Amazon Web Services Updated SAA-C03 Exam Questions and Answers by chaim

AWS Global Accelerator directs traffic to the optimal healthy endpoint based on health checks, it can also route traffic to the closest healthy endpoint based on geographic location of the client. By configuring an accelerator and attaching it to a Regional endpoint in each Region, and adding the ALB as the endpoint, the solution will redirect traffic to healthy endpoints, improving the user experience by reducing latency and ensuring that the application is running optimally. This solution will ensure that traffic is directed to the closest healthy endpoint and will help to improve the overall user experience.

Versioning is a feature of Amazon S3 that allows users to keep multiple versions of the same object in a bucket. It can help prevent accidental deletion of the documents and ensure that all versions of the documents are available1. MFA Delete is a feature of Amazon S3 that adds an extra layer of security by requiring two forms of authentication to delete a version or change the versioning state of a bucket. It can help prevent unauthorized or accidental deletion of the documents2. By enabling both versioning and MFA Delete on the bucket, the solution can meet the requirements.

A. Enable a read-only bucket ACL. This solution will not meet the requirement of allowing users to download, modify, and upload documents, as a read-only bucket ACL will prevent write access to the bucket3.

C. Attach an IAM policy to the bucket. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as an IAM policy is used to grant or deny permissions to users or roles, not to enable versioning or MFA Delete4.

E. Encrypt the bucket using AWS KMS. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as encrypting the bucket using AWS KMS is a method of protecting data at rest, not enabling versioning or MFA Delete.

Reference URL: https://docs.aws.amazon.com/AmazonS3/latest/userguide/Versioning.html

AWS Storage Gateway is a service that connects an on-premises software appliance with cloud-based storage to provide seamless and secure integration between an organization's on-premises IT environment and AWS's storage infrastructure. By deploying a file gateway as a virtual machine on each clinic's premises, the medical research lab can provide low-latency access to the data stored in the S3 bucket while maintaining read-only permissions for each clinic. This solution allows the clinics to access the data files directly from their on-premises file-based applications without the need for data transfer or migration.

An Application Load Balancer is a type of Elastic Load Balancer that operates at the application layer (layer 7) of the OSI model. It can distribute incoming traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. It can also route requests based on the content of the request, such as the host name, path, or query parameters1.

The AWS Load Balancer Controller is a controller that helps you manage Elastic Load Balancers for your Kubernetes cluster. It can provision Application Load Balancers or Network Load Balancers when you create Kubernetes Ingress or Service resources2.

By using the AWS Load Balancer Controller to provision an Application Load Balancer for your Amazon EKS cluster, you can achieve the following benefits:

You can route incoming requests to the appropriate microservices based on the rules you define in your Ingress resource. For example, you can route requests with different host names or paths to different microservices that handle customers and orders2.

You can improve the performance and availability of your container applications by distributing the load across multiple targets and enabling health checks and automatic scaling1.

You can reduce the cost and complexity of managing your load balancers by using a single controller that integrates with Amazon EKS and Kubernetes. You do not need to manually create or configure load balancers or update them when your cluster changes2.