The database credentials need to be removed from the Lambda source code. A recent code review found database credentials stored in the source code. A company has an application that calls AWS Lambda functions. Place the backend instances in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDSħ7. Use Amazon S3 to serve the static front-end application and send requests to Amazon API Gateway, which writes the requests to an Amazon SQS queue. Place the backend instance in an Auto Scaling group, and scale based on the queue depth to process and store the data in Amazon RDS.ĭ. Use an EC2 instance to serve the front end and write requests to an Amazon SQS queue. Subscribe Amazon EC2 instances to the HTTP/HTTPS endpoint of the topic, and process and store the data in Amazon RDS.Ĭ. Use Amazon S3 to serve the front-end application and write requests to an Amazon Simple Notification Service (Amazon SNS) topic. The backend application will process and store the data in Amazon RDS.ī. Use Amazon S3 to serve the front-end application, which sends requests to Amazon EC2 to execute the backend application. What should a solutions architect do to decouple the architecture and make it scalable?Ī. The backend application then stores the data in Amazon RDS. The front-end application sends the requests to the backend application running on a separate EC2 instance. The application’s static front end is deployed on an AmazonĮC2 instance. A company built a food ordering application that captures user data and stores it for future analysis. Use Amazon S3 to store and serve users’ images.ħ3. Move the database to an Amazon RDS instance with a Multi-AZ deployment. Use load-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end and backend layers. Move the database to a memory optimized instance type to store and serve users’ images.ĭ. Use Amazon S3 to host the front-end layer and a fleet of Amazon EC2 instances in an Auto Scaling group for the backend layer. Move the database to an Amazon RDS instance with multiple read replicas to store and serve users’ images.Ĭ. Move the database to an Amazon DynamoDB table and use Amazon S3 to store and serve users’ images.ī. Use Amazon S3 to host the front-end layer and AWS Lambda functions for the backend layer. Which solution meets these requirements?Ī. A solutions architect has been tasked with designing a solution that is highly available, and requires the least amount of changes to the application. It uses an Amazon EC2 instance for the front-end layer, another for the backend tier, and a third for the MySQL database. A company has a three-tier image-sharing application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic.ħ1. Create an Auto Scaling group using the launch template. Create a launch template that uses the AMI. Create an Amazon Machine Image (AMI) that consists of the processor application. Create an Amazon SNS topic to send the jobs that need to be processed. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue.ĭ. Create an Amazon SQS queue to hold the jobs that need to be processed. Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage.Ĭ. Create an Auto Scaling group using the launch configuration. Create a launch configuration that uses the AMI. Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage.ī. ![]() Which design should the solutions architect use?Ī. The solutions architect must ensure that the application is loosely coupled and the job items are durably stored. The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed. ![]() A solutions architect is designing the cloud architecture for a new application being deployed on AWS.
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