Prepare for your Databricks certification exams with our extensive collection of questions that mirror the actual certification tests. All questions include detailed explanations to help you learn.
The Databricks Certified Associate Developer for Apache Spark certification validates your understanding of Apache Spark architecture and components. It assesses your ability to apply the Spark DataFrame API for data manipulation, including SQL, streaming, and performance tuning, using Python.
Validate your expertise with the Databricks Data Intelligence Platform. The Databricks Certified Data Analyst Associate exam assesses your ability to manage, import, query, and analyze data using Unity Catalog, Databricks SQL, and AI/BI tools. Master dashboards, data modeling, and security.
The Databricks Certified Data Engineer Associate validates an individual's ability to perform introductory data engineering tasks on the Databricks Data Intelligence Platform. It covers ETL using Apache Spark SQL or PySpark, complex data handling, and deploying/orchestrating workloads with Databricks workflows.
The Databricks Certified Data Engineer Professional certification validates advanced skills in building, optimizing, and maintaining production-grade data engineering solutions on the Databricks Data Intelligence Platform. It covers designing secure, reliable, and cost-effective ETL pipelines, processing complex data with Python and SQL, and applying best practices in schema management, observability, governance, and performance optimization.
The Databricks Certified Generative AI Engineer Associate validates skills in designing, developing, and deploying LLM-enabled solutions on the Databricks Lakehouse Platform. It covers prompt engineering, RAG applications, agentic systems, data preparation with Unity Catalog, model serving, and MLOps for GenAI.
The Databricks Certified Machine Learning Associate (AI-102) validates an individual's ability to perform fundamental ML tasks on the Databricks Lakehouse Platform. It covers MLOps, feature engineering, model development, and deployment using tools like AutoML, Unity Catalog, and MLflow.
The Databricks Certified Machine Learning Professional certification validates expertise in designing, implementing, and managing enterprise-scale ML solutions on Databricks. It covers advanced SparkML, MLOps, MLflow, Feature Store, and model deployment strategies for production-ready systems.
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August 2025
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