduce spark.sql.files.maxPartitionBytes.
- E. Increase spark.sql.files.maxPartitionBytes.
Correct Answer: C,D 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
Which statement describes the default execution mode for Databricks Auto Loader?
- A. New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.
- B. New files are identified by listing the input directory; new files are incrementally and idempotently loaded into the target Delta Lake table.
- C. Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
- D. Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.
- E. Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; the target table is materialized by directly querying all valid files in the source directory.
Correct Answer: B 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
A data engineering team is setting up a Git project to automate integration tests using Databricks Asset Bundles and the Git provider's CI/CD functionalities. When a pull containing changes to their pipleline is sent, they need to run a Job to test their data pipeline. What is the correct databricks bundle command sequence to be executed from the Git provider's CI/CD automation for this task?
- A. init, deploy, run, validate
- B. validate, deploy, run
- C. init, validate, deploy, run
- D. deploy, run, validate
Correct Answer: B 🗳️
Explanation: Only visible for Lead2Passed members. You can sign-up / login (it's free).
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