Databricks Data Analyst Associate Practice Tests: Trust SQL

Categories: Databricks
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About Course

This course contains the use of artificial intelligence.

A successful SQL query can still return the wrong business answer. These Databricks Certified Data Analyst Associate practice tests help you trace rows, verify the metric definition and identify whether the gap lies in logic, data coverage, access or reporting.

Practise joins, NULLs, aggregates, set operations and time boundaries, alongside views, tables and Delta history. Performance scenarios examine query profiles, caching, Photon and liquid clustering. Reporting tasks connect AI/BI dashboards, parameters, refresh, sharing and alerts with governed data, while Genie questions test sources, instructions, calculations and reference answers.

The 330 questions are organised into four focused 60-question sets and two 45-question, 90-minute mocks. Each option has feedback, with an overall explanation and a study tip. Short data and configuration cases ask you to defend an answer: contextual intelligence, for instance, does not grant unrestricted access or validate every generated business calculation.

Start with a focused area and work through the result before reading feedback. Record incorrect answers and correct guesses, revisit the relevant documentation, then use a mixed mock to test reasoning under different conditions.

Basic SQL and Databricks analyst-workflow familiarity are recommended; no paid workspace is required. The scope is the October 30, 2025 exam guide linked for this course, with its terminology retained where relevant. This independent resource provides written practice, not hosted labs or advanced pipeline engineering. The 80% revision target is author-set and does not claim the official passing mark or guarantee certification.

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What Will You Learn?

  • Trace SQL results involving joins, set operations, aggregates, NULLs, and date boundaries.
  • Choose and create appropriate views, materialized views, streaming tables, and managed or external tables.
  • Interpret query profiles, caching, Photon, liquid clustering, and retained Delta history.
  • Configure analytical dashboards, parameters, sharing, refresh schedules, and alert conditions.
  • Curate and evaluate Genie sources, instructions, trusted calculations, and benchmark references.
  • Apply Unity Catalog namespaces, least-privilege access, ownership, and sensitive-data controls.
  • Practice all nine exam domains in two 45-question, 90-minute mocks and plan targeted revision.

Course Content

Practice tests

  • Foundations, Data Preparation and Governance
  • SQL Queries, Results and Data Objects
  • Performance Diagnosis and Governed Reporting
  • AI/BI Dashboards and Genie
  • Full Mock Exam 1
  • Full Mock Exam 2