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NEW QUESTION 43
After deploying a new website for a client on AWS, he asks if you can set it up so that if it fails it can be automatically redirected to a backup website that he has stored on a dedicated server elsewhere. You are wondering whether Amazon Route 53 can do this. Which statement below is correct in regards to Amazon Route 53?

A. Amazon Route 53 can't help detect an outage of your website, but can redirect your end users to alternate locations.B. Amazon Route 53 can't help detect an outage. You need to use another service.C. Amazon Route 53 can help detect an outage of your website and redirect your end users to alternate locations.D. Amazon Route 53 can help detect an outage of your website but can't redirect your end users to alternate locations.

Answer: C

Explanation:
With DNS Failover, Amazon Route 53 can help detect an outage of your website and redirect your end users to alternate locations where your application is operating properly.
Reference:
http://aws.amazon.com/about-aws/whats-new/2013/02/11/announcing-dns-failover-for-route-53/

 

NEW QUESTION 44
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 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.D. 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.

Answer: A

Explanation:
Explanation/Reference:
https://aws.amazon.com/getting-started/hands-on/build-serverless-web-app-lambda-apigateway-s3- dynamodb-cognito/module-3/

 

NEW QUESTION 45
A company runs an internal browser-based application The application runs on Amazon EC2 instances behind an Application Load Balancer The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones The Auto Scaling group scales up to 20 instances during work hours, but scales down to 2 instances overnight Staff are complaining that the application is very slow when the day begins, although it runs well by mid-morning.
How should the scaling be changed to address the staff complaints and keep costs to a minimum?

A. Implement a step scaling action triggered at a lower CPU threshold, and decrease the cooldown period.B. Implement a scheduled action that sets the desired capacity to 20 shortly before the office opensC. Implement a scheduled action that sets the minimum and maximum capacity to 20 shortly before the office opensD. Implement a target tracking action triggered at a lower CPU threshold and decrease the cooldown period

Answer: B

 

NEW QUESTION 46
Your company runs an application that generates several thousand 1-GB reports a month.
Approximately 10% of these reports will be accessed once during the first 3 days and must be available on demand. After 30 days, reports are no longer accessed as a part of normal business processes but must be retained for compliance reasons.
Which architecture would meet these requirements with the lowest cost?

A. Upload the reports to Amazon Glacier. When reports are requested, copy them to Amazon S3 Standard storage class for access. Delete the copied reports after they have been viewed.B. Upload the reports to Amazon S3 Standard - Infrequent Access storage class. When reports are requested, copy them to Amazon S3 Standard storage class for access. Delete the copied reports after they have been viewed.C. Upload the reports to Amazon S3 Standard - Infrequent Access storage class. Set a lifecycle configuration on the bucket to transition the reports to Amazon Glacier after 30 days.D. Upload the reports to Amazon S3 Standard storage class. Set a lifecycle configuration on the bucket to transition the reports to Amazon Glacier after 30 days.

Answer: D

 

NEW QUESTION 47
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