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  • Total Questions: 118
  • Updated on: Oct 12, 2026
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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
Topic 4
  • 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 5
  • 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.

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

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Databricks Certified Data Analyst Associate Sample Questions:

Which of the following SQL keywords can be used to convert a table from a long format to a wide format?

  • A. TRANSFORM
  • B. WHERE
  • C. CONVERT
  • D. SUM
  • E. PIVOT
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

A data analyst is working with gold-layer tables to complete an ad-hoc project. A stakeholder has provided the analyst with an additional dataset that can be used to augment the gold-layer tables already in use.
Which of the following terms is used to describe this data augmentation?

  • A. Data enhancement
  • B. Last-mile
  • C. Last-mile ETL
  • D. Ad-hoc improvements
  • E. Data testing
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

A data analyst has a managed table table_name in database database_name. They would now like to remove the table from the database and all of the data files associated with the table. The rest of the tables in the database must continue to exist.
Which of the following commands can the analyst use to complete the task without producing an error?

  • A. DROP DATABASE database_name;
  • B. DELETE TABLE database_name.table_name;
  • C. DELETE TABLE table_name FROM database_name;
  • D. DROP TABLE table_name FROM database_name;
  • E. DROP TABLE database_name.table_name;
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

A data analyst has two data sources that are providing similar but complementary information. The analyst wants to combine these sources of data into a single, comprehensive dataset for ongoing use for their team in a variety of different projects.
Which term is used to describe this type of work?

  • A. Last-mile ETL
  • B. Ad-hoc improvements
  • C. Data testing
  • D. Data blending
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).

A data analyst has been asked to provide a list of options on how to share a dashboard with a client. It is a security requirement that the client does not gain access to any other information, resources, or artifacts in the database.
Which of the following approaches cannot be used to share the dashboard and meet the security requirement?

  • A. Generate a Personal Access Token that is good for 1 day and share it with the client.
  • B. Take a screenshot of the dashboard and share it with the client.
  • C. Set a refresh schedule for the dashboard and enter the client ' s email address in the " Subscribers " box.
  • D. Download a PNG file of the visualizations in the dashboard and share them with the client.
  • E. Download the Dashboard as a PDF and share it with the client.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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