← Databricks Certified Data Engineer Professional
DATABRICKS · objective · 10% of the exam
Cost & Performance Optimization
Exam objectives are the official skill domains Databricks Certified Data Engineer Professional tests. Below are the official DATABRICKS docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Databricks — Cost Management for Serverless Compute: Notebooks, Jobs, and Pipelines | Databricks
entitlements that grant or revoke serverless access per user, group, or service principal, and per-workload rate limits that cap the spend rate of an individual
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Databricks — Diagnosing Performance Bottlenecks in Databricks Lakehouse | Databricks
how to distinguish query-level inefficiencies from data layout issues, concurrency pressure, and system-level constraints, and how to interpret execution plans and runtime signals to identify
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Databricks — Forecasting at Databricks: One Framework Behind Consumption and Infra Cost | Databricks
Unified Forecasting Framework, the backend behind AI_Forecast() function scheduled on Lakeflow Jobs validates model selection across the hierarchies
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Databricks — Optimize Lakehouse Cost and Performance With Intelligent Storage and Liquid Clustering | Databricks
including Automatic Liquid Clustering on Unity Catalog managed tables, adaptive layouts that handle evolving query patterns, and metadata-driven optimizations that reduce unnecessary data scans
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Databricks — Optimizing AI/BI Dashboard Performance: Best Practices for Speed and Scale | Databricks
Design datasets and queries for fast, interactive dashboard performance - Leverage caching, query optimization, and warehouse configuration effectively - Use automatic materialization for the right