An enterprise is planning to deploy two different applications on AWS:
* A batch processing workload for machine learning model training that is highly fault-tolerant, can be paused and resumed, and must run at the absolute lowest cost.
* A containerized web API that experiences unpredictable traffic spikes, where the operations team wants to focus on container deployment without provisioning or managing any underlying servers.
Which combination of AWS compute solutions will fulfill these requirements? (Select TWO.)
- Amazon EC2 Spot Instances to run the batch processing workloadCevap
- AWS Fargate to run the containerized web APICevap
- CAmazon EC2 Dedicated Hosts to run the batch processing workload
- DAmazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type to run the containerized web API
Cevap
The company should use Amazon EC2 Spot Instances for the batch processing workload to minimize costs, and AWS Fargate to run the containerized web API without server management.
The correct options are the ones recommending Amazon EC2 Spot Instances and AWS Fargate. Amazon EC2 Spot Instances leverage spare capacity for significant cost savings on workloads that can tolerate interruption, while AWS Fargate provides a serverless compute engine for containers, eliminating the administrative overhead of managing underlying virtual machines.
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Selecting appropriate AWS compute services and pricing models based on workload characteristics.
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