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Databricks Certified Data Analyst Associate Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
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 return results based on dates cannot be used with Alerts.
  • C. Queries that use query parameters cannot be used with Alerts.
  • D. The wrong query parameter is being used. Alerts only work with Date and Time query parameters.
  • E. Alerts don't work with queries that access tables.

Answer: C

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 # 16
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 to the SQL Warehouse (formerly known as endpoint) subscribers list
  • B. By adding the stakeholders' email addresses to the refresh schedule subscribers list
  • C. By granting the stakeholders' email addresses permissions to the dashboard
  • D. By downloading the dashboard as a PDF and emailing it to the stakeholders each time it is refreshed

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 # 17
Which statement about subqueries is correct?

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

Answer: A

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 # 18
A data analyst creates a Databricks SQL Query where the result set has the following schema:
region STRING
number_of_customer INT
When the analyst clicks on the "Add visualization" button on the SQL Editor page, which of the following types of visualizations will be selected by default?

  • A. Histogram
  • B. IBar Chart
  • C. Line Chart
  • D. Violin Chart
  • E. There is no default. The user must choose a visualization type.

Answer: B

Explanation:
According to the Databricks SQL documentation, when a data analyst clicks on the "Add visualization" button on the SQL Editor page, the default visualization type is Bar Chart. This is because the result set has two columns: one of type STRING and one of type INT. The Bar Chart visualization automatically assigns the STRING column to the X-axis and the INT column to the Y-axis. The Bar Chart visualization is suitable for showing the distribution of a numeric variable across different categories. Reference: Visualization in Databricks SQL, Visualization types


NEW QUESTION # 19
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?

  • A. Heatmap
  • B. Word Cloud
  • C. Sankey
  • D. Pivot Table
  • E. IChoropleth

Answer: C

Explanation:
A Sankey diagram is a type of visualization that shows the flow of data between different nodes or categories. It is often used to represent the movement of users through a website, as it can show the paths they take, the sources they come from, the pages they visit, and the outcomes they achieve. A Sankey diagram consists of links and nodes, where the links represent the volume or weight of the flow, and the nodes represent the stages or steps of the flow. The width of the links is proportional to the amount of flow, and the color of the links can indicate different attributes or segments of the flow. A Sankey diagram can help identify the most common or popular user journeys, the bottlenecks or drop-offs in the flow, and the opportunities for improvement or optimization. Reference: The answer can be verified from Databricks documentation which provides examples and instructions on how to create Sankey diagrams using Databricks SQL Analytics and Databricks Visualizations. Reference links: Databricks SQL Analytics - Sankey Diagram, Databricks Visualizations - Sankey Diagram


NEW QUESTION # 20
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