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NEW QUESTION 27
A company plans to migrate its suite of containerized applications running on-premises to a container service in AWS. The solution must be cloud-agnostic and use an open-source platform that can automatically manage containerized workloads and services. It should also use the same configuration and tools across various production environments.
What should the Solution Architect do to properly migrate and satisfy the given requirement?

  • A. Migrate the application to Amazon Elastic Container Service with ECS tasks that use the AWS Fargate launch type.
  • B. Migrate the application to Amazon Elastic Container Service with ECS tasks that use the Amazon EC2 launch type.
  • C. Migrate the application to Amazon Elastic Kubernetes Service with EKS worker nodes.
  • D. Migrate the application to Amazon Container Registry (ECR) with Amazon EC2 instance worker nodes.

Answer: C

Explanation:
Amazon EKS provisions and scales the Kubernetes control plane, including the API servers and backend persistence layer, across multiple AWS availability zones for high availability and fault tolerance.
Amazon EKS automatically detects and replaces unhealthy control plane nodes and provides patching for the control plane. Amazon EKS is integrated with many AWS services to provide scalability and security for your applications. These services include Elastic Load Balancing for load distribution, IAM for authentication, Amazon VPC for isolation, and AWS CloudTrail for logging.


To migrate the application to a container service, you can use Amazon ECS or Amazon EKS. But the key point in this scenario is cloud-agnostic and open-source platform. Take note that Amazon ECS is an AWS proprietary container service. This means that it is not an open-source platform. Amazon EKS is a portable, extensible, and open-source platform for managing containerized workloads and services.
Kubernetes is considered cloud-agnostic because it allows you to move your containers to other cloud service providers.
Amazon EKS runs up-to-date versions of the open-source Kubernetes software, so you can use all of the existing plugins and tools from the Kubernetes community. Applications running on Amazon EKS are fully compatible with applications running on any standard Kubernetes environment, whether running in on-premises data centers or public clouds. This means that you can easily migrate any standard Kubernetes application to Amazon EKS without any code modification required.
Hence, the correct answer is: Migrate the application to Amazon Elastic Kubernetes Service with EKS worker nodes.
The option that says: Migrate the application to Amazon Container Registry (ECR) with Amazon EC2 instance worker nodes is incorrect because Amazon ECR is just a fully-managed Docker container registry. Also, this option is not an open-source platform that can manage containerized workloads and services.
The option that says: Migrate the application to Amazon Elastic Container Service with ECS tasks that use the AWS Fargate launch type is incorrect because it is stated in the scenario that you have to migrate the application suite to an open-source platform. AWS Fargate is just a serverless compute engine for containers. It is not cloud-agnostic since you cannot use the same configuration and tools if you moved it to another cloud service provider such as Microsoft Azure or Google Cloud Platform (GCP).
The option that says: Migrate the application to Amazon Elastic Container Service with ECS tasks that use the Amazon EC2 launch type. is incorrect because Amazon ECS is an AWS proprietary managed container orchestration service. You should use Amazon EKS since Kubernetes is an open-source platform and is considered cloud-agnostic. With Kubernetes, you can use the same configuration and tools that you're currently using in AWS even if you move your containers to another cloud service provider.
References:
https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html
https://aws.amazon.com/eks/faqs/
Check out our library of AWS Cheat Sheets:
https://tutorialsdojo.com/links-to-all-aws-cheat-sheets/

 

NEW QUESTION 28
A company plans to design an application that can handle batch processing of large amounts of financial data. The Solutions Architect is tasked to create two Amazon S3 buckets to store the input and output data. The application will transfer the data between multiple EC2 instances over the network to complete the data processing.
Which of the following options would reduce the data transfer costs?

  • A. Deploy the Amazon EC2 instances in the same Availability Zone.
  • B. Deploy the Amazon EC2 instances behind an Application Load Balancer.
  • C. Deploy the Amazon EC2 instances in private subnets in different Availability Zones.
  • D. Deploy the Amazon EC2 instances in the same AWS Region.

Answer: A

Explanation:
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web Services (AWS) Cloud. Using Amazon EC2 eliminates your need to invest in hardware up front, so you can develop and deploy applications faster. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage. Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic.

In this scenario, you should deploy all the EC2 instances in the same Availability Zone. If you recall, data transferred between Amazon EC2, Amazon RDS, Amazon Redshift, Amazon ElastiCache instances, and Elastic Network Interfaces in the same Availability Zone is free. Instead of using the public network to transfer the data, you can use the private network to reduce the overall data transfer costs. Hence, the correct answer is: Deploy the Amazon EC2 instances in the same Availability Zone.
The option that says: Deploy the Amazon EC2 instances in the same AWS Region is incorrect because even if the instances are deployed in the same Region, they could still be charged with inter-Availability Zone data transfers if the instances are distributed across different availability zones. You must deploy the instances in the same Availability Zone to avoid the data transfer costs.
The option that says: Deploy the Amazon EC2 instances behind an Application Load Balancer is incorrect because this approach won't reduce the overall data transfer costs. An Application Load Balancer is primarily used to distribute the incoming traffic to underlying EC2 instances.
The option that says: Deploy the Amazon EC2 instances in private subnets in different Availability Zones is incorrect. Although the data transfer between instances in private subnets is free, there will be an issue with retrieving the data in Amazon S3. Remember that you won't be able to connect to your Amazon S3 bucket if you are using a private subnet unless you have a VPC Endpoint. References:
https://aws.amazon.com/ec2/pricing/on-demand/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html
https://aws.amazon.com/blogs/mt/using-aws-cost-explorer-to-analyze-data-transfer-costs/ Amazon EC2 Overview:
https://www.youtube.com/watch?v=7VsGIHT_jQE
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/

 

NEW QUESTION 29
A company runs workloads on AWS. The company needs to connect to a service from an external provider. The service is hosted in the provider's VPC. According to the company's security team, the connectivity must be private and must be restricted to the target service. The connection must be initiated only from the company's VPC.
Which solution will mast these requirements?

  • A. Create a VPC peering connection between the company's VPC and the provider's VPC. Update the route table to connect to the target service.
  • B. Ask the provider to create a virtual private gateway in its VPC. Use AWS PrivateLink to connect to the target service.
  • C. Create a NAT gateway in a public subnet of the company's VPC. Update the route table to connect to the target service.
  • D. Ask the provider to create a VPC endpoint for the target service. Use AWS PrivateLink to connect to the target service.

Answer: D

 

NEW QUESTION 30
A company has an automobile sales website that stores its listings in a database on Amazon RDS When an automobile is sold the listing needs to be removed from the website and the data must be sent to multiple target systems.
Which design should a solutions architect recommend?

  • A. Create an AWS Lambda function triggered when the database on Amazon RDS is updated to send the information to an Amazon Simple Queue Service (Amazon SQS> queue for the targets to consume
  • B. Subscribe to an RDS event notification and send an Amazon Simple Notification Service (Amazon SNS) topic fanned out to multiple Amazon Simple Queue Service (Amazon SQS) queues Use AWS Lambda functions to update the targets
  • C. Create an AWS Lambda function triggered when the database on Amazon RDS is updated to send the information to an Amazon Simple Queue Service (Amazon SQS) FIFO queue for the targets to consume
  • D. Subscribe to an RDS event notification and send an Amazon Simple Queue Service (Amazon SQS) queue fanned out to multiple Amazon Simple Notification Service (Amazon SNS) topics Use AWS Lambda functions to update the targets

Answer: B

Explanation:
https://docs.aws.amazon.com/lambda/latest/dg/services-rds.html https://docs.aws.amazon.com/lambda/latest/dg/with-sns.html

 

NEW QUESTION 31
A company wants to run applications in containers in the AWS Cloud. These applications are stateless and can tolerate disruptions within the underlying infrastructure. The company needs a solution that minimizes cost and operational overhead.
What should a solutions architect do to meet these requirements?

  • A. Use Spot Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.
  • B. Use Spot Instances in an Amazon EC2 Auto Scaling group to run the application containers.
  • C. Use On-Demand Instances in an Amazon EC2 Auto Scaling group to run the application containers.
  • D. Use On-Demand Instances in an Amazon Elastic Kubernetes Service (Amazon EKS) managed node group.

Answer: A

 

NEW QUESTION 32
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