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Google Data Engineer Sample Questions:

1. When a Cloud Bigtable node fails, is lost.

A) the time dimension
B) the last transaction
C) all data
D) no data

2. You want to automate execution of a multi-step data pipeline running on Google Cloud. The pipeline includes Cloud Dataproc and Cloud Dataflow jobs that have multiple dependencies on each other. You want to use managed services where possible, and the pipeline will run every day. Which tool should you use?

A) Workflow Templates on Cloud Dataproc
B) Cloud Composer
C) Cloud Scheduler
D) cron

3. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

A) Trigger based on element size in bytes
B) Trigger based on time
C) Trigger based on element count
D) Trigger that is a combination of other triggers

4. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

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

5. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
B) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
C) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
D) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter

Solutions: