Google Exam Professional Cloud Developer Topic 16 Question 101 Discussion

Actual exam question for Google's Professional Cloud Developer exam

Question #: 101
Topic #: 16

[All Professional Cloud Developer Questions]

Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture. How should you proceed with the migration?

AMigrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.

BCreate Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.

CCreate a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.

DCreate a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.

Show Suggested Answer

Suggested Answer: D

by Jaime at Jan 26, 2025, 04:24 PM

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Kristofer

2 days ago

Option A looks tempting, but I'm not sure BigQuery is the best fit for our existing Hadoop-based analytics jobs. Rewriting all those jobs seems like a lot of unnecessary work. Option D seems like the perfect balance of cost savings and minimal changes to our architecture.

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Selene

3 days ago

Haha, Option B is a classic 'let's just throw more hardware at the problem' approach. I doubt our management would be too impressed with that strategy. We need a more strategic, cloud-focused solution like what's described in Option D.

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Vonda

11 days ago

I'm a bit skeptical about Option C. Migrating HDFS data to larger HDD disks doesn't seem like it will address the core issue of high storage costs. We should look for a solution that truly optimizes our storage costs, like Option D.

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Corinne

14 days ago

I prefer option D. Moving our data to Cloud Storage and using the Cloud Dataproc connector for running jobs seems like a more scalable solution for our company's needs.

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Cassie

15 days ago

Option D seems like the most straightforward approach. It allows us to keep our existing Hadoop code while migrating the data to the more cost-effective Cloud Storage. The Cloud Dataproc connector will make it easy to run our jobs on the new data location.

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Solange

17 days ago

I agree with Nathalie. Option C seems like the most efficient way to proceed with the migration while minimizing changes to our existing architecture.

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Nathalie

18 days ago

I think option C sounds like a good plan. It allows us to migrate our Hadoop environment to Cloud Dataproc and save on storage costs by moving data to larger HDD disks.

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