Databricks DA-ASSOC FAQ for exam format, topics, prep strategy, practice, and common candidate traps.
DA-ASSOC is the Databricks Certified Data Analyst Associate exam. It focuses on analyst-level work in Databricks SQL: governed data discovery, SQL authoring, query analysis, dashboards, alerts, Genie spaces, data modeling, and secure sharing.
This exam is strongest for people who can already:
If you answer like a dashboard-only user and ignore SQL grain or governance boundaries, the exam gets much harder than it needs to be.
Usually not. You should understand Databricks lakehouse concepts at a high level, but the exam is mostly about ANSI SQL, Databricks SQL workflow, dashboards, Genie spaces, and trusted analytics behavior.
As of April 13, 2026, Databricks lists 45 scored multiple-choice questions with a 90-minute time limit, English delivery, and a $200 registration fee.
Yes. Databricks says the SQL on this certification exam adheres to ANSI SQL standards. That means the exam wants SQL reasoning that is portable and clear, not engine-specific trivia for its own sake.
The live Databricks certification page weights the scope across nine areas:
11%)8%)5%)20%)15%)16%)12%)5%)8%)No. Databricks lists no prerequisite certification for DA-ASSOC, though related training and hands-on data analyst work are strongly recommended.
It usually punishes wrong analytical reasoning more than missing syntax trivia. Common misses come from row explosion after joins, wrong result grain, incorrect window framing, weak warehouse or profile interpretation, bad dashboard or alert assumptions, weak Genie setup logic, or misunderstanding sharing and permissions.
Before you rely heavily on timed sets, you should be able to explain or demonstrate:
Master joins, windows, and grain control first, then add Databricks SQL workflow, dashboards, alerts, Genie basics, and secure-sharing logic. Keep a miss log for repeated mistakes, and pair the study plan with the cheat sheet and resources.
| If the miss was really about… | Fix it by doing this next |
|---|---|
| SQL correctness | restate the intended row grain before changing the query |
| joins | decide whether the issue is join type, key cardinality, or post-join filter placement |
| windows or time travel | separate window logic from historical-table-version access before changing the answer |
| warehouse or query-analysis behavior | validate whether the issue is compute, data scanned, cache, or profile signal |
| dashboard or alert behavior | validate the source query first, then check parameters, refresh, schedule, and thresholds |
| governance, sharing, or Genie behavior | restate the Unity Catalog object path, trusted-data quality, and permission boundary before picking the answer |
You should also practice:
Do not disappear into:
Use the live Databricks certification page and the current exam guide PDF as the source of truth. As of April 13, 2026, the public Data Analyst Associate exam guide says the current version is live as of October 30, 2025, so that guide should override older course notes, blogs, or community summaries when they conflict.