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A company has many AWS accounts and uses AWS Organizations to manage all of them. A solutions architect must implement a solution that the company can use to share a common network across multiple accounts.
The company's infrastructure team has a dedicated infrastructure account that has a VPC. The infrastructure team must use this account to manage the network. Individual accounts cannot have the ability to manage their own networks. However, individual accounts must be able to create AWS resources within subnets.
Which combination of actions should the solutions architect perform to meet these requirements? (Select TWO.)
https://docs.aws.amazon.com/vpc/latest/userguide/sharing-managed-prefix-lists.html
A company is migrating its infrastructure to the AWS Cloud. The company must comply with a variety of regulatory standards for different projects. The company needs a multi-account environment.
A solutions architect needs to prepare the baseline infrastructure. The solution must provide a consistent baseline of management and security, but it must allow flexibility for different compliance requirements within various AWS accounts. The solution also needs to integrate with the existing on-premises Active Directory Federation Services (AD FS) server.
Which solution meets these requirements with the LEAST amount of operational overhead?
AWS Control Tower automates the setup of a well-architected, multi-account AWS environment following AWS best practices. It provides a consistent baseline of governance, security, and management controls through guardrails, while still allowing flexibility for different compliance requirements in individual accounts. Control Tower integrates seamlessly with AWS IAM Identity Center (formerly AWS SSO), which can be federated with the existing on-premises AD FS server for authentication. This combination provides the least operational overhead compared to manually configuring AWS Organizations, SCPs, and identity federation separately.
A company's solutions architect is reviewing a web application that runs on AWS. The application references static assets in an Amazon S3 bucket in the us-east-1 Region. The company needs resiliency across multiple AWS Regions. The company already has created an S3 bucket in a second Region.
Which solution will meet these requirements with the LEAST operational overhead?
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/high_availability_origin_failover.html
A company is migrating its on-premises file transfer solution to AWS Transfer Family. The current system includes an SFTP server, a transformation application, and a messaging server. Transformations run every 5 minutes and notify the messaging server when complete.
The company wants to simplify and reduce operational overhead.
C is correct: AWS Transfer Family can store uploaded files directly into Amazon S3.S3 event notificationscan triggerAWS Glue jobsto transform the data. Upon successful transformation, Glue can send a message toAmazon SQS, enabling event-driven architecture with minimal management.
A and D involve cron jobs or scheduled Glue jobs, which increase operational overhead and delay.
B (EMR) is overkill for frequent, lightweight transformations.
A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.
A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.
Which solution will meet these requirements?
Deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (Amazon ECR) and creating a Lambda layer that uses the Docker image as the source. Then, deploying the API's Lambda functions as Zip packages and configuring the packages to use the Lambda layer would meet the requirements for simplifying the deployment and optimizing for code reuse.
A Lambda layer is a distribution mechanism for libraries, custom runtimes, and other function dependencies. It allows you to manage your in-development function code separately from your dependencies, this way you can easily update your dependencies without having to update your entire function code.
By deploying the shared libraries and custom classes to a Docker image and uploading the image to Amazon Elastic Container Registry (ECR), it makes it easy to manage and version the dependencies. This way, the company can use the same version of the dependencies across different Lambda functions.
By creating a Lambda layer that uses the Docker image as the source, the company can configure the API's Lambda functions to use the layer, reducing the need to include the dependencies in each function package, and making it easy to update the dependencies across all functions at once.
AWS Lambda Layers documentation:https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
AWS Elastic Container Registry (ECR) documentation:https://aws.amazon.com/ecr/
Building Lambda Layers with Docker documentation:https://aws.amazon.com/blogs/compute/building-lambda-layers-with-docker/
