Databricks Certifications — Study Hubs, Syllabi & Practice

Databricks certification study hubs for data engineering, analytics, and machine learning: blueprint-aligned syllabi, high-yield cheat sheets, study plans, FAQs, resources, and practice.

Databricks certifications validate practical ability to build and operate solutions on the Lakehouse using Apache Spark, Delta Lake, and Databricks-native services (SQL, Jobs/Workflows, governance, ML/MLOps).

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Each exam hub on this site follows a consistent flow:

  • Overview: what’s tested and how to prepare
  • Study Plan: 30/60/90‑day schedules
  • Syllabus: learning objectives mapped to topics
  • Cheatsheet: high-yield SQL/Spark patterns, configs, and pickers
  • Practice: drills and mixed sets (when available)
  • FAQ & Resources: common questions and authoritative links

Data Engineering exam hubs

Machine Learning exam hubs

Data Analyst exam hub

GenAI exam hub
Tip: Databricks exams reward “platform realism”: knowing the right abstraction (SQL vs Spark vs pipeline), and choosing safe defaults (governance, incremental processing, cost control).

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