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Question 697 - SAA-C03 discussion

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A company regularly uploads GB-sized files to Amazon S3. After Ihe company uploads the files, the company uses a fleet of Amazon EC2 Spot Instances to transcode the file format. The company needs to scale throughput when the company uploads data from the on-premises data center to Amazon S3 and when Ihe company downloads data from Amazon S3 to the EC2 instances.

gUkicn solutions will meet these requirements? (Select TWO.)

A.
Use the S3 bucket access point instead of accessing the S3 bucket directly.
Answers
A.
Use the S3 bucket access point instead of accessing the S3 bucket directly.
B.
Upload the files into multiple S3 buckets.
Answers
B.
Upload the files into multiple S3 buckets.
C.
Use S3 multipart uploads.
Answers
C.
Use S3 multipart uploads.
D.
Fetch multiple byte-ranges of an object in parallel. fe
Answers
D.
Fetch multiple byte-ranges of an object in parallel. fe
E.
Add a random prefix to each object when uploading the files.
Answers
E.
Add a random prefix to each object when uploading the files.
Suggested answer: C, D

Explanation:

Requirement Analysis: The company needs to scale throughput for uploading large files to S3 and downloading them to EC2 instances.

S3 Multipart Uploads: This method allows for the parallel upload of parts of a file, improving upload efficiency and reliability.

Parallel Fetching: Fetching multiple byte-ranges in parallel from S3 improves download performance.

Implementation:

For uploads, use the S3 multipart upload API to upload files in parallel.

For downloads, use the S3 API to request multiple byte-ranges concurrently.

Conclusion: These solutions effectively scale throughput and improve the performance of both uploads and downloads.

Reference

S3 Multipart Upload: Amazon S3 Multipart Upload

Parallel Fetching: S3 Byte-Range Fetches

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asked 16/09/2024
Akash Patel
40 questions
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