SAP-C02 · Question #14
A company has application services that have been containerized and deployed on multiple Amazon EC2 instances with public IPs. An Apache Kafka cluster has been deployed to the EC2 instances. A…
The correct answer is D. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate and enable auto scaling behind an Application Load Balancer. Create additional read replicas for the DB instance. Create an Amazon Managed Streaming for Apache Kafka cluster and configure…
Question
A company has application services that have been containerized and deployed on multiple Amazon EC2 instances with public IPs. An Apache Kafka cluster has been deployed to the EC2 instances. A PostgreSQL database has been migrated to Amazon RDS lor PostgreSQL. The company expects a significant increase of orders on its platform when a new version of its flagship product is released. What changes to the current architecture will reduce operational overhead and support the product release?
Options
- ACreate an EC2 Auto Scaling group behind an Application Load Balancer. Create additional read
- BCreate an EC2 Auto Scaling group behind an Application Load Balancer. Deploy the DB instance
- CDeploy the application on a Kubernetes cluster created on the EC2 instances behind an
- DDeploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate
How the community answered
(25 responses)- A8% (2)
- B4% (1)
- C16% (4)
- D72% (18)
Explanation
Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate and enable auto scaling behind an Application Load Balancer. Create additional read replicas for the DB instance. Create an Amazon Managed Streaming for Apache Kafka cluster and configure the application services to use the cluster. Store static content in Amazon S3 behind an Amazon CloudFront distribution.
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