Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Google Professional Cloud Developer Exam - Topic 16 Question 101 Discussion

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?
D) Create 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.
A) Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.
B) Create 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.
C) Create 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.

Google Professional Cloud Developer Exam - 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?

Show Suggested Answer Hide Answer
Suggested Answer: D

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

Limited Time Offer

25%

Off

Get Premium Professional Cloud Developer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Lera
9 months ago
Surprised to see so many options, thought it’d be simpler!
upvoted 0 times
...
Tammara
9 months ago
Moving to HDD? That sounds risky for performance.
upvoted 0 times
...
Marjory
10 months ago
Isn't BigQuery better for analytics though?
upvoted 0 times
...
Veda
10 months ago
Totally agree, option D seems the best for minimal changes!
upvoted 0 times
...
Dana
10 months ago
I heard Cloud Dataproc is great for Hadoop migrations.
upvoted 0 times
...
Elly
10 months ago
I'm a bit confused about the cost implications of using HDD versus SSD in Compute Engine. I thought SSDs were generally better for performance, but maybe HDDs are cheaper?
upvoted 0 times
...
Frederic
11 months ago
I practiced a similar question about migrating Hadoop, and I feel like using Cloud Dataproc makes sense since it supports Hadoop jobs directly.
upvoted 0 times
...
Ezekiel
11 months ago
I think migrating to BigQuery could be a good choice, but it might require more changes to the analytics jobs than we want.
upvoted 0 times
...
Leontine
11 months ago
I remember we discussed how Cloud Dataproc can help with minimal changes to existing jobs, but I'm not sure if moving data to Cloud Storage is the best option.
upvoted 0 times
...
Moon
11 months ago
I feel pretty confident about this one. The key is to leverage a managed service like Cloud Dataproc to handle the migration, and then use Cloud Storage for the data to reduce costs. Option D seems like the best approach to me.
upvoted 0 times
...
Lai
11 months ago
Option C looks promising - using Cloud Dataproc to migrate the Hadoop environment while moving the data to larger, cheaper storage. That could be a good balance of cost savings and minimal changes.
upvoted 0 times
...
Malcom
11 months ago
Hmm, I'm a bit confused by the options. Migrating to BigQuery seems like a big change, and I'm not sure if that would really meet the requirement of minimal changes. I'll have to think this through carefully.
upvoted 0 times
...
Thora
11 months ago
This seems like a straightforward migration question. I'd focus on minimizing changes to the existing architecture and jobs, so I'm leaning towards option D.
upvoted 0 times
...
Louvenia
11 months ago
I think I'm leaning towards Option C. Migrating to a Dataproc cluster and using larger HDD disks seems like a good balance of cost savings and minimal changes.
upvoted 0 times
...
Juan
11 months ago
I'm a bit confused by the differences between the Dataproc and BigQuery options. I'll need to research those more to decide.
upvoted 0 times
...
Leonida
11 months ago
Option D sounds promising - migrating the code and using Cloud Storage could help minimize changes while saving on storage costs.
upvoted 0 times
...
Audria
11 months ago
Hmm, the options seem to cover a range of approaches. I'll need to think through the pros and cons of each one.
upvoted 0 times
...
Thurman
11 months ago
This looks like a tricky question. I'll need to carefully consider the requirements around minimal changes and cost savings.
upvoted 0 times
...
Kristofer
1 year 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.
upvoted 0 times
Rodolfo
1 year ago
Let's proceed with creating a Cloud Dataproc cluster and migrating our Hadoop code objects to the new cluster.
upvoted 0 times
...
Amie
1 year ago
We should definitely consider moving our data to Cloud Storage and leveraging the Cloud Dataproc connector.
upvoted 0 times
...
Rima
1 year ago
Option D does seem like a good balance of cost savings and minimal changes to our architecture.
upvoted 0 times
...
Jacob
1 year ago
I agree, rewriting all those jobs for BigQuery does seem like a lot of unnecessary work.
upvoted 0 times
...
...
Selene
1 year 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.
upvoted 0 times
...
Vonda
1 year 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.
upvoted 0 times
Mitzie
1 year ago
Yeah, moving our data to Cloud Storage and using the Cloud Dataproc connector sounds like a more efficient solution.
upvoted 0 times
...
Daryl
1 year ago
I agree, Option D seems like a better choice for optimizing storage costs.
upvoted 0 times
...
...
Corinne
1 year 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.
upvoted 0 times
...
Cassie
1 year 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.
upvoted 0 times
Tyisha
1 year ago
Yes, it's important to find a solution that minimizes changes to our existing data analytics jobs and architecture.
upvoted 0 times
...
Kaycee
1 year ago
We should definitely consider moving our data to Cloud Storage to save on storage costs.
upvoted 0 times
...
Darrel
1 year ago
I agree, leveraging the Cloud Dataproc connector will definitely make it easier to run our jobs on the new data location.
upvoted 0 times
...
Dallas
1 year 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.
upvoted 0 times
...
...
Solange
1 year 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.
upvoted 0 times
...
Nathalie
1 year 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.
upvoted 0 times
...

Save Cancel