2025 Valid Databricks-Certified-Data-Analyst-Associate Exam Updates – 2025 Study Guide [Q20-Q35]

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2025 Valid Databricks-Certified-Data-Analyst-Associate Exam Updates – 2025 Study Guide

Databricks-Certified-Data-Analyst-Associate Certification – The Ultimate Guide [Updated 2025]

QUESTION 20
Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

Visualization scale can be changed.

Data Labels can be formatted.

Colors can be changed.

Borders can be added.

Tooltips can be formatted.

QUESTION 21
How can a data analyst determine if query results were pulled from the cache?

Go to the Query History tab and click on the text of the query. The slideout shows if the results came from the cache.

Go to the Alerts tab and check the Cache Status alert.

Go to the Queries tab and click on Cache Status. The status will be green if the results from the last run came from the cache.

Go to the SQL Warehouse (formerly SQL Endpoints) tab and click on Cache. The Cache file will show the contents of the cache.

Go to the Data tab and click Last Query. The details of the query will show if the results came from the cache.

QUESTION 22
In which circumstance will there be a substantial difference between the variable’s mean and median values?

When the variable is of the categorical type

When the variable is of the boolean type

When the variable contains no outliers

When the variable contains a lot of extreme outliers

QUESTION 23
A data analyst has recently joined a new team that uses Databricks SQL, but the analyst has never used Databricks before. The analyst wants to know where in Databricks SQL they can write and execute SQL queries.
On which of the following pages can the analyst write and execute SQL queries?

Data page

Dashboards page

Queries page

Alerts page

SQL Editor page

QUESTION 24
In which of the following situations will the mean value and median value of variable be meaningfully different?

When the variable contains no outliers

When the variable contains no missing values

When the variable is of the boolean type

When the variable is of the categorical type

When the variable contains a lot of extreme outliers

QUESTION 25
A data analyst needs to use the Databricks Lakehouse Platform to quickly create SQL queries and data visualizations. It is a requirement that the compute resources in the platform can be made serverless, and it is expected that data visualizations can be placed within a dashboard.
Which of the following Databricks Lakehouse Platform services/capabilities meets all of these requirements?

Delta Lake

Databricks Notebooks

Tableau

Databricks Machine Learning

Databricks SQL

QUESTION 26
Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?

ACID transactions

Flexible schemas

Data deletion

Scalable storage

Open-source formats

QUESTION 27
A data analyst has been asked to produce a visualization that shows the flow of users through a website.
Which of the following is used for visualizing this type of flow?

Heatmap

IChoropleth

Word Cloud

Pivot Table

Sankey

QUESTION 28
Which of the following approaches can be used to ingest data directly from cloud-based object storage?

Create an external table while specifying the DBFS storage path to FROM

Create an external table while specifying the DBFS storage path to PATH

It is not possible to directly ingest data from cloud-based object storage

Create an external table while specifying the object storage path to FROM

Create an external table while specifying the object storage path to LOCATION

QUESTION 29
Which of the following describes how Databricks SQL should be used in relation to other business intelligence (BI) tools like Tableau, Power BI, and looker?

As an exact substitute with the same level of functionality

As a substitute with less functionality

As a complete replacement with additional functionality

As a complementary tool for professional-grade presentations

As a complementary tool for quick in-platform Bl work

QUESTION 30
What is used as a compute resource for Databricks SQL?

Single-node clusters

Downstream BI tools integrated with Databricks SQL

SQL warehouses

Standard clusters

QUESTION 31
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?

DROP DATABASE database_name;

DELETE TABLE database_name.table_name;

DROP TABLE database_name.table_name;

DELETE TABLE table_name FROM database_name;

DROP TABLE table_name FROM database_name;

QUESTION 32
A data analyst has been asked to count the number of customers in each region and has written the following query:

If there is a mistake in the query, which of the following describes the mistake?

The query is using count(‘). which will count all the customers in the customers table, no matter the region.

The query is missing a GROUP BY region clause.

The query is using ORDER BY. which is not allowed in an aggregation.

There are no mistakes in the query.

The query is selecting region but region should only occur in the ORDER BY clause.

QUESTION 33
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?

DROP DATABASE database_name;

DROP TABLE database_name.table_name;

DELETE TABLE database_name.table_name;

DELETE TABLE table_name FROM database_name;

DROP TABLE table_name FROM database_name;

QUESTION 34
Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.
Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

Business analyst

SQL analyst

Data engineer

Business intelligence analyst

Data analyst

QUESTION 35
Which statement describes descriptive statistics?

A branch of statistics that uses a variety of data analysis techniques to infer properties of an underlying distribution of probability.

A branch of statistics that uses summary statistics to categorically describe and summarize data.

A branch of statistics that uses summary statistics to quantitatively describe and summarize data.

A branch of statistics that uses quantitative variables that must take on a finite or countably infinite set of values.

Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

Topic	Details
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	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 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	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 5	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.

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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

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