Free Databricks Exam Questions
Databricks Certified Data Engineer Associate
Practice with our comprehensive collection of free Databricks Certified Data Engineer Associate exam questions. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Exam Information
Exam Details
Complete information about the Databricks Certified Data Engineer Associate certification exam
45 scored multiple-choice questions
90 minutes (1.5 hours)
USD 200 (plus applicable taxes)
2 years
Online or test center
Prerequisites: No required prerequisites, but course attendance and six months of hands-on experience in Databricks are highly recommended.
Exam Topics & Skills Assessed
Key technologies and domains covered in the Associate Data Engineer exam
Core Databricks Technologies:
- Databricks Data Intelligence Platform - Workspace, architecture, and capabilities
- Apache Spark SQL - Data extraction, complex data handling, and queries
- PySpark - Data processing with Python DataFrames and complex aggregations
- Auto Loader - Valid sources, use cases, and syntax for data ingestion
- Lakeflow Declarative Pipeline (LDP) - ETL process implementation and advantages
- Unity Catalog - Data governance, permissions, roles, audit logs, and lineage
- Delta Lake - Managed and external tables, DDL/DML features
- Medallion Architecture - Bronze, Silver, Gold data architecture patterns
- Databricks Asset Bundles (DAB) - Deployment structure and workflow management
- Databricks Connect - Data engineering workflow integration
- Serverless Compute - Auto-optimized compute managed by Databricks
- Databricks Workflows - Job configuration, scheduling, and orchestration
Exam Sections (5 Main Domains):
- Databricks Intelligence Platform - Features, value, and compute selection
- Development and Ingestion - Databricks Connect, Notebooks, Auto Loader, debugging tools
- Data Processing & Transformations - Medallion Architecture, cluster configuration, LDP, DDL/DML, aggregations
- Productionizing Data Pipelines - Asset Bundles, workflow deployment, serverless, Spark UI optimization
- Data Governance & Quality - Managed vs external tables, Unity Catalog permissions, Delta Sharing, Lakehouse Federation
Foundation Skills Tested:
- Understanding the Databricks Data Intelligence Platform workspace and architecture
- Performing ETL tasks using Apache Spark SQL or PySpark
- Handling complex data processing and user-defined functions
- Deploying and orchestrating workloads with Databricks workflows
- Configuring and scheduling jobs effectively
- Implementing data pipelines using Lakeflow Declarative Pipeline
- Managing data governance with Unity Catalog
- Sharing data using Delta Sharing
About the Databricks Certified Data Engineer Associate Certification
The Databricks Certified Data Engineer Associate certification validates your foundational expertise in using the Databricks Data Intelligence Platform to complete introductory data engineering tasks. This associate-level certification demonstrates proficiency in the platform workspace, architecture, and capabilities, as well as the ability to perform ETL tasks using Apache Spark SQL or PySpark, covering extraction, complex data handling, and user-defined functions.
The certification also validates your ability to deploy and orchestrate workloads with Databricks workflows, configuring and scheduling jobs effectively. This certification is ideal for data engineers starting their journey with Databricks who need to demonstrate foundational skills in data engineering on the platform.