Databricks Databricks-Certified-Data-Analyst-Associate Q&A - in .pdf

  • Databricks-Certified-Data-Analyst-Associate pdf
  • Exam Code: Databricks-Certified-Data-Analyst-Associate
  • Exam Name: Databricks Certified Data Analyst Associate Exam
  • Updated: Nov 03, 2026
  • Q & A: 118 Questions and Answers
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  • Exam Code: Databricks-Certified-Data-Analyst-Associate
  • Exam Name: Databricks Certified Data Analyst Associate Exam
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  • Updated: Nov 03, 2026
  • Q & A: 118 Questions and Answers
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  • Exam Code: Databricks-Certified-Data-Analyst-Associate
  • Exam Name: Databricks Certified Data Analyst Associate Exam
  • Updated: Nov 03, 2026
  • Q & A: 118 Questions and Answers
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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
  • 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 3
  • 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 4
  • 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 5
  • 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.

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 wants to create a Databricks SQL dashboard with multiple data visualizations and multiple counters. What must be completed before adding the data visualizations and counters to the dashboard?

  • A. A markdown-based tile must be added to the top of the dashboard displaying the dashboard ' s name.
  • B. All data visualizations and counters must be created using Queries.
  • C. A SQL warehouse (formerly known as SQL endpoint) must be turned on and selected.
  • D. The dashboard owner must also be the owner of the queries, data visualizations, and counters.
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Correct Answer: B  🗳️

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Question #2

Which open-source project helps to enable the data lakehouse by adding organization, reliability, performance, and data governance to data lake architectures?

  • A. Apache Spark
  • B. Delta Lake
  • C. MLflow
  • D. Databricks SQL
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

  • A. Data Labels can be formatted.
  • B. Colors can be changed.
  • C. Visualization scale can be changed.
  • D. Tooltips can be formatted.
  • E. Borders can be added.
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Correct Answer: E  🗳️

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Question #4

Data professionals with varying responsibilities use the Databricks Lakehouse Platform Which role in the Databricks Lakehouse Platform use Databricks SQL as their primary service?

  • A. Platform architect
  • B. Data engineer
  • C. Business analyst
  • D. Data scientist
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Correct Answer: C  🗳️

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Question #5

A data analyst runs the following command:
INSERT INTO stakeholders.suppliers TABLE stakeholders.new_suppliers;
What is the result of running this command?

  • A. The suppliers table now contains the data from the new suppliers table, and the new suppliers table now contains the data from the suppliers table.
  • B. The suppliers table now contains only the data from the new suppliers table.
  • C. The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, including any duplicate data.
  • D. The command fails because it is written incorrectly.
  • E. The suppliers table now contains both the data it had before the command was run and the data from the new suppliers table, and any duplicate data is deleted.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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