The Databricks-Certified-Data-Analyst-Associate - Databricks Certified Data Analyst Associate Exam is part of the Databricks Certified Data Analyst certification path. It is designed for candidates who work with data analysis, SQL, reporting, and dashboarding in the Databricks environment. This exam matters because it validates practical skills in Databricks SQL and analytics workflows that are useful for modern lakehouse-based data teams.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Databricks SQL | SQL editor usage, query execution, warehouses, query results review | 25% |
| 2 | Data Management | Tables and views, data access control, organizing and maintaining datasets | 20% |
| 3 | SQL in the Lakehouse | Lakehouse concepts, querying managed data, working with structured data | 20% |
| 4 | Data Visualization and Dashboarding | Charts and visualizations, dashboards, filters and result presentation | 20% |
| 5 | Analytics applications | Business use cases, reporting workflows, sharing insights, analytical decision support | 15% |
The exam tests how well candidates can use Databricks SQL and related analytics features in real workflows. It focuses on practical knowledge, not just theory, so you should understand how to query data, manage data assets, build visual outputs, and apply analytics concepts in the lakehouse. Strong hands-on familiarity with the platform and the ability to interpret questions quickly are both important.
QA4Exam.com provides Exam PDF materials with actual questions and answers, along with an Online Practice Test built to match the Databricks Databricks-Certified-Data-Analyst-Associate exam style. These resources help you practice with up-to-date questions, understand the exam format, and review verified answers before test day. The practice test also gives you real exam simulation and time management practice, which can improve your confidence under pressure. By studying both the PDF and the online test, you can identify weak areas faster and prepare more efficiently for a first-attempt pass.
It is the Databricks Certified Data Analyst Associate Exam, created for candidates who want to validate practical data analysis and SQL skills in Databricks.
It is suitable for data analysts, BI users, and professionals who work with Databricks SQL, dashboards, and lakehouse analytics workflows.
It can be challenging if you are not familiar with Databricks SQL and dashboarding tasks, but focused preparation makes it manageable.
Dumps can help you understand question patterns and answer styles, but hands-on practice and topic review are still important for reliable preparation.
Yes, hands-on experience is very helpful because the exam focuses on practical use of Databricks SQL, data management, and visualization concepts.
They help you review likely exam questions, verify answers, and practice under timed conditions so you can improve accuracy and confidence before the exam.
The offering includes an Exam PDF with questions and answers and an Online Practice Test for interactive preparation and exam simulation.
A data analyst has been asked to use the below table sales_table to get the percentage rank of products within region by the sales:

The result of the query should look like this:

Which of the following queries will accomplish this task?
A)

B)

C)


In which circumstance will there be a substantial difference between the variable's mean and median values?
The mean is sensitive to extreme values, often called outliers, which can significantly skew the average away from the true center of the data. The median, however, is a measure of central tendency that is resistant to such outliers because it only considers the middle value(s) when the data is ordered. Therefore, when a variable contains many extreme outliers, there will be a substantial difference between the mean and the median. According to Databricks data analysis materials, this is a fundamental concept when choosing summary statistics for reporting.
A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.
Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?
A)
CREATE TABLE table_silver AS
SELECT DISTINCT *
FROM table_bronze;
B)
CREATE TABLE table_silver AS
INSERT *
FROM table_bronze;
C)
CREATE TABLE table_silver AS
MERGE DEDUPLICATE *
FROM table_bronze;
D)
INSERT INTO TABLE table_silver
SELECT * FROM table_bronze;
E)
INSERT OVERWRITE TABLE table_silver
SELECT * FROM table_bronze;
Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?
Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits
Get All 118 Questions & Answers