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Amazon Exam DAS-C01 Topic 7 Question 88 Discussion

Actual exam question for Amazon's DAS-C01 exam
Question #: 88
Topic #: 7
[All DAS-C01 Questions]

A company uses Amazon EC2 instances to receive files from external vendors throughout each day. At the end of each day, the EC2 instances combine the files into a single file, perform gzip compression, and upload the single file to an Amazon S3 bucket. The total size of all the files is approximately 100 GB each day.

When the files are uploaded to Amazon S3, an AWS Batch job runs a COPY command to load the files into an Amazon Redshift cluster.

Which solution will MOST accelerate the COPY process?

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Suggested Answer: B

by Annelle at Mar 21, 2024, 12:16 PM

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Denise
9 months ago
I think it depends on the data distribution in the Redshift cluster and the nature of the COPY command.
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Alpha
9 months ago
But wouldn't uploading individual files and running COPY immediately in option A be faster?
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Rikki
10 months ago
I'm leaning towards option C, splitting the files based on compute node storage.
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Art
10 months ago
I disagree, I believe option D with sharding would be more efficient.
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Alpha
10 months ago
I think option B could help accelerate the COPY process.
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Delmy
10 months ago
I see what you mean, Salena. Option D could be worth considering for better performance.
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Salena
10 months ago
That's a valid point, Denny. Option D seems more complex but could potentially optimize the COPY process even more.
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Denny
10 months ago
I'm not sure about option A. It might cause delays in the COPY process if the files are uploaded at different times.
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Delmy
11 months ago
I agree with Salena, option B seems logical. It's all about making the COPY process more efficient.
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Salena
11 months ago
I think option B could be a good solution because it ensures each file size is optimized for the Redshift cluster.
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Broderick
1 years ago
I'm feeling a bit lost on this one. All these options sound like they could work, but I'm not sure which one is the 'most accelerate' solution. Maybe I should just guess and hope for the best?
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Yuki
1 years ago
Option D sounds interesting, with the idea of sharding the files based on the DISTKEY columns. That could potentially improve the performance, but I'm not sure how easy it would be to implement. I might need to do some research on Redshift's data distribution strategies.
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Virgina
1 years ago
Hmm, this is a tricky one. I think the key is figuring out how to optimize the COPY process, but I'm not sure which approach is the best. I'm leaning towards option B, as splitting the files to match the number of slices in the Redshift cluster seems like it could help distribute the load.
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Josephine
1 years ago
I'm not sure about this question. The options seem a bit technical, and I'm not confident in my understanding of Amazon Redshift and COPY commands. I'll have to read through them carefully.
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Oneida
12 months ago
I'm not sure about Option D, it seems a bit complex with sharding the files based on DISTKEY values.
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Delsie
12 months ago
True, dividing the files to optimize storage usage could speed up the COPY process.
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Serina
12 months ago
Option C might also work well by utilizing the free storage on each compute node.
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Amos
12 months ago
I agree, splitting the files to match the number of slices in the Redshift cluster should improve performance.
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Ty
12 months ago
I think Option B is a better idea since splitting the files will help with the COPY process.
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Karl
12 months ago
Option A seems like a good choice because it runs the COPY command as soon as the files are available.
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