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NEW QUESTION 23
A company would like to implement a serverless application by using Amazon API Gateway, AWS Lambda and Amazon DynamoDB. They deployed a proof of concept and stated that the average response time is greater than what their upstream services can accept Amazon CloudWatch metrics did not indicate any issues with DynamoDB but showed that some Lambda functions were hitting their timeout.
Which of the following actions should the Solutions Architect consider to improve performance?
(Choose two.)

A. Increase the amount of memory and adjust the timeout on the Lambda function. Complete performance testing to identify the ideal memory and timeout configuration for the Lambda function.B. Create an Amazon ElastiCache cluster running Memcached, and configure the Lambda function for VPC integration with access to the Amazon ElastiCache cluster.C. Configure the AWS Lambda function to reuse containers to avoid unnecessary startup time.D. Increase the amount of CPU, and adjust the timeout on the Lambda function. Complete performance testing to identify the ideal CPU and timeout configuration for the Lambda function.E. Enable API cache on the appropriate stage in Amazon API Gateway, and override the TTL for individual methods that require a lower TTL than the entire stage.

Answer: A,E

Explanation:
https://lumigo.io/blog/aws-lambda-timeout-best-practices/
A: While this will improve the situation, it may not be enough.
B: Memory - The amount of memory available to the function during execution. Choose an amount between 128 MB and 3,008 MB in 64 MB increments. Lambda allocates CPU power linearly in proportion to the amount of memory configured. At 1,792 MB, a function has the equivalent of 1 full vCPU (one vCPU-second of credits per second).
All calls made to AWS Lambda must complete execution within 900 seconds. The default timeout is 3 seconds, but you can set the timeout to any value between 1 and 900 seconds.
C: The problem is not with the DB.
D: AWS API Gateway has a max timeout of 29 seconds for all integration types, which includes Lambda as well. It means that any API call coming through API Gateway cannot exceed 29 seconds. It makes sense for most of the APIs except for few high computational ones.
E: Increase the memory not CPU.

 

NEW QUESTION 24
What is the default maximum number of VPCs allowed per region?

A. 0B. 1C. 2D. 3

Answer: A

Explanation:
The maximum number of VPCs allowed per region is 5.
Reference: http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Appendix_Limits.html

 

NEW QUESTION 25
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 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.B. 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.C. Use Amazon Route 53 failover routing with geolocation-based routing. Host the websiteon 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 26
A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling group The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting The VPC is connected to an on-premises environment and connectivity cannot be interrupted The maximum size of the Auto Scaling group is 20 instances in service The VPC IPv4 addressing is as follows:
* VPC CIDR 10 0 0 0/23
* AZ1 subnet CIDR 10 0 0 0/24
* AZ2 subnet CIDR 10 0 10/24
Since deployment a third AZ has become available in the Region The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime Which solution will meet these requirements?

A. Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet to have half the previous address space Adjust the Auto Scaling group to also use the AZ1 subnet again When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only Update the current A22 subnet and assign the second half of the address space from the original AZ1 subnet Create a new AZ3 subnet using half the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnetsB. Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1 subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZ1 subnet When the instances are healthy adjust the Auto Scaling group to use the AZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using the second half of the address space from the original. AZ1 subnet Create a new AZ3 subnet using halt the original AZ2 subnet address space then update the Auto Scaling group to target all three new subnetsC. Create a new VPC with the same IPv4 address space and define three subnets with one for each AZ Update the existing Auto Scaling group to target the new subnets in the new VPCD. Terminate the EC2 instances m the AZ1 subnet Delete and re-create the AZ1 subnet using half the address space Update the Auto Scaling group to use this new subnet Repeat this for the second AZ Define a new subnet in AZ3 then update the Auto Scaling group to target all three new subnets

Answer: B

 

NEW QUESTION 27
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