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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

Question 1

Which Google Cloud Platform service is an alternative to Hadoop with Hive?

A. BigQuery
B. Cloud Datastore
C. Cloud Dataflow
D. Cloud Bigtable

Question 2

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

Question 3

You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A. Increase the number of max workers
B. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
C. Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
D. Create a temporary table in Cloud Bigtable that will act as a buffer for new data
E. Use a larger instance type for your Cloud Dataflow workers
F. Change the zone of your Cloud Dataflow pipeline to run in us-central1
G. Create a temporary table in Cloud Spanner that will act as a buffer for new data

Question 4

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

A. Transform
B. Sink API
C. PCollection
D. Pipeline

Question 5

You are selecting services to write and transform JSON messages from Cloud Pub/Sub to BigQuery for a data pipeline on Google Cloud. You want to minimize service costs. You also want to monitor and accommodate input data volume that will vary in size with minimal manual intervention. What should you do?

A. Use Cloud Dataproc to run your transformation
B. Use the diagnose command to generate an operational output archiv
C. Use Cloud Dataflow to run your transformation
D. Resize the number of worker nodes in your cluster via the command line.
E. Monitor the total execution time for a sampling of job
F. Use Cloud Dataflow to run your transformation
G. Monitor the job system lag with Stackdrive
H. Monitor CPU utilization for the cluste
I. Configure the job to use non-default Compute Engine machine types when needed.
J. Use the default autoscaling setting for worker instances.
K. Use Cloud Dataproc to run your transformation
L. Locate the bottleneck and adjust cluster resources.

Solutions: