A company runs a web application on a single Amazon EC2 instance. End users experience slow application performance during times of peak usage, when CPU utilization is consistently more than 95%.
A user data script installs required custom packages on the EC2 instance. The process of launchingthe instance takes several minutes.
The company is creating an Auto Scaling group that has mixed instance groups, varied CPUs, and a maximum capacity limit. The Auto Scaling group will use a launch template for various configuration options. The company needs to decrease application latency when new instances are launched during auto scaling.
Which solution will meet these requirements?
A large company is migrating ils entire IT portfolio to AWS. Each business unit in the company has a standalone AWS account that supports both development and test environments. New accounts to support production workloads will be needed soon.
The finance department requires a centralized method for payment but must maintain visibility into each group's spending to allocate costs.
The security team requires a centralized mechanism to control 1AM usage in all the company's accounts.
What combination of the following options meet the company's needs with the LEAST effort? (Select TWO.)
A company runs an application on Amazon EC2 and AWS Lambda. The application stores temporary data in Amazon 53. The 53 objects are deleted after 24 hours.
The company deploys new versions of the application by launching AWS CloudFormation stacks. The stacks create the required resources. After validating a new version, the company deletes the old stack. The deletion of an old development stack recently failed. A solutions architect needs to resolve this Issue without major architecture changes.
Which solution will meet these requirements?
A company has a complex web application that leverages Amazon CloudFront for global scalability and performance Over time, users report that the web application is slowing down
The company's operations team reports that the CloudFront cache hit ratio has been dropping steadily. The cache metrics report indicates that query strings on some URLs are inconsistently ordered and are specified sometimes in mixed-case letters and sometimes in lowercase letters.
Which set of actions should the solutions architect take to increase the cache hit ratio as quickly as possible?