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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?

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Suggested Answer: D

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

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Kristofer
2 months 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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Rima
5 days ago
Option D does seem like a good balance of cost savings and minimal changes to our architecture.
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Jacob
6 days ago
I agree, rewriting all those jobs for BigQuery does seem like a lot of unnecessary work.
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Selene
2 months 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
2 months 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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Mitzie
1 months ago
Yeah, moving our data to Cloud Storage and using the Cloud Dataproc connector sounds like a more efficient solution.
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Daryl
1 months ago
I agree, Option D seems like a better choice for optimizing storage costs.
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Corinne
2 months 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
2 months 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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Tyisha
28 days ago
Yes, it's important to find a solution that minimizes changes to our existing data analytics jobs and architecture.
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Kaycee
1 months ago
We should definitely consider moving our data to Cloud Storage to save on storage costs.
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Darrel
1 months ago
I agree, leveraging the Cloud Dataproc connector will definitely make it easier to run our jobs on the new data location.
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Dallas
1 months 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.
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Solange
2 months 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
2 months 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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