A company recently migrated to the AWS Cloud. The company wants a serverless solution for large-scale parallel on-demand processing of a semistructured dataset. The data consists of logs, media files, sales transactions, and IoT sensor data that is stored in Amazon S3. The company wants the solution to process thousands of items in the dataset in parallel. Which solution will meet these requirements with the MOST operational efficiency?

Questions › Category: SAA-C03 › A company recently migrated to the AWS Cloud. The company wants a serverless solution for large-scale parallel on-demand processing of a semistructured dataset. The data consists of logs, media files, sales transactions, and IoT sensor data that is stored in Amazon S3. The company wants the solution to process thousands of items in the dataset in parallel. Which solution will meet these requirements with the MOST operational efficiency?

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Admin Staff asked 11 months ago

A company recently migrated to the AWS Cloud. The company wants a serverless solution for large-scale parallel on-demand processing of a semistructured dataset. The data consists of logs, media files, sales transactions, and IoT sensor data that is stored in Amazon S3. The company wants the solution to process thousands of items in the dataset in parallel.
Which solution will meet these requirements with the MOST operational efficiency?

A. Use the AWS Step Functions Map state in Inline mode to process the data in parallel.

B. Use the AWS Step Functions Map state in Distributed mode to process the data in parallel.

C. Use AWS Glue to process the data in parallel.

D. Use several AWS Lambda functions to process the data in parallel.








 

Correct Answer: B

This question is in SAA-C03 exam
For getting AWS Certified Solutions Architect Associate Certificate


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