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Amazon Exam DAS-C01 Topic 2 Question 95 Discussion

Actual exam question for Amazon's DAS-C01 exam
Question #: 95
Topic #: 2
[All DAS-C01 Questions]

A company receives datasets from partners at various frequencies. The datasets include baseline data and incremental data. The company needs to merge and store all the datasets without reprocessing the data.

Which solution will meet these requirements with the LEAST development effort?

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Suggested Answer: B

by James at Jun 18, 2024, 10:30 PM

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Farrah
9 months ago
That makes sense. I agree with you.
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Phung
9 months ago
Wait, are we sure these are all the right answers? I thought there was supposed to be a 'none of the above' option for these tricky AWS questions.
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Argelia
9 months ago
Because splitting the files to match the number of slices in the Redshift cluster will optimize the COPY process.
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Asuncion
10 months ago
Haha, Shawna's got a point. If you have a skewed distribution on that DISTKEY, option D could be a real game-changer. Gotta love those database optimization tricks!
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Deonna
9 months ago
Definitely, leveraging database optimization techniques is key in scenarios like this.
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Josephine
9 months ago
I agree, it's all about maximizing efficiency when dealing with large datasets.
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Elly
9 months ago
Yeah, sharding based on the DISTKEY columns could really improve performance.
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Cheryl
9 months ago
Option D sounds like a solid choice for optimizing the COPY process.
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Farrah
10 months ago
Why do you think that?
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Argelia
10 months ago
I think option B is the best solution.
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Shawna
10 months ago
Hold on, what if I have a really big DISTKEY column? Wouldn't option D be even better by sharding the files based on that?
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Norah
10 months ago
I was thinking the same thing. Compressing and uploading the files to S3 in a way that aligns with the Redshift architecture is a smart move.
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Darrin
9 months ago
B: D) Apply sharding by breaking up the files so that the DISTKEY columns with the same values go to the same file. Compress and upload the sharded files to Amazon S3. Run the COPY command on the files.
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Myra
10 months ago
A: B) Split the files so that the number of files is equal to a multiple of the number of slices in the Redshift cluster. Compress and upload the files to Amazon S3. Run the COPY command on the files.
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Amie
10 months ago
Option B sounds like the way to go. Splitting the files to match the number of slices in the Redshift cluster should definitely speed up the COPY process.
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Clorinda
9 months ago
Definitely, it's important to optimize the process for faster performance.
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Brock
9 months ago
Yeah, splitting the files to match the number of slices in the Redshift cluster makes a lot of sense.
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Valentin
9 months ago
I agree, option B seems like the most efficient way to accelerate the COPY process.
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