A solutions architect must analyze a company ' s Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently The company is running several large, high-memory EC2 instances lo host database dusters that are deployed in active/passive configurations The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern
The solutions architect must analyze the environment and take action based on the findings.
Which solution meets these requirements MOST cost-effectively?
A company is running a containerized workload on AWS. The workload consists of several data-processing services that run on a group of Amazon EC2 instances.
The company uploads new data to an Amazon S3 bucket every night. A cron job on each EC2 instance starts the data processing every night. The amount of uploaded data varies. The data-processing tasks can take hours to finish running. After the data is processed, the services remain idle until the next processing window occurs the next night. The company needs a solution to modernize the architecture and reduce the operational overhead.
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?
A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table. The table uses on-demand capacity mode. Once each day at midnight, a few million new records are loaded into the table. Application read activity against the table happens in bursts throughout the day. and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.
Which strategy should a solutions architect recommend to meet this requirement?