Databricks-Certified-Data-Analyst-Associate Dumps Special Discount for limited time Try FOR FREE [Q14-Q31]

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Databricks-Certified-Data-Analyst-Associate Dumps Special Discount for limited time Try FOR FREE

Databricks-Certified-Data-Analyst-Associate Dumps for success in Actual Exam Sep-2025]

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

Topic	Details
Topic 1	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 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	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 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.

QUESTION 14
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 15
A data analyst runs the following command:
SELECT age, country
FROM my_table
WHERE age >= 75 AND country = ‘canada’;
Which of the following tables represents the output of the above command?

QUESTION 16
The stakeholders.customers table has 15 columns and 3,000 rows of dat
a. The following command is run:

After running SELECT * FROM stakeholders.eur_customers, 15 rows are returned. After the command executes completely, the user logs out of Databricks.
After logging back in two days later, what is the status of the stakeholders.eur_customers view?

The view remains available and SELECT * FROM stakeholders.eur_customers will execute correctly.

The view has been dropped.

The view is not available in the metastore, but the underlying data can be accessed with SELECT * FROM delta. `stakeholders.eur_customers`.

The view remains available but attempting to SELECT from it results in an empty result set because data in views are automatically deleted after logging out.

The view has been converted into a table.

QUESTION 17
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 18
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 19
A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.
Which of the following projects should be completed in Databricks SQL?

Testing the quality of data as it is imported from a source

Tracking usage of feature variables for machine learning projects

Combining two data sources into a single, comprehensive dataset

Segmenting customers into like groups using a clustering algorithm

Automating complex notebook-based workflows with multiple tasks

QUESTION 20
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?

All data visualizations and counters must be created using Queries.

A SQL warehouse (formerly known as SQL endpoint) must be turned on and selected.

A markdown-based tile must be added to the top of the dashboard displaying the dashboard’s name.

The dashboard owner must also be the owner of the queries, data visualizations, and counters.

QUESTION 21
Which of the following is a benefit of Databricks SQL using ANSI SQL as its standard SQL dialect?

It has increased customization capabilities

It is easy to migrate existing SQL queries to Databricks SQL

It allows for the use of Photon’s computation optimizations

It is more performant than other SQL dialects

It is more compatible with Spark’s interpreters

QUESTION 22
Delta Lake stores table data as a series of data files, but it also stores a lot of other information.
Which of the following is stored alongside data files when using Delta Lake?

None of these

Table metadata, data summary visualizations, and owner account information

Table metadata

Data summary visualizations

Owner account information

QUESTION 23
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 24
What describes the variance of a set of values?

Variance is a measure of how far a single observed value is from a set ot va IN

Variance is a measure of how far an observed value is from the variable’s maximum or minimum value.

Variance is a measure of central tendency of a set of values.

Variance is a measure of how far a set of values is spread out from the sets central value.

QUESTION 25
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 26
An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses “Dashboard Parameter” for the query parameter associated with the area chart.
Which of the following statements is true?

The area chart will use whatever is selected in the Dashboard Parameter while all or the other visualizations will remain changed regardless of their parameter use.

The area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter.

The area chart will use whatever value is chosen on the dashboard at the time the area chart is added to the dashboard.

The area chart will use whatever value is input by the analyst when the visualization is added to the dashboard. The parameter cannot be changed by the user afterwards.

The area chart will convert to a Dashboard Parameter.

QUESTION 27
A data analyst is processing a complex aggregation on a table with zero null values and the query returns the following result:

Which query did the analyst execute in order to get this result?

QUESTION 28
A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.
Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?

Create a table by uploading the file using the Create page within Databricks SQL

Create a table via a connection between Databricks and the desktop facilitated by Partner Connect.

Create a table by uploading the file to cloud storage and then importing the data to Databricks.

Create a table by manually copying and pasting the data values into cloud storage and then importing the data to Databricks.

QUESTION 29
A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.
Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

Separate endpoints for each section

Separate queries for each section

Markdown-based text boxes

Direct text written into the dashboard in editing mode

Separate color palettes for each section

QUESTION 30
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 31
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