Google Exam Professional-Cloud-Architect Topic 4 Question 93 Discussion

Actual exam question for Google's Google Cloud Architect Professional exam

Question #: 93
Topic #: 4

[All Google Cloud Architect Professional Questions]

Your company is planning to upload several important files to Cloud Storage. After the upload is completed, they want to verify that the upload content is identical to what they have on- premises. You want to minimize the cost and effort of performing this check. What should you do?

A1) Use gsutil -m to upload all the files to Cloud Storage.
2) Use gsutil cp to download the uploaded files
3) Use Linux diff to compare the content of the files

B1) Use gsutil -m to upload all the files to Cloud Storage.
2) Develop a custom Java application that computes CRC32C hashes
3) Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files
4) Compare the hashes

C1) Use Linux shasum to compute a digest of files you want to upload
2) Use gsutil -m to upload all the files to the Cloud Storage
3) Use gsutil cp to download the uploaded files
4) Use Linux shasum to compute a digest of the downloaded files 5.Compre the hashes

D1) Use gsutil -m to upload all the files to Cloud Storage.
2) Use gsutil hash -c FILE_NAME to generate CRC32C hashes of all on-premises files
3) Use gsutil ls -L gs://[YOUR_BUCKET_NAME] to collect CRC32C hashes of the uploaded files
4) Compare the hashes

Show Suggested Answer

Suggested Answer: D

https://cloud.google.com/storage/docs/gsutil/commands/hash

by Horace at Sep 18, 2024, 05:13 AM

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Kris

3 days ago

Option B is the clear winner here. Who has time to download all those files and run a diff? Not me, I'm too busy hunting Pokémon!

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Clare

16 days ago

I prefer option D. Generating CRC32C hashes of on-premises files before uploading and comparing them with the uploaded files seems like a thorough method to verify the content.

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26 days ago

I think option B is the best choice. Developing a custom Java application to compute CRC32C hashes seems like a reliable way to verify the content.

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