Prioritize Your Study Time Databricks-Certified-Data-Analyst-Associate CONPLETE STUDY GUIDE
Prioritize Your Study Time Databricks-Certified-Data-Analyst-Associate CONPLETE STUDY GUIDE
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Databricks Certified Data Analyst Associate Exam Sample Questions (Q49-Q54):
NEW QUESTION # 49
A data analyst has created a Query in Databricks SQL, and now wants to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.
Which step will the data analyst need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?
- A. Alter the Query to return two separate sets of results.
- B. Copy the Query and create one data visualization per query.
- C. Decide on a single data visualization to add to the dashboard.
- D. Add two separate visualizations to the dashboard based on the same Query.
Answer: D
NEW QUESTION # 50
A business analyst has been asked to create a data entity/object called sales_by_employee. It should always stay up-to-date when new data are added to the sales table. The new entity should have the columns sales_person, which will be the name of the employee from the employees table, and sales, which will be all sales for that particular sales person. Both the sales table and the employees table have an employee_id column that is used to identify the sales person.
Which of the following code blocks will accomplish this task?
- A.
- B.
- C.
- D.
Answer: C
Explanation:
The SQL code provided in Option D is the correct way to create a view named sales_by_employee that will always stay up-to-date with the sales and employees tables. The code uses the CREATE OR REPLACE VIEW statement to define a new view that joins the sales and employees tables on the employee_id column. It selects the employee_name as sales_person and all sales for each employee, ensuring that the data entity/object is always up-to-date when new data are added to these tables.
NEW QUESTION # 51
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. The Dashboard Editor
- B. Data bxplorer
- C. The Query Editor
- D. The Visualization editor
Answer: C
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 # 52
A data analyst has created a Query in Databricks SQL, and now they want to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.
Which of the following steps will they need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?
- A. They will need to decide on a single data visualization to add to the dashboard.
- B. They will need to alter the Query to return two separate sets of results.
- C. They will need to add two separate visualizations to the dashboard based on the same Query.
- D. They will need to create two separate dashboards.
- E. They will need to copy the Query and create one data visualization per query.
Answer: C
Explanation:
A data analyst can create multiple visualizations from the same query in Databricks SQL by clicking the + button next to the Results tab and selecting Visualization. Each visualization can have a different type, name, and configuration. To add a visualization to a dashboard, the data analyst can click the vertical ellipsis button beneath the visualization, select + Add to Dashboard, and choose an existing or new dashboard. The data analyst can repeat this process for each visualization they want to add to the same dashboard. Reference: Visualization in Databricks SQL, Visualize queries and create a dashboard in Databricks SQL
NEW QUESTION # 53
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. There is no default. The user must choose a visualization type.
- B. IBar Chart
- C. Histogram
- D. Violin Chart
- E. Line Chart
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 # 54
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