Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter You want to utilize the cloud to help you scale this upcoming…

The correct answer is B. Google Cloud Dataproc. Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated…

Submitted by haru.x· Mar 30, 2026Managing and provisioning cloud solution infrastructure

Question

Your company is forecasting a sharp increase in the number and size of Apache Spark and Hadoop jobs being run on your local datacenter You want to utilize the cloud to help you scale this upcoming demand with the least amount of operations work and code change. Which product should you use?

Options

AGoogle Cloud Dataflow
BGoogle Cloud Dataproc
CGoogle Compute Engine
DGoogle Container Engine

How the community answered

(25 responses)

A
4% (1)
B
92% (23)
C
4% (1)

Explanation

Google Cloud Dataproc is a fast, easy-to-use, low-cost and fully managed service that lets you run the Apache Spark and Apache Hadoop ecosystem on Google Cloud Platform. Cloud Dataproc provisions big or small clusters rapidly, supports many popular job types, and is integrated with other Google Cloud Platform services, such as Google Cloud Storage and Stackdriver Logging, thus helping you reduce TCO.

Topics

#Cloud Dataproc#Apache Spark#Hadoop#managed services

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