Databricks Data Analyst
Databricks Certified Data Analyst Associate
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ExploreAbout this exam
The Databricks Certified Data Analyst Associate is an entry-level, proctored certification that validates a candidate's ability to use the Databricks Data + AI Platform and Databricks SQL to complete introductory data analysis work. According to the official exam page, it assesses proficiency across the platform itself, managing data with Unity Catalog, importing data through methods such as the UI, S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, and Marketplace, and executing and optimizing queries - including creating views, performing aggregations, joining, filtering, and sorting tables, and analyzing queries with auditing, history, logs, and Liquid clustering. The remaining scope covers dashboards and visualizations, developing and maintaining AI/BI Genie spaces, data modeling with Databricks SQL, and securing data through storage and management best practices. The exam is suited to analysts who already work hands-on with SQL and want formal recognition; Databricks recommends 6+ months of practical experience with the tasks in the exam guide, though no prerequisites are enforced. Preparation guidance from the source is straightforward: review the exam guide, complete the related training it lists, use the AI Prep Guide, run the system check for online proctoring, then re-read the guide to close gaps. All exam SQL adheres to ANSI SQL standards, so no test aides are permitted. This page is independent study material and is not affiliated with or endorsed by Databricks.
What you'll study
About Databricks Data Analyst preparation
How many questions are on the exam and how long do I get?
The exam contains 45 scored questions with a 90-minute time limit. The official page notes that exams may also include unscored items used to gather statistical information for future use; these are not identified and do not affect your score, and additional time is factored in to account for them.
What does it cost and how long is the certification valid?
The registration fee is $200, and the validity period is 2 years. Recertification is required every two years to maintain certified status, and to recertify you must take the current version of the exam rather than an older one.
Is the exam multiple choice, and can I use notes or documentation?
It is multiple choice and proctored, delivered either online or at a test center, and available in English. Test aides are not allowed. The certification assesses your ability to use SQL, and all SQL on the exam adheres to ANSI SQL standards, so expect standard syntax rather than product-specific shortcuts.
Do I need prior experience or a prerequisite course?
There are no prerequisites, but related training is highly recommended. Databricks recommends 6+ months of hands-on experience performing the data analysis tasks outlined in the exam guide. Candidates with no warehouse or SQL background typically need more preparation time than the recommendation implies.
What is the retake policy if I fail?
The official exam page does not state a retake policy, waiting period, or fee for retakes. Because this cannot be confirmed from the published source, verify the current terms in your account on the exam delivery platform before scheduling, and budget for the $200 registration fee per attempt until you confirm otherwise.
What is a passing score?
The official page does not publish a passing score or scaled-score cutoff. Since no threshold is stated in the source material, treat any specific number you encounter elsewhere as unverified and confirm with Databricks directly before relying on it.
How should I order my study time?
Follow the domain weights: queries with Databricks SQL and SQL Warehouses is the largest area, followed by dashboards and visualizations, analyzing queries, and AI/BI Genie spaces. Cover the smaller areas - platform fundamentals, managing data, importing data, data modeling, and securing data - afterward so they are not skipped entirely.
How do I prepare using official resources?
The source lists four steps: review the Data Analyst Associate Exam Guide, take the related training outlined in the guide, use the AI Prep Guide, and register for the exam. It also advises reviewing the technical requirements for online proctoring and running a system check, then re-reading the exam guide to identify and fill gaps.
What are common failure modes?
Underestimating the SQL-heavy execution domain, skipping the smaller weighted domains, and neglecting Genie and dashboard features because they feel less like traditional SQL work. Reading the exam guide only once, or ignoring query analysis topics such as auditing, history, logs, and Liquid clustering, also leaves easy points on the table.
Where do I register and get my credential?
Registration is handled through the Databricks exam delivery platform, where you log in or create an account; the certification page also links to access your earned Databricks credentials. The exam is proctored, so complete the online system check beforehand if you plan to test remotely.