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Question 67 - Professional Cloud Architect discussion

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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?

A.
Google Cloud Dataflow
Answers
A.
Google Cloud Dataflow
B.
Google Cloud Dataproc
Answers
B.
Google Cloud Dataproc
C.
Google Compute Engine
Answers
C.
Google Compute Engine
D.
Google Kubernetes Engine
Answers
D.
Google Kubernetes Engine
Suggested answer: B

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. References: https://cloud.google.com/dataproc/docs/ resources/faq

asked 18/09/2024
jim eagleton
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