Databricks Certified Professional Data Engineer
Professional data engineering practice for Delta Lake, streaming, Unity Catalog, workflows, governance, and production pipeline operations.
Start DB-PDE exams ->Databricks Certified Machine Learning Professional
Machine learning professional practice for MLflow, feature engineering, model registry, monitoring, deployment, and production ML workflows.
Start ML-PRO exams ->Databricks Certified Data Engineer Professional
Data engineering professional practice for Lakehouse pipelines, Auto Loader, DLT expectations, MERGE, jobs, and asset deployment.
Start DE-PRO exams ->Databricks Certified Generative AI Engineer Associate
Generative AI practice for RAG, Vector Search, embeddings, prompt templates, agents, MLflow, safety, and model serving.
Start GENAI exams ->Databricks Certified Associate Developer for Apache Spark 3.5 – Python
Apache Spark 3.5 Python practice for DataFrame operations, joins, shuffles, execution hierarchy, null handling, and file output.
Start SPK 3.5 exams ->Databricks Certified Data Analyst Associate
Data analyst practice for Databricks SQL, SQL warehouses, dashboards, Data Explorer, joins, visualizations, and permissions.
Start SQL exams ->Databricks Certified Machine Learning Associate
Machine learning associate practice for experiments, metrics, AutoML, model registry, batch inference, serving, and reproducibility.
Start ML-ASSOC exams ->Databricks Certified Associate Developer for Apache Spark 3.0
Apache Spark 3.0 practice for actions, transformations, joins, caching, partitioning, schemas, Spark SQL, and DataFrameWriter modes.
Start SPK 3.0 exams ->Databricks Certified Professional Data Scientist
Professional data science practice for experiment design, feature engineering, explainability, drift, governance, and model deployment.
Start DS-PRO exams ->Free Databricks certification practice exams with explanations
Prepare for Databricks certification with focused mock exams for data engineering, Apache Spark, Databricks SQL, machine learning, generative AI, and data science. Each practice set is built around scenario-style questions, answer explanations, and realistic Databricks platform tradeoffs.
- Data Engineering Professional and Professional Data Engineer practice
- Apache Spark 3.5 and Spark 3.0 Python practice
- Databricks SQL Data Analyst Associate practice
- Machine Learning Associate and Professional practice
- Generative AI Engineer Associate practice
- Professional Data Scientist practice
Databricks practice exam FAQ
Are these Databricks practice exams free?
Yes. The Databricks practice exams on DevOpsEngine are free and can be used without signup.
Which Databricks certifications are covered?
The collection covers Databricks Data Engineering, Apache Spark, Databricks SQL Data Analyst, Machine Learning, Generative AI, and Professional Data Scientist practice paths.
Do the Databricks mock exams include explanations?
Yes. Questions include detailed explanations for correct and incorrect choices so learners can understand the Databricks concept behind each answer.
How should I prepare after taking a Databricks mock exam?
Review missed questions, map each miss to a Databricks product area, practice the related workflow in a workspace, and retake the exam after revision.