A company needs to aggregate Amazon CloudWatch logs from its AWS accounts into one central logging account. The collected logs must remain in the AWS Region of
creation. The central logging account will then process the logs, normalize the logs into standard output format, and stream the output logs to a security tool for more processing.
A solutions architect must design a solution that can handle a large volume of logging data that needs to be ingested. Less logging will occur outside normal business hours than during normal business hours. The logging solution must scale with the anticipated load. The solutions architect has decided to use an AWS Control Tower design to handle the multi-account logging process.
Which combination of steps should the solutions architect take to meet the requirements? (Select THREE.)
A company is deploying a distributed in-memory database on a fleet of Amazon EC2 instances. The fleet consists of a primary node and eight worker nodes. The primary node is responsible for monitoring cluster health, accepting user requests, distributing user requests to worker nodes, and sending an aggregate response back to a client. Worker nodes communicate with each other to replicate data partitions.
The company requires the lowest possible networking latency to achieve maximum performance.
Which solution will meet these requirements?
A company processes environment data. The has a set up sensors to provide a continuous stream of data from different areas in a city. The data is available in JSON format.
The company wants to use an AWS solution to send the data to a database that does not require fixed schemas for storage. The data must be send in real time.
Which solution will meet these requirements?
A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized DB instance that is not able to handle the load.
What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?
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