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Google Data Engineer Sample Questions:

1. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Spark
B) Ignite
C) Blaze
D) Fire

2. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
B) Use the WHERE_PARTITIONTIME pseudo column
C) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
D) Use the TABLE_DATE_RANGE function

3. You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?

A) Cloud Scheduler
B) Cloud Dataflow
C) Cloud Composer
D) Cloud Functions

4. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A) Increase the size of the Google Persistent Disk on your server.
B) Increase your network bandwidth from Compute Engine to Cloud Storage.
C) Increase the CPU size on your server.
D) Increase your network bandwidth from your datacenter to GCP.

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

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

Solutions: