Google Professional Data Engineer Exam Professional-Data-Engineer Question # 22 Topic 3 Discussion

Google Professional Data Engineer Exam Professional-Data-Engineer Question # 22 Topic 3 Discussion

Professional-Data-Engineer Exam Topic 3 Question 22 Discussion:
Question #: 22
Topic #: 3

You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?


A.

Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.


B.

Add a new column called FullName to the Users table. Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.


C.

Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.


D.

Use BigQuery to export the data for the table to a CSV file. Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullName. Run a BigQuery load job to load the new CSV file into BigQuery.


Get Premium Professional-Data-Engineer Questions

Contribute your Thoughts:


Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.