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Google Data Engineer Sample Questions:

1. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 100 MB of data
B) Single, Global Window
C) Windows at every 1 minute
D) Windows at every 10 minutes

2. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
B) Increase the number of max workers
C) Change the zone of your Cloud Dataflow pipeline to run in us-central1
D) Use a larger instance type for your Cloud Dataflow workers
E) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
F) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
G) Create a temporary table in Cloud Spanner that will act as a buffer for new data

3. 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: data_pointColumn data: device_id, date
C) Rowkey: dateColumn data: device_id, data_point
D) Rowkey: date#data_pointColumn data: device_id
E) Rowkey: date#device_idColumn data: data_point

4. The YARN ResourceManager and the HDFS NameNode interfaces are available on a Cloud Dataproc cluster .

A) conditional node
B) application node
C) master node
D) worker node

5. You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

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

Solutions: