Analyzing Queries — Databricks Certified Data Analyst Associate

The official DATABRICKS documentation our Analyzing Queries practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Databricks — From Eight Hours to Eight Minutes: Automating A/B Test Analysis on Databricks | Databricks

publishes a daily dashboard with an LLM-generated summary and KPI diagnostics
Databricks — Databricks Performance Optimization | Databricks

We’ll cover topics like streaming, liquid clustering, data skipping, caching, Photon, and more.
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
Databricks — From Search to SQL: How Glean Tap Databricks Genie for Everyday Analytics | Databricks

Natural-language questions route to the appropriate Genie space via MCP. Glean translates intent into governed SQL and returns results alongside relevant context.
Databricks — Scaling Executive-Ready Insight With Databricks AI Query on AI/BI | Databricks

80% of impact comes from clear strategy logic and trusted data — AI delivers the final 20% by generating consistent natural-language summaries at scale.