A company is configuring connectivity to a multi-account AWS environment to support application workloads fiat serve users in a single geographic region. The workloads depend on a highly available, on-premises legacy system deployed across two locations It is critical for the AWS workloads to manias connectivity to the legacy system, and a minimum of 5 Gbps of bandwidth is required All application workloads within AWS must have connectivity with one another.
Which solution will meet these requirements?

• A.Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from two DX partners for each on-premises location Create and attach a virtual private gateway for each AWS account VPC.Create a DX gateway m a central network account and associate it with the virtual private gateways Create a public virtual interface on each DX connection and associate the interface with me DX gateway.
• B.Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from two DX partners for each on-premises location Create a transit gateway and a DX gateway in a central network account.Create a transit virtual interface for each DX interlace and associate them with the DX gateway. Create a gateway association between the DX gateway and the transit gateway
• C.Configure multiple AWS Direct Connect (OX) 10 Gbps dedicated connections from a DX partner for each on-premises location Create private virtual interfaces on each connection for each AWS account VPC Associate me private virtual interface with a virtual private gateway attached to each VPC
• D.Configure multiple AWS Direct Connect (DX) 10 Gbps dedicated connections from a DX partner for each on-premises location Create and attach a virtual private gateway for each AWS account VPC.Create a transit gateway in a central network account and associate It with the virtual private gateways Create a transit virtual interface on each DX connection and attach the interface to the transit gateway.

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A company is hosting a three-tier web application in an on-premises environment. Due to a recent surge in traffic that resulted in downtime and a significant financial impact, company management has ordered that the application be moved to AWS. The application is written in .NET and has a dependency on a MySQL database A solutions architect must design a scalable and highly available solution to meet the demand of
200000 daily users.
Which steps should the solutions architect take to design an appropriate solution?

• A.Use AWS Elastic Beanstalk to create a new application with a web server environment and an Amazon RDS MySQL Multi-AZ DB instance The environment should launch a Network Load Balancer (NLB) in front of an Amazon EC2 Auto Scaling group in multiple Availability Zones Use an Amazon Route 53 alias record to route traffic from the company's domain to the NLB.
• B.Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon EC2 Auto Scaling group spanning three Availability Zones. The stack should launch a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a Retain deletion policy. Use an Amazon Route 53 alias record to route traffic from the company's domain to the ALB
• C.Use AWS Elastic Beanstalk to create an automatically scaling web server environment that spans two separate Regions with an Application Load Balancer (ALB) in each Region. Create a Multi-AZ deployment of an Amazon Aurora MySQL DB cluster with a cross-Region read replica Use Amazon Route 53 with a geoproximity routing policy to route traffic between the two Regions.
• D.Use AWS CloudFormation to launch a stack containing an Application Load Balancer (ALB) in front of an Amazon ECS cluster of Spot Instances spanning three Availability Zones The stack should launch an Amazon RDS MySQL DB instance with a Snapshot deletion policy Use an Amazon Route 53 alias record to route traffic from the company's domain to the ALB

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What should the solutions architect do to meet this requirement7

• A.Create an AWS Config rule to evaluate whether the Fargate SERVICE_QUOTA is greater than 80. Use Amazon Simple Email Service (Amazon SES) to notify the development team when the AWS Config rule is not compliant.
• B./ Use Amazon CloudWatch to monitor the Sample Count statistic for each service in the ECS cluster Se:
  an alarm for when the math expression sample Notification SERVICE_QUOTA(service)"100 is greater than 80 Notify the development team by using Amazon Simple Notification Service (Amazon SNS)
• C.Use Amazon CloudWatch to monitor service quotas that are published under the AWS-'Usage metric namespace Set an alarm for when the math expression metricSERVlCE QUOTA(metric)"100 is greater than 80 Notify the development team by using Amazon Simple Notification Service (Amazon SNS).
• D.Create an AWS Lambda function to poll detailed metrics from the ECS cluster. When the number running Fargate tasks is greater than 80. invoke Amazon Simple Email Service (Amazon SES) to notify the development team

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a company needs to create a centralized logging architecture for all of its AWS accounts. The architecture should provide near-real-time data analysis for all AWS CloudTrail logs and VPC Flow logs across an AWS accounts. The company plans to use Amazon Elasticsearch Service (Amazon ES) to perform log analyses in me logging account.
Which strategy should a solutions architect use to meet These requirements?

• A.Configure CloudTrail and VPC Flow Logs to send data to a fog group in Amazon CloudWatch Logs n each AWS account Create AWS Lambda functions in each AWS account to subscribe to the tog groups and stream the data to an Amazon S3 bucket in the togging account. Create another Lambda function to toad data from the S3 bucket to Amazon ES in the logging account.
• B.Configure CloudTrail and VPC Flow Logs to send data to a separate Amazon S3 bucket In each AWS account. Create an AWS Lambda function triggered by S3 evens to copy the data to a centralized logging bucket. Create another Lambda function lo load data from the S3 bucket to Amazon ES in the logging account.
• C.Configure CloudTrail and VPC Flow Logs m each AWS account to send data to a centralized Amazon S3 Ducket in the fogging account. Create an AWS Lambda function to load data from the S3 bucket to Amazon ES m the togging account
• D.Configure CloudTrail and VPC Flow Logs to send data to a fog group m Amazon CloudWatch Logs n each AWS account Configure a CloudWatch subscription filter m each AWS account to send data to Amazon Kinesis Data Firehose In the fogging account Load data from Kinesis Data Firehose Into Amazon ES in the logging account

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A company is migrating applications from on premises to the AWS Cloud. These applications power the company's internal web forms. These web forms collect data for specific events several times each quarter.
The web forms use simple SQL statements to save the data to a local relational database.
Data collection occurs for each event, and the on-premises servers are idle most of the time. The company needs to minimize the amount of idle infrastructure that supports the web forms.
Which solution will meet these requirements?

• A.Use Amazon EC2 Image Builder to create AMIs for the legacy servers. Use the AMIs to provision EC2 instances to recreate the applications in the AWS.
  Cloud. Place an Application Load Balancer (ALB) in front of the EC2 instances. Use Amazon Route 53 to point the DNS names of the web forms to the ALB.
• B.Create one Amazon DynamoDB table to store data for all the data input Use the application form name as the table key to distinguish data items. Create an Amazon Kinesis data stream to receive the data input and store the input in DynamoDB. Use Amazon Route 53 to point the DNS names of the web forms to the Kinesis data stream's endpoint.
• C.Create Docker images for each server of the legacy web form applications. Create an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate. Place an Application Load Balancer in front of the ECS cluster. Use Fargate task storage to store the web form data.
• D.Provision an Amazon Aurora Serverless cluster. Build multiple schemas for each web form's data storage. Use Amazon API Gateway and an AWS Lambda function to recreate the data input forms. Use Amazon Route 53 to point the DNS names of the web forms to their corresponding API Gateway endpoint.

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