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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

Question 1

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. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
C. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
D. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role

Question 2

Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A. YARN
B. Spark
C. Pig
D. Hive

Question 3

Which of these is not a supported method of putting data into a partitioned table?

A. Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".
B. Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
C. If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
D. Create a partitioned table and stream new records to it every day.

Question 4

You operate an IoT pipeline built around Apache Kafka that normally receives around 5000 messages per second. You want to use Google Cloud Platform to create an alert as soon as the moving average over 1 hour drops below 4000 messages per second. What should you do?

A. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
B. Set a sliding time window of 1 hour every 5 minute
C. If that number falls below 4000, send an alert.
D. Set a fixed time window of 1 hour.Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
E. Use Cloud Scheduler to run a script every five minutes that counts the number of rows created in BigQuery in the last hour
F. Use Kafka Connect to link your Kafka message queue to Cloud Pub/Su
G. Use Cloud Scheduler to run a script every hour that counts the number of rows created in Cloud Bigtable in the last hour
H. Consume the stream of data in Cloud Dataflow using Kafka I
I. Consume the stream of data in Cloud Dataflow using Kafka I
J. If that number falls below 4000, send an alert.
K. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to BigQuer
L. Compute the average when the window closes, and send an alert if the average is less than 4000 messages.
M. Use a Cloud Dataflow template to write your messages from Cloud Pub/Sub to Cloud Bigtabl

Question 5

All Google Cloud Bigtable client requests go through a front-end server they are sent to a Cloud Bigtable node.

A. before
B. once
C. only if
D. after

Solutions: