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Databricks Certified Data Analyst Associate Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
A data analyst has been asked to configure an alert for a query that returns the income in the accounts_receivable table for a date range. The date range is configurable using a Date query parameter.
The Alert does not work.
Which of the following describes why the Alert does not work?

A. The wrong query parameter is being used. Alerts only work with drogdown list query parameters, not dates.
B. Queries that use query parameters cannot be used with Alerts.
C. The wrong query parameter is being used. Alerts only work with Date and Time query parameters.
D. Alerts don't work with queries that access tables.
E. Queries that return results based on dates cannot be used with Alerts.

Answer: B

Explanation:
According to the Databricks documentation1, queries that use query parameters cannot be used with Alerts. This is because Alerts do not support user input or dynamic values. Alerts leverage queries with parameters using the default value specified in the SQL editor for each parameter. Therefore, if the query uses a Date query parameter, the alert will always use the same date range as the default value, regardless of the actual date. This may cause the alert to not work as expected, or to not trigger at all. Reference:
Databricks SQL alerts: This is the official documentation for Databricks SQL alerts, where you can find information about how to create, configure, and monitor alerts, as well as the limitations and best practices for using alerts.

NEW QUESTION # 35
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?

A. DELETE TABLE table_name FROM database_name;
B. DELETE TABLE database_name.table_name;
C. DROP TABLE database_name.table_name;
D. DROP DATABASE database_name;
E. DROP TABLE table_name FROM database_name;

Answer: C

NEW QUESTION # 36
A data analyst has been asked to configure an alert for a query that returns the income in the accounts_receivable table for a date range. The date range is configurable using a Date query parameter.
The Alert does not work.
Which of the following describes why the Alert does not work?

A. The wrong query parameter is being used. Alerts only work with drogdown list query parameters, not dates.
B. Queries that use query parameters cannot be used with Alerts.
C. The wrong query parameter is being used. Alerts only work with Date and Time query parameters.
D. Alerts don't work with queries that access tables.
E. Queries that return results based on dates cannot be used with Alerts.

Answer: B

Explanation:
The reason the alert is not functioning as expected is because Databricks SQL Alerts do not support query parameters. This limitation applies to all types of parameters, including date parameters.
Here's why:
Alerts require static, deterministic query results so they can compare values consistently during scheduled executions.
When a query includes parameters (e.g., a date range parameter), its results may change based on user input or the default value set in the query editor.
However, Databricks SQL Alerts will always use the default value set for the parameter at the time the alert is created. This means the alert doesn't dynamically adapt to new date ranges and will not reflect changes unless the query is manually updated.
As a result, if the business logic behind the alert depends on changing date ranges or any user input, the alert will not trigger correctly, or may never trigger at all.
Therefore, the correct explanation contradicts Option B, which is incorrect in saying that alerts cannot work with date-based queries at all. In fact, they can-as long as the query is static (i.e., without parameters).
Reference:
Databricks SQL Alerts Documentation
Databricks Knowledge: "You cannot use alerts with queries that contain parameters."

NEW QUESTION # 37
Which of the following benefits of using Databricks SQL is provided by Data Explorer?

A. It can be used to run UPDATE queries to update any tables in a database.
B. It can be used to make visualizations that can be shared with stakeholders.
C. It can be used to connect to third party Bl cools.
D. It can be used to view metadata and data, as well as view/change permissions.
E. It can be used to produce dashboards that allow data exploration.

Answer: D

Explanation:
Data Explorer is a user interface that allows you to discover and manage data, schemas, tables, models, and permissions in Databricks SQL. You can use Data Explorer to view schema details, preview sample data, and see table and model details and properties. Administrators can view and change owners, and admins and data object owners can grant and revoke permissions1. Reference: Discover and manage data using Data Explorer

NEW QUESTION # 38
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?

A. The query is selecting region but region should only occur in the ORDER BY clause.
B. The query is using ORDER BY. which is not allowed in an aggregation.
C. There are no mistakes in the query.
D. The query is missing a GROUP BY region clause.
E. The query is using count('). which will count all the customers in the customers table, no matter the region.

Answer: D

Explanation:
In the provided SQL query, the data analyst is trying to count the number of customers in each region. However, they made a mistake by not including the "GROUP BY" clause to group the results by region. Without this clause, the query will not return counts for each distinct region but rather an error or incorrect result. Reference: The need for a GROUP BY clause in such queries can be understood from Databricks SQL documentation: Databricks SQL.
I also noticed that you uploaded an image with your question. The image shows a snippet of an SQL query written in plain text on a white background. The query is attempting to select regions and count customers from a "customers" table and order the results by region. There's no visible syntax highlighting or any other color - it's monochromatic. The query is the same as the one in your question. I'm not sure why you included the image, but maybe you wanted to show me the exact format of your query. If so, you can also use code blocks to display formatted content such as SQL queries. For example, you can write:
SELECT region, count(*) AS number_of_customers
FROM customers
ORDER BY region;
This way, you can avoid uploading images and make your questions more clear and concise. I hope this helps.

NEW QUESTION # 39
......

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Databricks-Certified-Data-Analyst-Associate Exam Quick Prep - Databricks-Certified-Data-Analyst-Associate Latest Exam Pass4sure

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q34-Q39):

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