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A company plans to use Amazon ElastiCache for its multi-tier web application A solutions architect creates a Cache VPC for the ElastiCache cluster and an App VPC for the application's Amazon EC2 instances Both VPCs are in the us-east-1 Region
The solutions architect must implement a solution to provide tne application's EC2 instances with access to the ElastiCache cluster
Which solution will meet these requirements MOST cost-effectively?
See the explanation below.
Creating a peering connection between the two VPCs and configuring an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group is the most cost-effective solution. Peering connections are free and you only incur the cost of configuring the security group rules. The Transit VPC solution requires additional VPCs and associated resources, which would incur additional costs.
https://aws.amazon.com/certification/policies/before-testing/
Before Testing | AWS Certification Information and Policies | AWS
https://aws.amazon.com/certification/policies/before-testing/
A company hosts a frontend application that uses an Amazon API Gateway API backend that is integrated with AWS Lambda When the API receives requests, the Lambda function loads many libranes Then the Lambda function connects to an Amazon RDS database processes the data and returns the data to the frontend application. The company wants to ensure that response latency is as low as possible for all its users with the fewest number of changes to the company's operations
Which solution will meet these requirements'?
See the explanation below.
Configure provisioned concurrency for the Lambda function that handles the requests. Provisioned concurrency allows you to set the amount of compute resources that are available to the Lambda function, so that it can handle more requests at once and reduce latency. Caching the results of the queries in Amazon S3 could also help to reduce latency, but it would not be as effective as setting up provisioned concurrency. Increasing the size of the database would not help to reduce latency, as this would not increase the number of connections the Lambda function could establish, and establishing a direct connection between the frontend application and the database would bypass the API, which would not be the best solution either.
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
Using AWS Lambda with Amazon API Gateway - AWS Lambda
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
https://aws.amazon.com/lambda/faqs/
AWS Lambda FAQs
https://aws.amazon.com/lambda/faqs/
A company hosts rts sialic website by using Amazon S3 The company wants to add a contact form to its webpage The contact form will have dynamic server-sKle components for users to input their name, email address, phone number and user message The company anticipates that there will be fewer than 100 site visits each month
Which solution will meet these requirements MOST cost-effectively?
See the explanation below.
Create a t2 micro Amazon EC2 instance. Deploy a LAMP (Linux Apache MySQL, PHP/Perl/Python) stack to host the webpage. Use client-side scripting to build the contact form. Integrate the form with Amazon WorkMail. This solution will provide the company with the necessary components to host the contact form page and integrate it with Amazon WorkMail at the lowest cost. Option A requires the use of Amazon ECS, which is more expensive than EC2, and Option B requires the use of Amazon API Gateway, which is also more expensive than EC2. Option C requires the use of Amazon Lightsail, which is more expensive than EC2.
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
Using AWS Lambda with Amazon API Gateway - AWS Lambda
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
https://aws.amazon.com/lambda/faqs/
AWS Lambda FAQs
https://aws.amazon.com/lambda/faqs/
A company is migrating an old application to AWS The application runs a batch job every hour and is CPU intensive The batch job takes 15 minutes on average with an on-premises server The server has 64 virtual CPU (vCPU) and 512 GiB of memory
Which solution will run the batch job within 15 minutes with the LEAST operational overhead?
See the explanation below.
Use AWS Batch on Amazon EC2. AWS Batch is a fully managed batch processing service that can be used to easily run batch jobs on Amazon EC2 instances. It can scale the number of instances to match the workload, allowing the batch job to be completed in the desired time frame with minimal operational overhead.
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
Using AWS Lambda with Amazon API Gateway - AWS Lambda
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
https://aws.amazon.com/lambda/faqs/
AWS Lambda FAQs
https://aws.amazon.com/lambda/faqs/
A company has a three-tier application on AWS that ingests sensor data from its users' devices The traffic flows through a Network Load Balancer (NLB) then to Amazon EC2 instances for the web tier and finally to EC2 instances for the application tier The application tier makes calls to a database
What should a solutions architect do to improve the security of the data in transit?
See the explanation below.
The best option to improve the security of the data in transit is to configure a TLS listener and deploy the server certificate on the NLB. This will ensure that the data is encrypted and secure as it travels through the network. Additionally, you could also configure AWS Shield Advanced and enable AWS WAF on the NLB to further protect the network from malicious attacks. Alternatively, you could also change the load balancer to an Application Load Balancer (ALB) and enable AWS WAF on the ALB. Finally, you could also encrypt the Amazon Elastic Block Store (Amazon EBS) volume on the EC2 instances by using AWS Key Management Service (AWS KMS).
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