Topic 1 Question 463
An IoT 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?
Use AWS Glue with a Scala job
Use Amazon EMR with an Apache Spark script
Use AWS Lambda with a Python script
Use AWS Glue with a PySpark job
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コメント(3)
- 正解だと思う選択肢: C
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.
👍 4LONGMEN2023/05/18 - 正解だと思う選択肢: C
c anyway the MOST cost-effectively
👍 2nosense2023/05/17 - 正解だと思う選択肢: C
I reckon C, but I would consider other well founded options.
👍 1antropaws2023/06/05
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