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Google Data Engineer Sample Questions:

1. You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A) Dialogflow Enterprise Edition
B) Cloud Speech-to-Text API
C) Cloud Natural Language API
D) Cloud AutoML Natural Language

2. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Execute to Google Cloud Storage; execute to Google Cloud Logging
B) Read and write to Google Cloud Storage; write to Google Cloud Logging
C) Execute to Google Cloud Storage; write to Google Cloud Logging
D) Write to Google Cloud Storage; read to Google Cloud Logging

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

4. 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 that is a combination of other triggers
C) Trigger based on element count
D) Trigger based on time

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

Solutions: