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A company's packaged application dynamically creates and returns single-use text files in response to user requests. The company is using Amazon CloudFront for distribution, but wants to further reduce data transfer costs. The company cannot modify the application's source code.
What should a solutions architect do to reduce costs?
A company is storing data in Amazon S3 buckets. The company needs to retain any objects that contain personally identifiable information (PII) that might need to be reviewed.
A solutions architect must develop an automated solution to identify objects that contain PII and apply the necessary controls to prevent deletion before review.
Which combination of steps should the solutions architect take to meet these requirements? (Select THREE.)
A company is using AWS DataSync to migrate millions of files from an on-premises system to AWS. The files are 10 KB in size on average.
The company wants to use Amazon S3 for file storage. For the first year after the migration the files will be accessed once or twice and must be immediately available. After 1 year the files must be archived for at least 7 years.
Which solution will meet these requirements MOST cost-effectively?
A company is building a web application that serves a content management system. The content management system runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The EC2 instances run in an Auto Scaling group across multiple Availability Zones. Users are constantly adding and updating files, blogs, and other website assets in the content management system.
A solutions architect must implement a solution in which all the EC2 instances share up-to-date website content with the least possible lag time.
An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (PII). The company wants to use the data in three applications. Only one of the applications needs to process the PII. The PII must be removed before the other two applications process the data.
Which solution will meet these requirements with the LEAST operational overhead?