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Google Data Engineer Sample Questions:

1. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Deploy a Cloud Dataproc cluste
B) Change references in scripts from hdfs:// to gs://
C) Change references in scripts from hdfs:// to gs://
D) Deploy a Cloud Dataproc cluste
E) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
F) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
G) Use an SSD persistent disk and 50% preemptible worker
H) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
I) Use a standard persistent disk and 50% preemptible worker
J) Install the Cloud Storage connector, and store the data in Cloud Storag
K) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF

2. You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A) Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them
B) Create an API using App Engine to receive and send messages to the applications
C) Create a table on Cloud Spanner, and insert and delete rows with the job information
D) Create a table on Cloud SQL, and insert and delete rows with the job information

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

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

4. You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

A) Store the data in Google Cloud Datastor
B) Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
C) Load the data every 30 minutes into a new partitioned table in BigQuery.
D) Store the data in a file in a regional Google Cloud Storage bucke
E) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
F) Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery

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

Solutions: