After launching an instance that you intend to serve as a NAT (Network Address Translation) device in a public subnet you modify your route tables to have the NAT device be the target of internet bound traffic of your private subnet. When you try and make an outbound connection to the Internet from an instance in the private subnet, you are not successful.
Which of the following steps could resolve the issue?

• A.Attaching a second Elastic Network interface (ENI) to the NAT instance, and placing it in the private subnet
• B.Attaching a second Elastic Network Interface (ENI) to the instance in the private subnet, and placing it in the public subnet
• C.Disabling the Source/Destination Check attribute on the NAT instance
• D.Attaching an Elastic IP address to the instance in the private subnet

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A Developer is storing sensitive documents in Amazon S3 that will require encryption at rest. The encryption keys must be rotated annually, at least.
What is the easiest way to achieve this?

• A.Use AWS KMS with automatic key rotation
• B.Encrypt the data before sending it to Amazon S3
• C.Import a custom key into AWS KMS with annual rotation enabled
• D.Export a key from AWS KMS to encrypt the data

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An e-commerce web application that shares session state on-premises is being migrated to AWS. The application must be fault tolerant, natively highly scalable, and any service interruption should not affect the user experience.
What is the best option to store the session state?

• A.Store the session state in Amazon ElastiCache
• B.Store the session state in Amazon CloudFront
• C.Store the session state in Amazon S3
• D.Enable session stickiness using elastic load balancers

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A developer is building a new application that uses an Amazon DynamoDB table The specification states that all items that are older than 48 hours must be removed.
Which solution will meet this requirement?

• A.Create a new attribute that has the Number data type Add a local secondary index (LSI) for this attribute and enable TTL with an expiration of 48 hours In the application code set the value of this attribute to the current timestamp for each new item that is being inserted
• B.Create a new attribute that has the String data type Enable TTL on the DynamoDB table for this attribute in the application code, set the value of this attribute to the current timestamp plus 48 hours for each new item that is being inserted.
• C.Create a new attribute that has the String data type Add a local secondary index (LSI) for this attribute, and enable TTL with an expiratiotvof 48 hours In the application code set the value of this attribute to the current timestamp for each new item that is being inserted.
• D.Create a new attribute that has the Number data type Enable TTL on the DynamoDB table for this attribute In the application code set the value of this attribute to the current timestamp plus 48 hours for each new item that is being inserted

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A company wants to migrate an existing web application to AWS. The application consists of two web servers and a MySQL database The company wants the application to automatically scale in response to demand The company also wants to reduce its operational overhead for database backups and maintenance The company needs the ability to deploy multiple versions of the application concurrently What is the MOST operationally efficient solution that meets these requirements?

• A.Deploy the application to AWS Elastic Beanstalk. Migrate the database to an Amazon RDS Multi-AZ DB instance
• B.Create an Amazon Machine Image (AMI) that contains the application code. Create an Auto Scaling group that is based on the AMI Integrate the Auto Scaling group with an Application Load Balancer for the web servers. Migrate the database to a MySQL instance that runs on an Amazon EC2 instance.
• C.Deploy the application to AWS Elastic Beanstalk. Migrate the database to a MySQL instance that runs on an Amazon EC2 instance.
• D.Create an Amazon Machine Image (AMI) that contains the application code. Create an Auto Scaling group that is based on the AMI. Integrate the Auto Scaling group with an Application Load Balancer for the web servers. Migrate the database to an Amazon RDS Multi-AZ DB Instance

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