Databricks Certified Data Analyst Associate Exam Dumps Online: Get Benefits from DumpsBase for the Exam Preparation

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?