A company uses AWS CloudFormation to deploy applications within multiple VPCs that are all attached to a transit gateway Each VPC that sends traffic to the public internet must send the traffic through a shared services VPC Each subnet within a VPC uses the default VPC route table and the traffic is routed to the transit gateway The transit gateway uses its default route table for any VPC attachment
A security audit reveals that an Amazon EC2 instance that is deployed within a VPC can communicate with an EC2 instance that is deployed in any of the company's other VPCs A solutions architect needs to limit the traffic between the VPCs. Each VPC must be able to communicate only with a predefined, limited set of authorized VPCs.
What should the solutions architect do to meet these requirements'?
You can segment your network by creating multiple route tables in an AWS Transit Gateway and associate Amazon VPCs and VPNs to them. This will allow you to create isolated networks inside an AWS Transit Gateway similar to virtual routing and forwarding (VRFs) in traditional networks. The AWS Transit Gateway will have a default route table. The use of multiple route tables is optional.
A company uses AWS Organizations. The company creates a central VPC in an AWS account that is designated for networking in a single AWS Region. The central VPC has an AWS Site-to-Site VPN connection to the company's on-premises network. A solutions architect must create another AWS account that uses the same networking resources that the central VPC uses.
Which solution meets these requirements MOST cost-effectively?
A video processing company has an application that downloads images from an Amazon S3 bucket, processes the images, stores a transformed image in a second S3 bucket, and updates metadata about the image in an Amazon DynamoDB table. The application is written in Node.js and runs by using an AWS Lambda function. The Lambda function is invoked when a new image is uploaded to Amazon S3.
The application ran without incident for a while. However, the size of the images has grown significantly. The Lambda function is now failing frequently with timeout errors. The function timeout is set to its maximum value. A solutions architect needs to refactor the application's architecture to prevent invocation failures. The company does not want to manage the underlying infrastructure.
Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)
A . Modify the application deployment by building a Docker image that contains the application code. Publish the image to Amazon Elastic Container Registry (Amazon ECR). - This step is necessary to package the application code in a container and make it available for running on ECS. B. Create a new Amazon Elastic Container Service (Amazon ECS) task definition with a compatibility type of AWS Fargate. Configure the task definition to use the new image in Amazon Elastic Container Registry (Amazon ECR). Adjust the Lambda function to invoke an ECS task by using the ECS taskdefinition when a new file arrives in Amazon S3.
A company is developing an application that will display financial reports. The company needs a solution that can store financial Information that comes from multiple systems. The solution must provide the reports through a web interface and must serve the data will less man 500 milliseconds or latency to end users. The solution also must be highly available and must have an RTO or 30 seconds.
Which solution will meet these requirements?
For an application requiring low-latency access to financial information and high availability with a Recovery Time Objective (RTO) of 30 seconds, using Amazon DynamoDB for data storage and Amazon QuickSight for reporting is the most suitable solution. DynamoDB offers fast, consistent, and single-digit millisecond latency for data retrieval, meeting the latency requirements. QuickSight's ability to directly query DynamoDB datasets and provide embedded dashboards for reporting enables real-time financial report generation. This combination ensures high availability and meets the RTO requirement, providing a robust solution for the application's needs.
Amazon DynamoDB Documentation: Describes the features and benefits of DynamoDB, emphasizing its performance and scalability for applications requiring low-latency access to data.
Amazon QuickSight Documentation: Provides information on using QuickSight for creating and embedding interactive dashboards, including direct querying of DynamoDB datasets for real-time data visualization.
A company is planning to migrate an application to AWS. The application runs as a Docker container and uses an NFS version 4 file share.
A solutions architect must design a secure and scalable containerized solution that does not require provisioning or management of the underlying infrastructure.
Which solution will meet these requirements?
This option uses Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to deploy the application containers. Amazon ECS is a fully managed container orchestration service that allows running Docker containers on AWS at scale. Fargate is a serverless compute engine for containers that eliminates the need to provision or manage servers or clusters. With Fargate, the company only pays for the resources required to run its containers, which reduces costs and operational overhead. This option also uses Amazon Elastic File System (Amazon EFS) for shared storage. Amazon EFS is a fully managed file system that provides scalable, elastic, concurrent, and secure file storage for use with AWS cloud services. Amazon EFS supports NFS version 4 protocol, which is compatible with the application's requirements. To use Amazon EFS with Fargate containers, the company needs to reference the EFS file system ID, container mount point, and EFS authorization IAM role in the ECS task definition.
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