Free Databricks Certified Data Engineer Associate Exam Dumps

MultipleChoice

A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when It is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.

Which approach can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

MultipleChoice

A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.

Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

MultipleChoice

A data analyst has developed a query that runs against Delta table. They want help from the data engineering team to implement a series of tests to ensure the data returned by the query is clean. However, the data engineering team uses Python for its tests rather than SQL.

Which of the following operations could the data engineering team use to run the query and operate with the results in PySpark?

MultipleChoice

A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.

Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

A.

CREATE TABLE all_transactions AS

SELECT * FROM march_transactions

INNER JOIN SELECT * FROM april_transactions;

B.

CREATE TABLE all_transactions AS

SELECT * FROM march_transactions

UNION SELECT * FROM april_transactions;

C.

CREATE TABLE all_transactions AS

SELECT * FROM march_transactions

OUTER JOIN SELECT * FROM april_transactions;

D.

CREATE TABLE all_transactions AS

SELECT * FROM march_transactions

INTERSECT SELECT * from april_transactions;

E.

CREATE TABLE all_transactions AS

SELECT * FROM march_transactions

MERGE SELECT * FROM april_transactions;