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Amazon Exam DAS-C01 Topic 2 Question 90 Discussion

Actual exam question for Amazon's DAS-C01 exam
Question #: 90
Topic #: 2
[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?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Galen
10 months ago
I agree with User1, option D seems like a strategic approach to improve the COPY process by applying sharding.
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Gracia
10 months ago
I disagree, I believe option B would be more effective because splitting the files to match the number of slices in the Redshift cluster would optimize the COPY process.
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Tammara
10 months ago
I think option D would be the best solution for accelerating the COPY process.
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Peggy
10 months ago
That's true. Sharding based on DISTKEY columns could be worth considering.
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Melissa
10 months ago
But what about option D? Applying sharding could also improve the COPY process.
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Anastacia
10 months ago
I agree. Splitting the files to match the number of slices in the Redshift cluster makes sense.
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Peggy
10 months ago
I think option B would be the best solution.
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Lashanda
10 months ago
So, yeah, option B seems like the most practical solution for accelerating the COPY process.
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Lenora
10 months ago
Ultimately, that would lead to faster data loading into the Redshift cluster.
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Margery
10 months ago
And having the right number of files could improve parallelism during the COPY operation.
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Melita
10 months ago
It would ensure that the workload is evenly distributed across the cluster.
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Gerri
10 months ago
That could definitely help optimize the COPY process and make it more efficient.
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Candra
10 months ago
I agree, splitting the files based on the number of slices in the Redshift cluster makes sense.
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