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Databricks Certified Data Analyst Associate Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which statement about subqueries is correct?

A. Subqueries can be used like other user-defined functions to transform data into different data types.
B. Subqueries can retrieve data without requiring the creation of a table or view.
C. Subqueries can be used like other built-in functions to transform data into different data types.
D. Subqueries are not available in Databricks SQL

Answer: B

Explanation:
In Databricks SQL, a subquery is a nested query within a larger SQL query that allows for the retrieval of data without the necessity of creating a table or view. This is particularly useful for simplifying complex queries by breaking them down into more manageable parts. Subqueries can be employed in various clauses such as SELECT, FROM, and WHERE to perform operations like filtering, transforming, and aggregating data on-the-fly. This flexibility enhances query efficiency and readability without the overhead of persisting intermediate results as separate tables or views.

NEW QUESTION # 24
What describes the variance of a set of values?

A. Variance is a measure of how far a single observed value is from a set ot va IN
B. Variance is a measure of how far an observed value is from the variable's maximum or minimum value.
C. Variance is a measure of how far a set of values is spread out from the sets central value.
D. Variance is a measure of central tendency of a set of values.

Answer: C

Explanation:
Variance is a statistical measure that quantifies the dispersion or spread of a set of values around their mean (central value). It is calculated by taking the average of the squared differences between each value and the mean of the dataset. A higher variance indicates that the data points are more spread out from the mean, while a lower variance suggests that they are closer to the mean. This measure is fundamental in statistics to understand the degree of variability within a dataset.WikipediaWikipedia+1Investopedia+1

NEW QUESTION # 25
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?

A. Data bxplorer
B. The Visualization editor
C. The Dashboard Editor
D. The Query Editor

Answer: D

Explanation:
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.

NEW QUESTION # 26
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?

A. Queries page
B. Dashboards page
C. Alerts page
D. Data page
E. SQL Editor page

Answer: E

Explanation:
The SQL Editor page is where the analyst can write and execute SQL queries in Databricks SQL. The SQL Editor page has a query pane where the analyst can type or paste SQL statements, and a results pane where the analyst can view the query results in a table or a chart. The analyst can also browse data objects, edit multiple queries, execute a single query or multiple queries, terminate a query, save a query, download a query result, and more from the SQL Editor page. Reference: Create a query in SQL editor

NEW QUESTION # 27
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/

A. By granting the stakeholders' email addresses permissions to the dashboard
B. By adding the stakeholders' email addresses to the refresh schedule subscribers list
C. By downloading the dashboard as a PDF and emailing it to the stakeholders each time it is refreshed
D. By granting the stakeholders' email addresses to the SQL Warehouse (formerly known as endpoint) subscribers list

Answer: B

Explanation:
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.

NEW QUESTION # 28
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