8 timed, auto-graded Databricks practice exams and 3 certification paths. Your first exam is free; every pass gives a certificate anyone can verify.
Scenario-based practice exam for ML engineers on Databricks: features in Unity Catalog, scaled training and tuning, MLflow tracking and registry, Model Serving, MLOps with bundles, monitoring and drif
Scenario-based practice exam for Apache Spark developers using Python: Spark architecture, Spark SQL, the DataFrame API, troubleshooting and tuning, Structured Streaming, Spark Connect and the Pandas
Scenario-based practice exam for Databricks data analysts: Databricks SQL and SQL warehouses, Unity Catalog data management, lakehouse SQL and ingestion, AI/BI dashboards and alerts, Genie spaces and
Practice exam for Databricks Fundamentals: the lakehouse and Data Intelligence Platform, workspace and compute basics, Unity Catalog governance, Lakeflow data engineering, Databricks SQL and AI/BI, an
Scenario-based practice exam on Lakeflow Declarative Pipelines, Structured Streaming, Auto Loader, CDC, Delta optimisation, Unity Catalog security, Delta Sharing, monitoring and Asset Bundles.
Scenario-based practice exam on designing LLM apps, preparing data for RAG with Vector Search, building agents, deploying with MLflow and Model Serving, governance and evaluation.
Scenario-based Databricks ML Associate practice exam: MLflow tracking and Unity Catalog models, AutoML, feature engineering, Spark ML data processing, model development and deployment.
Scenario-based practice exam for the Databricks Data Engineer Associate: the platform, ingestion with Auto Loader, Delta Lake and Spark SQL, Lakeflow pipelines and jobs, and Unity Catalog.
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Practice exams written by CareerByteCode. Not affiliated with Databricks; certification names are trademarks of their owners.
