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Answer: Create a Dataproc cluster using standard worker instances.
The correct answer is A: Create a Dataproc cluster using standard worker instances. Although using preemptible instances (Option B) can reduce costs, the question's requirement to minimize costs must be balanced with the need to avoid modifying the underlying infrastructure. Preemptible instances can be terminated at any time, which could lead to job failures unless the jobs are fault-tolerant. Since fault tolerance was not specified in the requirements, the safer choice is to use standard worker instances. This approach will minimize infrastructure management effort while ensuring reliability.
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Your company's Data Science team relies heavily on Hadoop jobs for data processing. Currently, these jobs are running on an on-premises Hadoop cluster, and you have been tasked with migrating these jobs to Google Cloud Platform (GCP) without modifying the underlying Hadoop infrastructure. The primary objectives are to minimize both costs and infrastructure management efforts. What should you do?
A
Create a Dataproc cluster using standard worker instances.
B
Create a Dataproc cluster using preemptible worker instances.
C
Manually deploy a Hadoop cluster on Compute Engine using standard instances.
D
Manually deploy a Hadoop cluster on Compute Engine using preemptible instances.