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Google Data Engineer Sample Questions:

1. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Export the data into a Google Sheet for virtualization.
B) Create an additional table with only the necessary columns.
C) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
D) Create a view on the table to present to the virtualization tool.

2. Which Google Cloud Platform service is an alternative to Hadoop with Hive?

A) Cloud Dataflow
B) BigQuery
C) Cloud Datastore
D) Cloud Bigtable

3. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) YARN
B) Hive
C) Pig
D) Spark

4. 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) Add a new column called FullName to the Users tabl
B) 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 FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery.
C) Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
D) Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
E) Use BigQuery to export the data for the table to a CSV fil
F) 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.

5. MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?

A) Rowkey: device_idColumn data: date, data_point
B) Rowkey: dateColumn data: device_id, data_point
C) Rowkey: date#device_idColumn data: data_point
D) Rowkey: date#data_pointColumn data: device_id
E) Rowkey: data_pointColumn data: device_id, date

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