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Databricks Certified Data Engineer Professional Mock Exam & Readiness Assessment

A free 30-question diagnostic for Databricks Certified Data Engineer Professional. Answer at your own pace, then review a domain-by-domain readiness signal with fully explained reasoning for every question.

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  • 30 Questions
  • 30 Single-Answer / 0 Multi-Answer
  • 10 Domains
  • 60 minutes (~2 minutes per question based on the official exam)

Who This Diagnostic Is For

This assessment is for learners preparing for Databricks Certified Data Engineer Professional who want an honest, evidence-based signal of where they stand today. Every question is original CertShield content, technically validated against current official documentation (Live version effective July 3, 2026) and peer-reviewed by subject-matter experts before publication.

What It Measures

Questions sampled per domain in this 30-question set.
DomainQuestions
Cost & Performance Optimization4
Data Governance2
Data Ingestion & Acquisition2
Data Modeling2
Data Sharing and Federation1
Data Transformation, Cleansing, and Quality3
Debugging and Deploying3
Developing Code for Data Processing using Python and SQL7
Ensuring Data Security and Compliance3
Monitoring and Alerting3

Limitations of this diagnostic: 30 questions cannot cover every exam objective with equal depth. Domains with fewer than three questions are labelled "Limited evidence" in your results and can never cause a readiness downgrade on their own. This is not an official exam, an accredited course, or a pass-rate prediction.

Technically validated: Completed August 22, 2026, against the Databricks Certified Data Engineer Professional exam guide (live version effective July 3, 2026), current Databricks product documentation (docs. See the assessment methodology for how scoring, confidence and readiness safeguards work.

About the Official Databricks Certified Data Engineer Professional Exam

Sourced directly from the official Databricks Certified Data Engineer Professional Exam Guide — Live version effective July 3, 2026.

Questions
59 scored multiple-choice questions
Time Limit
120 minutes
Passing Score
Not publicly disclosed by Databricks
Registration Fee
$200
Delivery
Online-proctored or at a test center
Validity
2 years, with a full retake required to recertify

Official exam domains this diagnostic mirrors:

  • Developing Code for Data Processing using Python and SQL
  • Data Ingestion & Acquisition
  • Data Transformation, Cleansing, and Quality
  • Data Sharing and Federation
  • Monitoring and Alerting
  • Cost & Performance Optimization
  • Ensuring Data Security and Compliance
  • Data Governance
  • Debugging and Deploying
  • Data Modeling

Who this certification is for:

Databricks' own exam guide describes the ideal candidate as someone with advanced skills in building, optimizing, and maintaining production-grade data engineering solutions on the Data Intelligence Platform, demonstrating expertise across Delta Lake, Unity Catalog, Auto Loader, Lakeflow Spark Declarative Pipelines, and the Medallion Architecture.

Unscored calibration questions may appear on the real exam; extra time is already factored in to account for them.

View the Official Exam Guide (PDF) →

Frequently Asked Questions

How many questions are on the Databricks Certified Data Engineer Professional exam?

59 scored multiple-choice questions

How long is the Databricks Certified Data Engineer Professional exam?

120 minutes

What is the passing score for Databricks Certified Data Engineer Professional?

Not publicly disclosed by Databricks

How much does the Databricks Certified Data Engineer Professional exam cost?

$200

What topics are covered in the Databricks Certified Data Engineer Professional exam?

The exam covers Developing Code for Data Processing using Python and SQL, Data Ingestion & Acquisition, Data Transformation, Cleansing, and Quality, Data Sharing and Federation, Monitoring and Alerting, Cost & Performance Optimization, Ensuring Data Security and Compliance, Data Governance, Debugging and Deploying, and Data Modeling.

Who is the Databricks Certified Data Engineer Professional exam for?

Databricks' own exam guide describes the ideal candidate as someone with advanced skills in building, optimizing, and maintaining production-grade data engineering solutions on the Data Intelligence Platform, demonstrating expertise across Delta Lake, Unity Catalog, Auto Loader, Lakeflow Spark Declarative Pipelines, and the Medallion Architecture.

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