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Google Exam Associate Data Practitioner Topic 2 Question 11 Discussion

Actual exam question for Google's Associate Data Practitioner exam
Question #: 11
Topic #: 2
[All Associate Data Practitioner Questions]

You have an existing weekly Storage Transfer Service transfer job from Amazon S3 to a Nearline Cloud Storage bucket in Google Cloud. Each week, the job moves a large number of relatively small files. As the number of files to be transferred each week has grown over time, you are at risk of no longer completing the transfer in the allocated time frame. You need to decrease the total transfer time by replacing the process. Your solution should minimize costs where possible. What should you do?

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Suggested Answer: B

Comprehensive and Detailed in Depth

Why B is correct:Creating parallel transfer jobs by using include and exclude prefixes allows you to split the data into smaller chunks and transfer them in parallel.

This can significantly increase throughput and reduce the overall transfer time.

Why other options are incorrect:A: Changing the storage class to Standard will not improve transfer speed.

C: Dataflow is a complex solution for a simple file transfer task.

D: Agent-based transfer is suitable for large files or network limitations, but not for a large number of small files.


Contribute your Thoughts:

Jolene
9 days ago
I'm leaning towards option C with a batch Dataflow job for a more automated solution.
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Rosann
22 days ago
Option D seems intriguing, but I'm not sure if the added cost of Compute Engine instances is worth it. Might be overkill for this use case.
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Melodie
23 days ago
I disagree, I believe option D with multiple transfer agents would be more efficient.
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Karima
29 days ago
I think option B is the way to go. Using parallel transfer jobs with prefixes sounds like the most efficient way to get this done.
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Sheridan
19 hours ago
B) Create parallel transfer jobs using include and exclude prefixes.
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Maybelle
1 months ago
I think option B sounds like a good idea to speed up the transfer.
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