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Question 499 - SAA-C03 discussion

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An loT company is releasing a mattress that has sensors to collect data about a user's sleep. The sensors will send data to an Amazon S3 bucket. The sensors collect approximately 2 MB of data every night for each mattress. The company must process and summarize the data for each mattress. The results need to be available as soon as possible Data processing will require 1 GB of memory and will finish within 30 seconds.

Which solution will meet these requirements MOST cost-effectively?

A.
Use AWS Glue with a Scalajob.
Answers
A.
Use AWS Glue with a Scalajob.
B.
Use Amazon EMR with an Apache Spark script.
Answers
B.
Use Amazon EMR with an Apache Spark script.
C.
Use AWS Lambda with a Python script.
Answers
C.
Use AWS Lambda with a Python script.
D.
Use AWS Glue with a PySpark job.
Answers
D.
Use AWS Glue with a PySpark job.
Suggested answer: C

Explanation:

AWS Lambda charges you based on the number of invocations and the execution time of your function. Since the data processing job is relatively small (2 MB of data), Lambda is a cost-effective choice. You only pay for the actual usage without the need to provision and maintain infrastructure.

asked 16/09/2024
Joseph Bauer
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