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Exam Professional Data Engineer All Questions

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Exam Professional Data Engineer topic 1 question 19 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 19
Topic #: 1
[All Professional Data Engineer Questions]

Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for- like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage. You want to minimize the storage cost of the migration. What should you do?

  • A. Put the data into Google Cloud Storage.
  • B. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
  • C. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.
  • D. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by [deleted] at March 17, 2020, 4:29 p.m.

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anji007
Highly Voted 2 months ago
Ans: A B: Wrong eVM wont solve the problem of larger storage prices. C: May be, but nothing mentioned in terms of what to tune in the question, also this is like-for-like migration so tuning may not be part of the migration. D: Again, this is like-for-like so need to define what is hot data and which is cold data, also persistent disk costlier than cloud storage.
upvoted 6 times
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Vullibabu
Most Recent 10 months, 3 weeks ago
You are most of the people looking at like for like migration would require 50TB persistent storage but missing to look at CIO concern about cost of block storage...considering CIO concern the option here is cloud storage... moreover that is recommended as well ..
upvoted 1 times
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imran79
1 year, 1 month ago
Option A: Put the data into Google Cloud Storage. This is the best option. Google Cloud Dataproc is designed to work well with Google Cloud Storage. Using GCS instead of Persistent Disk can save money, and GCS offers advantages such as higher durability and the ability to share data across multiple clusters.
upvoted 2 times
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emmylou
1 year, 1 month ago
I have seen this question in other places and I believe that you store the older data in Cloud Storage and retain processing data in persistent disk. D
upvoted 1 times
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hxy8
1 year, 2 months ago
Answer: D Question: A like-for- like migration of the cluster would require 50 TB of Google Persistent Disk per node. which means Persistent is still required.
upvoted 1 times
suku2
1 year, 2 months ago
Google Cloud Storage is designed for 11 9's availability. So it is also kind of persistent storage. Also, it is a Google product, hence recommended. https://cloud.google.com/storage/docs/availability-durability#key-concepts
upvoted 1 times
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GHOST1985
1 year, 3 months ago
the question is talking about block storage , GCS is object storage !
upvoted 1 times
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hjava
1 year, 3 months ago
Selected Answer: A
GCS is cost-effective and also Google's recommendation!
upvoted 1 times
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bha11111
1 year, 8 months ago
Selected Answer: A
Minimize cost then GCS
upvoted 1 times
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Nirca
1 year, 10 months ago
Selected Answer: A
A - is the right answer.
upvoted 1 times
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DGames
1 year, 11 months ago
Selected Answer: A
A - dataproc - storage - cost effective is cloud storage
upvoted 1 times
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devaid
2 years, 1 month ago
Selected Answer: A
Cloud Storage
upvoted 1 times
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sankar_s
2 years, 5 months ago
Selected Answer: A
Cloud Storage is google recommended one
upvoted 1 times
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sumanshu
3 years, 5 months ago
Vote for 'A"
upvoted 2 times
sumanshu
2 months ago
A is correct because Google recommends using Cloud Storage instead of HDFS as it is much more cost effective especially when jobs aren’t running. B is not correct because this will decrease the compute cost but not the storage cost. C is not correct because while this will reduce cost somewhat, it will not be as cost effective as using Cloud Storage. D is not correct because while this will reduce cost somewhat, it will not be as cost effective as using Cloud Storage.
upvoted 6 times
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anudeepgupta42
3 years, 6 months ago
A, Moving the data to GCS will reduce the cost of running the dataproc clusters all the time \
upvoted 1 times
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naga
3 years, 9 months ago
Correct A
upvoted 2 times
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Alasmindas
4 years ago
The correct answer is A - Put the data into google cloud storage. This is what Google always recommend.
upvoted 2 times
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AaronLee
4 years, 2 months ago
Because the cluster is going to end-of-life. So maybe don't need to put hot data in the disk. All can be put in the Cloud Storage. The answer is A.
upvoted 4 times
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