You are responsible for your company's large multi-tiered Windows-based web application running on Amazon EC2 instances situated behind a load balancer.
While reviewing metrics, you've started noticing an upwards trend for slow customer page load time.
Your manager has asked you to come up with a solution to ensure that customer load time is not affected by too many requests per second.
Which technique would you use to solve this issue?

• A.Re-deploy your application using an Auto Scaling template.
  Configure the Auto Scaling template to spin up a new Elastic Beanstalk application when the customer load time surpasses your threshold.
• B.Re-deploy your infrastructure using AWS CloudFormation, Elastic Beanstalk, and Auto Scaling.
  Set up your Auto Scaling group policies to scale based on the number of requests per second as well as the current customer load time.
• C.Re-deploy your infrastructure using an AWS CloudFormation template.
  Configure Elastic Load Balancing health checks to initiate a new AWS CloudFormation stack when health checks return failed.
• D.Re-deploy your infrastructure using an AWS CloudFormation template.
  Spin up a second AWS CloudFormation stack.
  Configure Elastic Load Balancing SpillOver functionality to spill over any slow connections to the second AWS CloudFormation stack.

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A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application. The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments. How can these requirements be met? (Select TWO )

• A.Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
• B.Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
• C.Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
• D.Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
• E.Run the web application in AWS Elastic Beanstalk with the deployment policy set to Rolling. Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

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A company is deploying a container-based application using AWS CodeBuild. The Security team mandates that all containers are scanned for vulnerabilities prior to deployment using a password- protected endpoint. All sensitive information must be stored securely.
Which solution should be used to meet these requirements?

• A.Import the password into an AWS CloudHSM key.
  Reference the CloudHSM key in the buildpec.yml file as an environment variable under the variables mapping.
  Reference the environment variable to initiate scanning.
• B.Store the password in the AWS Systems Manager Parameter Store as a secure string.
  Add the Parameter Store key to the buildspec.yml file as an environment variable under the parameter-store mapping.
  Reference the environment variable to initiate scanning.
• C.Encrypt the password using AWS KMS.
  Store the encrypted password in the buildspec.yml file as an environment variable under the variables mapping.
  Reference the environment variable to initiate scanning.
• D.Use the AWS Encryption SDK to encrypt the password and embed in the buildspec.yml file as a variable under the secrets mapping.
  Attach a policy to CodeBuild to enable access to the required decryption key.

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A Solutions Architect is building a multi-tier website. The web servers will be in a public subnet, and the
database servers will be in a private subnet. Only the web servers can be accessed from the Internet. The
database servers must have Internet access for software updates.
Which solution meets the requirements?

• A.Assign Elastic IP addresses to the database instances.
• B.Use a NAT Gateway.
• C.Allow Internet traffic on the private subnet through the network ACL.
• D.Use an egress-only Internet Gateway.

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An online company uses Amazon EC2 Auto Scaling extensively to provide an excellent customer experience while minimizing the number of running EC2 instances. The company's self-hosted Puppet environment in the application layer manages the configuration of the instances. The IT manager wants the lowest licensing costs and wants to ensure that whenever the EC2 Auto Scaling group scales down, removed EC2 instances are deregistered from the Puppet master as soon as possible.
How can the requirement be met?

• A.At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 user data instance stop script to run a script to de-register the instance from the Puppet master.
• B.At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. Use CodeDeploy to install the Puppet agent. When the Auto Scaling group scales out, run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 Auto Scaling EC2_INSTANCE_TERMINATING lifecycle hook to trigger de- registration from the Puppet master.
• C.Bake the AWS Systems Manager agent into the base AMI. When the Auto Scaling group scales out, use the AWS Systems Manager to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the Systems Manager instance stop lifecycle hook to run a script to de-register the instance from the Puppet master.
• D.Bake the AWS CodeDeploy agent into the base AMI. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and execute a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the CodeDeploy lifecycle hook to run a script to de-register the instance from the Puppet master.
  ApplicationStop

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