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NEW QUESTION 36
A company has a policy that all Amazon EC2 instances that are running a database must exist within the same subnets in a shared VPC Administrators must follow security compliance requirements and are not allowed to directly log in to the shared account All company accounts are members of the same organization in AWS Organizations. The number of accounts will rapidly increase as the company grows.
A solutions architect uses AWS Resource Access Manager to create a resource share in the shared account
What is the MOST operationally efficient configuration to meet these requirements?
- A. Add all subnets within the VPC to the resource share. Add the organization as a principal.
- B. Add the VPC to the resource share. Add the organization as a principal
- C. Add the VPC to the resource share. Add the account IDs as principals
- D. Add all subnets within the VPC to the resource share. Add the account IDs as principals
Answer: A
Explanation:
https://docs.aws.amazon.com/ram/latest/userguide/getting-started-sharing.html#getting-started-sharing-create
To restrict resource sharing to only principals in your organization, choose Allow sharing with principals in your organization only.
https://docs.aws.amazon.com/ram/latest/userguide/ram-ug.pdf
NEW QUESTION 37
A company runs a dynamic mission-critical web application that has an SLA of 99.99%. Global application users access the application 24/7. The application is currently hosted on premises and routinely fails to meet its SLA, especially when millions of users access the application concurrently. Remote users complain of latency.
How should this application be redesigned to be scalable and allow for automatic failover at the lowest cost?
- A. Use Amazon Route 53 latency-based routing to route to the nearest region with health checks. Host the website in Amazon S3 in each region and use Amazon API Gateway with AWS Lambda for the application layer. Use Amazon DynamoDB global tables as the data layer with Amazon DynamoDB Accelerator (DAX) for caching.
- B. Use Amazon Route 53 geolocation-based routing. Host the website on automatically scaled AWS Fargate containers behind a Network Load Balancer with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora Multi-Master for Aurora MySQL as the data layer.
- C. Use Amazon Route 53 failover routing with geolocation-based routing. Host the website on automatically scaled Amazon EC2 instances behind an Application Load Balancer with an additional Application Load Balancer and EC2 instances for the application layer in each region. Use a Multi-AZ deployment with MySQL as the data layer.
- D. Use Amazon Route 53 round robin routing to distribute the load evenly to several regions with health checks. Host the website on automatically scaled Amazon ECS with AWS Fargate technology containers behind a Network Load Balancer, with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora replicas for the data layer.
Answer: A
NEW QUESTION 38
A company runs a dynamic mission-critical web application that has an SLA of 99.99%. Global application users access the application 24/7. The application is currently hosted on premises and routinely fails to meet its SLA, especially when millions of users access the application concurrently. Remote users complain of latency.
How should this application be redesigned to be scalable and allow for automatic failover at the lowest cost?
- A. Use Amazon Route 53 latency-based routing to route to the nearest region with health checks. Host the website in Amazon S3 in each region and use Amazon API Gateway with AWS Lambda for the application layer. Use Amazon DynamoDB global tables as the data layer with Amazon DynamoDB Accelerator (DAX) for caching.
- B. Use Amazon Route 53 failover routing with geolocation-based routing. Host the website on automatically scaled Amazon EC2 instances behind an Application Load Balancer with an additional Application Load Balancer and EC2 instances for the application layer in each region. Use a Multi-AZ deployment with MySQL as the data layer.
- C. Use Amazon Route 53 geolocation-based routing. Host the website on automatically scaled AWS Fargate containers behind a Network Load Balancer with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora Multi-Master for Aurora MySQL as the data layer.
https://aws.amazon.com/getting-started/projects/build-serverless-web-app-lambda-apigateway-s3-dynamodb-cognito/ - D. Use Amazon Route 53 round robin routing to distribute the load evenly to several regions with health checks. Host the website on automatically scaled Amazon ECS with AWS Fargate technology containers behind a Network Load Balancer, with an additional Network Load Balancer and Fargate containers for the application layer in each region. Use Amazon Aurora replicas for the data layer.
Answer: A
NEW QUESTION 39
A Solutions Architect needs to design a highly available application that will allow authenticated users to stay connected to the application even when there are underlying failures.
Which solution will meet these requirements?
- A. Deploy the application on Amazon EC2 instances in an Auto Scaling group Use an internet-facing Application Load Balancer on the front end Use EC2 instances to save the authenticated connection details
- B. Deploy the application on Amazon EC2 instances Use Amazon Route 53 to forward requests to the EC2 Instances. Use Amazon DynamoDB to save the authenticated connection details.
- C. Deploy the application on Amazon EC2 instances in an Auto Scaling group Use an internet-facing Application Load Balancer on the front end Use EC2 instances hosting a MySQL database to save the authenticated connection details
- D. Deploy the application on Amazon EC2 instances in an Auto Scaling group Use an internet-facing Application Load Balancer to handle requests Use Amazon DynamoDB to save the authenticated connection details
Answer: B
NEW QUESTION 40
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