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Databricks Databricks-Certified-Data-Analyst-Associate real answers - Databricks Certified Data Analyst Associate Exam

Databricks-Certified-Data-Analyst-Associate
  • Exam Code: Databricks-Certified-Data-Analyst-Associate
  • Exam Name: Databricks Certified Data Analyst Associate Exam
  • Updated: Nov 10, 2026
  • Q & A: 118 Questions and Answers
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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Analytics applications: It describes key moments of statistical distributions, data enhancement, and the blending of data between two source applications. Moroever, the topic also explains last-mile ETL, a scenario in which data blending would be beneficial, key statistical measures, descriptive statistics, and discrete and continuous statistics.
Topic 2
  • Data Visualization and Dashboarding: Sub-topics of this topic are about of describing how notifications are sent, how to configure and troubleshoot a basic alert, how to configure a refresh schedule, the pros and cons of sharing dashboards, how query parameters change the output, and how to change the colors of all of the visualizations. It also discusses customized data visualizations, visualization formatting, Query Based Dropdown List, and the method for sharing a dashboard.
Topic 3
  • Data Management: The topic describes Delta Lake as a tool for managing data files, Delta Lake manages table metadata, benefits of Delta Lake within the Lakehouse, tables on Databricks, a table owner’s responsibilities, and the persistence of data. It also identifies management of a table, usage of Data Explorer by a table owner, and organization-specific considerations of PII data. Lastly, the topic it explains how the LOCATION keyword changes, usage of Data Explorer to secure data.
Topic 4
  • SQL in the Lakehouse: It identifies a query that retrieves data from the database, the output of a SELECT query, a benefit of having ANSI SQL, access, and clean silver-level data. It also compares and contrasts MERGE INTO, INSERT TABLE, and COPY INTO. Lastly, this topic focuses on creating and applying UDFs in common scaling scenarios.
Topic 5
  • Databricks SQL: This topic discusses key and side audiences, users, Databricks SQL benefits, complementing a basic Databricks SQL query, schema browser, Databricks SQL dashboards, and the purpose of Databricks SQL endpoints
  • warehouses. Furthermore, the delves into Serverless Databricks SQL endpoint
  • warehouses, trade-off between cluster size and cost for Databricks SQL endpoints
  • warehouses, and Partner Connect. Lastly it discusses small-file upload, connecting Databricks SQL to visualization tools, the medallion architecture, the gold layer, and the benefits of working with streaming data.

Reference: https://www.databricks.com/learn/certification/data-analyst-associate

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Databricks Certified Data Analyst Associate Sample Questions:

Question #1

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)

D)

  • A. Option B
  • B. Option D
  • C. Option C
  • D. Option A
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).

Question #2

A data analyst has opened the SQL Editor page and written a new SQL statement. The data analyst now wants to save that statement to easily refer back to it later and add it to a dashboard. The results of the SQL statement must be able to be displayed as a counter, table, or data visualization.
Which approach should the data analyst use to accomplish this task?

  • A. Save the SQL statement in the Query History page
  • B. Save the SQL statement as a Query
  • C. Save the SQL statement within a Notebook
  • D. Save the SQL statement as a Dashboard
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).

Question #3

What describes the variance of a set of values?

  • A. Variance is a measure of how far an observed value is from the variable ' s maximum or minimum value.
  • B. Variance is a measure of central tendency of a set of values.
  • C. Variance is a measure of how far a set of values is spread out from the sets central value.
  • D. Variance is a measure of how far a single observed value is from a set ot va IN
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).

Question #4

Which of the following commands will return the location of database customer360?

  • A. ALTER DATABASE customer360 SET DBPROPERTIES ( ' location ' = ' /user ' );
  • B. USE DATABASE customer360;
  • C. DESCRIBE DATABASE customer360;
  • D. DESCRIBE LOCATION customer360;
  • E. DROP DATABASE customer360;
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).

Question #5

A data analyst wants the following output:

Which statement will produce this output?

  • A.
  • B.
  • C.
  • D.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Dumpexams members. You can sign-up / login (it's free).

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