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Databricks Databricks-Certified-Data-Analyst-Associate Exam Dumps Questions and Answers

Exam Code: Databricks-Certified-Data-Analyst-Associate
Certification: Data Analyst
Vendor: Databricks
Last Update: May 21, 2024
Questions: 45
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Databricks Certified Data Analyst Associate Exam Questions and Answers

Questions 1

Consider the following two statements:

Statement 1:

Statement 2:

Which of the following describes how the result sets will differ for each statement when they are run in Databricks SQL?



The first statement will return all data from the customers table and matching data from the orders table. The second statement will return all data from the orders table and matching data from the customers table. Any missing data will be filled in with NULL.


When the first statement is run, only rows from the customers table that have at least one match with the orders table on customer_id will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.


There is no difference between the result sets for both statements.


Both statements will fail because Databricks SQL does not support those join types.


When the first statement is run, all rows from the customers table will be returned and only the customer_id from the orders table will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.

Questions 2

Which of the following statements about a refresh schedule is incorrect?



A query can be refreshed anywhere from 1 minute lo 2 weeks


Refresh schedules can be configured in the Query Editor.


A query being refreshed on a schedule does not use a SQL Warehouse (formerly known as SQL Endpoint).


A refresh schedule is not the same as an alert.


You must have workspace administrator privileges to configure a refresh schedule

Questions 3

A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.

Which of the following projects should be completed in Databricks SQL?



Testing the quality of data as it is imported from a source


Tracking usage of feature variables for machine learning projects


Combining two data sources into a single, comprehensive dataset


Segmenting customers into like groups using a clustering algorithm


Automatingcomplex notebook-based workflows with multiple tasks