Databricks Certified Data Analyst Associate Dumps Questions – Effective Way to Get Certified

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If you're in the field of Databricks, you know how important it is to stay up-to-date with the latest knowledge and skills to protect your organization's networks and data. One way to do that is by obtaining Data Analyst, specifically the Databricks Certified Data Analyst Associate exam. While preparing for the Databricks Certified Data Analyst Associate exam, you might consider using Databricks Certified Data Analyst Associate dumps to help you familiarize yourself with the exam format and content. These Databricks Certified Data Analyst Associate exam dumps questions can be an effective way to gauge your knowledge and identify areas where you may need additional study. Study online free Databricks Certified Data Analyst Associate exam dumps below.

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1. Query History provides Databricks SQL users with a lot of benefits. A data analyst has been asked to share all of these benefits with their team as part of a training exercise. One of the benefit statements the analyst provided to their team is incorrect.

Which statement about Query History is incorrect?

2. A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.

Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?

A) CREATE TABLE table_silver AS SELECT DISTINCT *

FROM table_bronze;

B) CREATE TABLE table_silver AS

INSERT *

FROM table_bronze;

C) CREATE TABLE table_silver AS

MERGE DEDUPLICATE *

FROM table_bronze;

D) INSERT INTO TABLE table_silver

SELECT * FROM table_bronze;

E) INSERT OVERWRITE TABLE table_silver

SELECT * FROM table_bronze;

3. A data scientist has asked a data analyst to create histograms for every continuous variable in a data set. The data analyst needs to identify which columns are continuous in the data set.

What describes a continuous variable?

4. An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses "Dashboard Parameter" for the query parameter associated with the area chart.

Which of the following statements is true?

5. A data analyst has been asked to provide a list of options on how to share a dashboard with a client. It is a security requirement that the client does not gain access to any other information, resources, or artifacts in the database.

Which of the following approaches cannot be used to share the dashboard and meet the security requirement?

A. Download the Dashboard as a PDF and share it with the client.

B. Set a refresh schedule for the dashboard and enter the client's email address in the "Subscribers" box.

C. Take a screenshot of the dashboard and share it with the client.

D. Generate a Personal Access Token that is good for 1 day and share it with the client.

E. Download a PNG file of the visualizations in the dashboard and share them with the client.

6. 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?

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

8. A data analyst wants the following output:

Which statement will produce this output?

9. 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)



10. A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.

Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?


 

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