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A company wants to improve the availability and performance of its hybrid application. The application consists of a stateful TCP-based workload hosted on Amazon EC2 instances in different AWS Regions and a stateless UDP-based workload hosted on premises.
Which combination of actions should a solutions architect take to improve availability and performance? (Select TWO.)
A solutions architect must design a database solution for a high-traffic ecommerce web application. The database stores customer profiles and shopping cart information. The database must support a peak load of several million requests each second and deliver responses in milliseconds. The operational overhead for managing and scaling the database must be minimized.
Which database solution should the solutions architect recommend?
A company stores data for multiple business units in a single Amazon S3 bucket that is in the company's payer AWS account. To maintain data isolation, the business units store data in separate prefixes in the S3 bucket by using an S3 bucket policy.
The company plans to add a large number of dynamic prefixes. The company does not want to rely on a single S3 bucket policy to manage data access at scale. The company wants to develop a secure access management solution in addition to the bucket policy to enforce prefix-level data isolation.
A company stores a file in an S3 bucket containing IP allow/deny lists. The file must be accessible via an HTTP endpoint. Firewalls outside AWS must read the file. The company wants to restrict access to only the firewall IP addresses.
The S3 Block Public Access feature is enabled on the account.
Which solution meets these requirements?
A company runs an application on several Amazon EC2 instances. Multiple Amazon Elastic Block Store (Amazon EBS) volumes are attached to each EC2 instance. The company needs to back up the configurations and the data of the EC2 instances every night. The application must be recoverable in a secondary AWS Region.
Which solution will meet these requirements in the MOST operationally efficient way?
Question:
A company uses Apache Hadoop and Spark on-prem. The infrastructure is complex and not scalable. They want to reduce operational complexity but keep data processing on-premises.
Options:
A company needs a solution to enforce data encryption at rest on Amazon EC2 instances. The solution must automatically identify noncompliant resources and enforce compliance policies on findings.
Which solution will meet these requirements with the LEAST administrative overhead?
A company wants to design a microservices architecture for an application. Each microservice must perform operations that can be completed within 30 seconds.
The microservices need to expose RESTful APIs and must automatically scale in response to varying loads. The APIs must also provide client access control and rate limiting to maintain equitable usage and service availability.
Which solution will meet these requirements with the LEAST operational overhead?