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NEW QUESTION: 1
ソリューションアーキテクトがAmazon API Gatewayの背後にある新しいサービスを設計しているサービスのリクエストパターンは予測不可能で、0リクエストから毎秒500を超えるまで突然変化する可能性がありますバックエンドデータベースに保持する必要があるデータの合計サイズは現在予測不可能な将来の成長を伴う1 GB未満データは、単純なKey-Valueリクエストを使用してクエリできますこれらの要件を満たすAWSサービスの組み合わせはどれですか? (2つ選択)
A. AWS Fargate
B. Amazon EC2 Auto Scaling
C. Amazon DynamoDB
D. AWSLambda
E. MySQL互換のAmazon Aurora
Answer: C,D
Explanation:
In this case AWS Lambda can perform the computation and store the data in an Amazon DynamoDB table. Lambda can scale concurrent executions to meet demand easily and DynamoDB is built for key-value data storage requirements and is also serverless and easily scalable. This is therefore a cost effective solution for unpredictable workloads.
CORRECT: "AWS Lambda" is a correct answer.
CORRECT: "Amazon DynamoDB" is also a correct answer.
INCORRECT: "AWS Fargate" is incorrect as containers run constantly and therefore incur costs even when no requests are being made.
INCORRECT: "Amazon EC2 Auto Scaling" is incorrect as this uses EC2 instances which will incur costs even when no requests are being made.
INCORRECT: "Amazon RDS" is incorrect as this is a relational database not a No-SQL database.
It is therefore not suitable for key-value data storage requirements.
References:
https://aws.amazon.com/lambda/features/
https://aws.amazon.com/dynamodb//