A company has an application that uses an Amazon Aurora PostgreSQL DB cluster for the application's database. The DB cluster contains one small primary instance and three larger replica instances. The application runs on an AWS Lambda function. The application makes many short-lived connections to the database's replica instances to perform read-only operations.
During periods of high traffic, the application becomes unreliable and the database reports that too many connections are being established. The frequency of high-traffic periods is unpredictable.
Which solution will improve the reliability of the application?
A company operates quick-service restaurants. The restaurants follow a predictable model with high sales traffic for 4 hours daily Sales traffic is lower outside of those peak hours.
The point of sale and management platform is deployed in the AWS Cloud and has a backend that is based on Amazon DynamoDB. The database table uses provisioned throughput mode with 100.000 RCUs and 80.000 WCUs to match known peak resource consumption.
The company wants to reduce its DynamoDB cost and minimize the operational overhead for the IT staff.
Which solution meets these requirements MOST cost-effectively?
A company has an application that uses AWS Key Management Service (AWS KMS) to encrypt and decrypt data. The application stores data in an Amazon S3 bucket in an AWS Region. Company security policies require the data to be encrypted before the data is placed into the S3 bucket. The application must decrypt the data when the application reads files from the S3 bucket.
The company replicates the S3 bucket to other Regions. A solutions architect must design a solution so that the application can encrypt and decrypt data across Regions. The application must use the same key to decrypt the data in each Region.
Which solution will meet these requirements?
A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors. Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events.
The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution.
Which strategy meets these requirements?
TESTED 22 Dec 2024
