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Google Data Engineer Sample Questions:

1. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

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

2. You want to migrate an on-premises Hadoop system to Cloud Dataproc. Hive is the primary tool in use, and the data format is Optimized Row Columnar (ORC). All ORC files have been successfully copied to a Cloud Storage bucket. You need to replicate some data to the cluster's local Hadoop Distributed File System (HDFS) to maximize performance. What are two ways to start using Hive in Cloud Dataproc? (Choose two.)

A) Replicate external Hive tables to the native ones.
B) Leverage Cloud Storage connector for Hadoop to mount the ORC files as external Hive table
C) Load the ORC files into BigQuer
D) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to HDF
E) Leverage BigQuery connector for Hadoop to mount the BigQuery tables as external Hive table
F) Mount the Hive tables locally.
G) Then run the Hadoop utility to copy them do HDF
H) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to the master node of the Dataproc cluste
I) Mount the Hive tables locally.
J) Replicate external Hive tables to the native ones.
K) Run the gsutil utility to transfer all ORC files from the Cloud Storage bucket to any node of the Dataproc cluste
L) Mount the Hive tables from HDFS.

3. 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 BigTable
B) Cloud Datastore
C) Cloud SQL
D) BigQuery

4. 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 Composer
B) Cloud Scheduler
C) Cloud Functions
D) Cloud Dataflow

5. You need to choose a database for a new project that has the following requirements:
Fully managed
Able to automatically scale up
Transactionally consistent
Able to scale up to 6 TB
Able to be queried using SQL Which database do you choose?

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

Solutions: