A publishing company's design team updates the icons and other static assets that an ecommerce web application uses. The company serves the icons and assets from an Amazon S3 bucket that is hosted in the company's production account. The company also uses a development account that members of the design team canaccess.
After the design team tests the static assets in the development account, the design team needs to load the assets into the S3 bucket in the production account. A solutions architect must provide the design team with access to the production account without exposing other parts of the web application to the risk of unwanted changes.
Which combination of steps will meet these requirements? (Select THREE.)
A global ecommerce company has many data centers worldwide. The company needs scalable cloud storage for legacy file applications. Requirements:
Must support iSCSI access from on-premises servers.
Must support point-in-time snapshots via AWS Backup.
Must retain low-latency access to frequently accessed data.Which solution will meet these requirements?
A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group. The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events.
When the company deploys new application code versions, the company installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group. The application is set to go live within the next 24 hours.
What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?
Question:
A company mandates that all internal AWS communications useprivate IPs. A solutions architect createdinterface VPC endpointsfor public AWS services like S3. However, service names are still resolving topublic IP addresses, and the internal apps cannot connect.
What should the architect do to resolve this issue?
A company has a web application that allows users to upload short videos. The videos are stored on Amazon EBS volumes and analyzed by custom recognition software for categorization.
The website contains stat c content that has variable traffic with peaks in certain months. The architecture consists of Amazon EC2 instances running in an Auto Scaling group for the web application and EC2 instances running in an Auto Scaling group to process an Amazon SQS queue The company wants to re-architect the application to reduce operational overhead using AWS managed services where possible and remove dependencies on third-party software.
Which solution meets these requirements?