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PROFESSIONAL-DATA-ENGINEER · Question #17
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. Th
The correct answer is D. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.. Explanation/Reference: Dataproc is used to migrate Hadoop and Spark jobs on GCP. Dataproc with GCS connected through Google Cloud Storage connector helps store data after the life of the cluster. When the job is high I/O intensive, then we need to create a small persistent disk.
Submitted by daniela_cl· Mar 30, 2026Building and operationalizing data processing systems
Question
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?
Options
- ACreate a Google Cloud Dataflow job to process the data.
- BCreate a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
- CCreate a Hadoop cluster on Google Compute Engine that uses persistent disks.
- DCreate a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
- ECreate a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
How the community answered
(50 responses)- A6% (3)
- B2% (1)
- C18% (9)
- D70% (35)
- E4% (2)
Explanation
Explanation/Reference: Dataproc is used to migrate Hadoop and Spark jobs on GCP. Dataproc with GCS connected through Google Cloud Storage connector helps store data after the life of the cluster. When the job is high I/O intensive, then we need to create a small persistent disk.
Topics
#Cloud Dataproc#Hadoop migration#GCS connector#cluster management
Community Discussion
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