Topic 1 Question 567
A solutions architect is designing a workload that will store hourly energy consumption by business tenants in a building. The sensors will feed a database through HTTP requests that will add up usage for each tenant. The solutions architect must use managed services when possible. The workload will receive more features in the future as the solutions architect adds independent components.
Which solution will meet these requirements with the LEAST operational overhead?
Use Amazon API Gateway with AWS Lambda functions to receive the data from the sensors, process the data, and store the data in an Amazon DynamoDB table.
Use an Elastic Load Balancer that is supported by an Auto Scaling group of Amazon EC2 instances to receive and process the data from the sensors. Use an Amazon S3 bucket to store the processed data.
Use Amazon API Gateway with AWS Lambda functions to receive the data from the sensors, process the data, and store the data in a Microsoft SQL Server Express database on an Amazon EC2 instance.
Use an Elastic Load Balancer that is supported by an Auto Scaling group of Amazon EC2 instances to receive and process the data from the sensors. Use an Amazon Elastic File System (Amazon EFS) shared file system to store the processed data.
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コメント(7)
- 正解だと思う選択肢: A
A seems to be the right answer
👍 4mrsoa2023/08/03 - 正解だと思う選択肢: A
"The workload will receive more features in the future ..." -> DynamoDB
👍 3Kiki_Pass2023/08/05 - 正解だと思う選択肢: A
The key reasons are:
° API Gateway removes the need to manage servers to receive the HTTP requests from sensors ° Lambda functions provide a serverless compute layer to process data as needed ° DynamoDB is a fully managed NoSQL database that scales automatically ° This serverless architecture has minimal operational overhead to manage ° Options B, C, and D all require managing EC2 instances which increases ops workload ° Option C also adds SQL Server admin tasks and licensing costs ° Option D uses EFS file storage which requires capacity planning and management
👍 3Guru4Cloud2023/08/21
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