Start Your Preparation with Databricks Certified Data Analyst Associate Dumps (V10.02): The Most Current Materials with a Passing Guarantee

Focus on DumpsBase and attention, the Databricks Certified Data Analyst Associate dumps have been updated to V10.02, offering 65 practice exam questions and answers to help you start exam preparation. You can download the Databricks Certified Data Analyst Associate exam PDF file on any device and start your Databricks Certified Data Analyst Associate exam preparation straight after the download. And you can also download the software for free to practice all the questions and answers, like attending a real exam. These Databricks Certified Data Analyst Associate practice questions and answers cover all the exam topics and are easy to learn. Learn all the Q&As in the Databricks Certified Data Analyst Associate dumps (V10.02) to ensure your success in one go.

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1. Which of the following layers of the medallion architecture is most commonly used by data analysts?

2. 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?

3. Which of the following describes how Databricks SQL should be used in relation to other business intelligence (BI) tools like Tableau, Power BI, and looker?

4. Which of the following approaches can be used to connect Databricks to Fivetran for data ingestion?

5. Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.

Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

6. A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.

Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

7. A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every minute. A data analyst has created a dashboard based on this gold-level data. The project stakeholders want to see the results in the dashboard updated within one minute or less of new data becoming available within the gold-level tables.

Which of the following cautions should the data analyst share prior to setting up the dashboard to complete this task?

8. Which of the following approaches can be used to ingest data directly from cloud-based object storage?

9. A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.

Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

10. A data analyst needs to use the Databricks Lakehouse Platform to quickly create SQL queries and data visualizations. It is a requirement that the compute resources in the platform can be made serverless, and it is expected that data visualizations can be placed within a dashboard.

Which of the following Databricks Lakehouse Platform services/capabilities meets all of these requirements?

11. A data analyst is attempting to drop a table my_table. The analyst wants to delete all table metadata and data.

They run the following command:

DROP TABLE IF EXISTS my_table;

While the object no longer appears when they run SHOW TABLES, the data files still exist.

Which of the following describes why the data files still exist and the metadata files were deleted?

12. After running DESCRIBE EXTENDED accounts.customers;, the following was returned:

Now, a data analyst runs the following command:

DROP accounts.customers;

Which of the following describes the result of running this command?

13. Which of the following should data analysts consider when working with personally identifiable information (PII) data?

14. Delta Lake stores table data as a series of data files, but it also stores a lot of other information.

Which of the following is stored alongside data files when using Delta Lake?

15. Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?

16. Which of the following benefits of using Databricks SQL is provided by Data Explorer?

17. The stakeholders.customers table has 15 columns and 3,000 rows of dat a. The following command is run:

After running SELECT * FROM stakeholders.eur_customers, 15 rows are returned. After the command executes completely, the user logs out of Databricks.

After logging back in two days later, what is the status of the stakeholders.eur_customers view?

18. A data analyst created and is the owner of the managed table my_ table. They now want to change ownership of the table to a single other user using Data Explorer.

Which of the following approaches can the analyst use to complete the task?

A. Edit the Owner field in the table page by removing their own account

B. Edit the Owner field in the table page by selecting All Users

C. Edit the Owner field in the table page by selecting the new owner's account

D. Edit the Owner field in the table page by selecting the Admins group

E. Edit the Owner field in the table page by removing all access

19. 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?

20. A data analyst runs the following command:

SELECT age, country

FROM my_table

WHERE age >= 75 AND country = 'canada';

Which of the following tables represents the output of the above command?

A)

B)

C)

D)

E)


 

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