Databricks Performance Tuning Overview Optimize Databricks cluster sizing, Spark configuration, and Delta Lake query performance. Covers workload-specific Spark configs, Adaptive Query Execution (AQE), Liquid Clustering, Z-ordering, OPTIMIZE/VACUUM maintenance, query plan analysis, and caching strategies. Prerequisites - Access to cluster configuration (admin or cluster owner) - Understanding of workload type (ETL batch, ML training, streaming, interactive) - Query history access for identifying slow queries Instructions Step 1: Cluster Sizing by Workload | Workload | Instance Family | Why |…