Quick answer: The Databricks Certified Data Engineer Associate exam validates foundational data engineering skills on the Databricks Data Intelligence Platform. The current exam has 45 scored multiple-choice questions, a 90-minute time limit, and a USD 200 registration fee. The current exam version covers data ingestion, loading, transformation and modeling, Lakeflow Jobs, CI/CD, troubleshooting, monitoring, optimization, governance, and security.
Current Exam Format
- 45 scored multiple-choice questions
- 90 minutes
- USD 200 registration fee, plus applicable taxes
- Online or test-center delivery
- No prerequisite is required, although Databricks recommends six months of hands-on experience
- Certification validity: 2 years
Learning Pathway
Before you begin
1. Build a working understanding of Databricks, data engineering, Python, and SQL.
2. Get hands-on experience with the Databricks Data Intelligence Platform rather than relying only on exam theory.
3. Review the current official exam guide before preparing, because exam objectives can change.
Prepare for the Exam
- Review the current Databricks Data Engineer Associate exam guide and map each objective to your study plan.
- Practice data engineering tasks in a Databricks workspace using SQL and Python/PySpark.
- Focus on the current exam areas: data ingestion and loading, transformations and modeling, Lakeflow Jobs, CI/CD, troubleshooting, monitoring, optimization, governance, and security.
- Use the official Databricks training and certification resources for additional preparation.
Key topics to study
- Databricks Data Intelligence Platform: workspace, architecture, and core platform capabilities.
- Data ingestion and loading: understand common approaches for bringing data into Databricks.
- Data transformation and modeling: use SQL and PySpark for ETL workloads.
- Lakeflow Jobs: understand how data engineering workloads are orchestrated and automated.
- CI/CD: understand how data engineering assets can be developed and deployed through controlled workflows.
- Troubleshooting and optimization: identify common issues and understand performance considerations.
- Governance and security: understand the platform capabilities used to secure and govern data.
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Databricks Certified Data Engineer Associate Practice Exam
Use the official Databricks exam guide as the source of truth for the current exam objectives and format. Avoid relying on older practice material that reflects previous exam versions.
Book Your Exam
When you are ready, use the Databricks certification page to review the current certification details and register for the exam.
Pro tips:
1. Use a Databricks workspace for hands-on practice; the exam is focused on practical data engineering tasks.
2. Always check the latest Databricks exam guide shortly before your exam because the exam objectives and version can change.
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Kunal Rathi
With over 15 years of experience in data engineering and analytics, I've assisted countless clients in gaining valuable insights from their data. As a dedicated supporter of Data, Cloud and DevOps, I'm excited to connect with individuals who share my passion for this field. If my work resonates with you, we can talk and collaborate.
