Databricks-Certified-Data-Analyst-Associate Exam Practice Test Instant Access

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?

AAll data visualizations and counters must be created using Queries.

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

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

DThe dashboard owner must also be the owner of the queries, data visualizations, and counters.
In Databricks SQL, when creating a dashboard that includes multiple data visualizations and counters, it is imperative that each visualization and counter is based on a query. The process involves the following steps:
Develop Queries:
For each desired visualization or counter, write a SQL query that retrieves the necessary data.
Create Visualizations and Counters:
After executing each query, utilize the results to create corresponding visualizations or counters. Databricks SQL offers a variety of visualization types to represent data effectively.
Assemble the Dashboard:
Add the created visualizations and counters to your dashboard, arranging them as needed to convey the desired insights.
By ensuring that all components of the dashboard are derived from queries, you maintain consistency, accuracy, and the ability to refresh data as needed. This approach also facilitates easier maintenance and updates to the dashboard elements.

Answer : A

Question 2

Which location can be used to determine the owner of a managed table?

AReview the Owner field in the table page using Catalog Explorer

BReview the Owner field in the database page using Data Explorer

CReview the Owner field in the schema page using Data Explorer

DReview the Owner field in the table page using the SQL Editor
In Databricks, to determine the owner of a managed table, you can utilize the Catalog Explorer feature. The steps are as follows:
Access Catalog Explorer:
In your Databricks workspace, click on the Catalog icon in the sidebar to open Catalog Explorer.
Navigate to the Table:
Within Catalog Explorer, browse through the catalog and schema to locate the specific managed table whose ownership you wish to verify.
View Table Details:
Click on the table name to open its details page.
Identify the Owner:
On the table's details page, review the Owner field, which displays the principal (user, service principal, or group) that owns the table.
This method provides a straightforward way to ascertain the ownership of managed tables within the Databricks environment. Understanding table ownership is essential for managing permissions and ensuring proper access control.

Answer : A

Question 3

A data scientist has asked a data analyst to create histograms for every continuous variable in a data set. The data analyst needs to identify which columns are continuous in the data set.

What describes a continuous variable?

AA quantitative variable that never stops changing

BA quantitative variable Chat can take on a finite or countably infinite set of values

CA quantitative variable that can take on an uncountable set of values

DA categorical variable in which the number of categories continues to increase over time
A continuous variable is a type of quantitative variable that can assume an infinite number of values within a given range. This means that between any two possible values, there can be an infinite number of other values. For example, variables such as height, weight, and temperature are continuous because they can be measured to any level of precision, and there are no gaps between possible values. This is in contrast to discrete variables, which can only take on specific, distinct values (e.g., the number of children in a family). Understanding the nature of continuous variables is crucial for data analysts, especially when selecting appropriate statistical methods and visualizations, such as histograms, to accurately represent and analyze the data.

Answer : C

Question 4

A data analyst needs to share a Databricks SQL dashboard with stakeholders that are not permitted to have accounts in the Databricks deployment. The stakeholders need to be notified every time the dashboard is refreshed.

Which approach can the data analyst use to accomplish this task with minimal effort/

ABy granting the stakeholders' email addresses permissions to the dashboard

BBy adding the stakeholders' email addresses to the refresh schedule subscribers list

CBy granting the stakeholders' email addresses to the SQL Warehouse (formerly known as endpoint) subscribers list

DBy downloading the dashboard as a PDF and emailing it to the stakeholders each time it is refreshed
To share a Databricks SQL dashboard with stakeholders who do not have accounts in the Databricks deployment and ensure they are notified upon each refresh, the data analyst can add the stakeholders' email addresses to the dashboard's refresh schedule subscribers list. This approach allows the stakeholders to receive email notifications containing the latest dashboard updates without requiring them to have direct access to the Databricks workspace. This method is efficient and minimizes effort, as it automates the notification process and ensures stakeholders remain informed of the most recent data insights.

Answer : B

Question 5

Where in the Databricks SQL workspace can a data analyst configure a refresh schedule for a query when the query is not attached to a dashboard or alert?

AData bxplorer

BThe Visualization editor

CThe Query Editor

DThe Dashboard Editor
In Databricks SQL, to configure a refresh schedule for a query that is not attached to a dashboard or alert, a data analyst should use the Query Editor. Within the Query Editor, there is an option to set up scheduled executions for queries. This feature enables the query to run at specified intervals, ensuring that the results are updated regularly. By scheduling queries in this manner, analysts can automate data refreshes and maintain up-to-date query results without manual intervention.

Answer : C

Question 6

What is a benefit of using Databricks SQL for business intelligence (Bl) analytics projects instead of using third-party Bl tools?

AComputations, data, and analytical tools on the same platform

BAdvanced dashboarding capabilities

CSimultaneous multi-user support

DAutomated alerting systems
Databricks SQL offers a unified platform where computations, data storage, and analytical tools coexist seamlessly. This integration allows business intelligence (BI) analytics projects to be executed more efficiently, as users can perform data processing and analysis without the need to transfer data between disparate systems. By consolidating these components, Databricks SQL streamlines workflows, reduces latency, and enhances data governance. While third-party BI tools may offer advanced dashboarding capabilities, simultaneous multi-user support, and automated alerting systems, they often require integration with separate data processing platforms, which can introduce complexity and potential inefficiencies.

Answer : A

Question 7

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?

AOption A

BOption B

COption C

DOption D

Answer : B

Databricks-Certified-Data-Analyst-Associate Databricks Certified Data Analyst Associate Exam Practice Test