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NEW QUESTION 27
A company is planning to use Amazon S3 lo store images uploaded by its users.
The images must be encrypted at rest in Amazon S3.
The company does not want to spend time managing and rotating the keys, but it does want to control who can access those keys.
What should a solutions architect use to accomplish this?

A. Server-Side Encryption with keys stored in an S3 bucketB. Server-Side Encryption with AWS KMS-Managed Keys (SSE-KMS)C. Server-Side Encryption with Customer-Provided Keys (SSE-C)D. Server-Side Encryption with Amazon S3-Managed Keys (SSE-S3)

Answer: B

Explanation:
SSE-KMS requires that AWS manage the data key but you manage the customer master key (CMK) in AWS KMS. You can choose a customer managed CMK or the AWS managed CMK for Amazon S3 in your account.
Customer managed CMKs are CMKs in your AWS account that you create, own, and manage.
You have full control over these CMKs, including establishing and maintaining their key policies, IAM policies, and grants, enabling and disabling them, rotating their cryptographic material, adding tags, creating aliases that refer to the CMK, and scheduling the CMKs for deletion.
For this scenario, the solutions architect should use SSE-KMS with a customer managed CMK.
That way KMS will manage the data key but the company can configure key policies defining who can access the keys.
CORRECT: "Server-Side Encryption with AWS KMS-Managed Keys (SSE-KMS)" is the correct answer.
INCORRECT: "Server-Side Encryption with keys stored in an S3 bucket" is incorrect as you cannot store your keys in a bucket with server-side encryption INCORRECT: "Server-Side Encryption with Customer-Provided Keys (SSE-C)" is incorrect as the company does not want to manage the keys.
INCORRECT: "Server-Side Encryption with Amazon S3-Managed Keys (SSE-S3)" is incorrect as the company needs to manage access control for the keys which is not possible when they're managed by Amazon.
References:
https://docs.aws.amazon.com/kms/latest/developerguide/services-s3.html#sse
https://docs.aws.amazon.com/kms/latest/developerguide/concepts.html#master_keys

 

NEW QUESTION 28
A company's application Is having performance issues The application staleful and needs to complete m-memory tasks on Amazon EC2 instances. The company used AWS CloudFormation to deploy infrastructure and used the M5 EC2 Instance family As traffic increased, the application performance degraded Users are reporting delays when the users attempt to access the application.
Which solution will resolve these issues in the MOST operationally efficient way?

A. Replace the EC2 Instances with T3 EC2 instances that run in an Auto Scaling group. Made the changes by using the AWS Management Console.B. Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Use Amazon CloudWatch built-in EC2 memory metrics to track the application performance for future capacity planning.C. Modify the CloudFormation templates. Replace the EC2 instances with R5 EC2 instances. Deploy the Amazon CloudWatch agent on the EC2 instances to generate custom application latency metrics for future capacity planning.D. Modify the CloudFormation templates to run the EC2 instances in an Auto Scaling group. Increase the desired capacity and the maximum capacity of the Auto Scaling group manually when an increase is necessary

Answer: C

 

NEW QUESTION 29
A company is running a three-tier web application to process credit card payments. The front-end user interface consists of static webpages. The application tier can have long-running processes The database tier uses MySQL.
The application is currently running on a single, general purpose large Amazon EC2 instance A solutions architect needs to decouple the services to make the web application highly available.
Which solution would provide the HIGHEST availability?

A. Move static assets to Amazon S3. Move the application to AWS Lambda with the concurrency limit set.
Move the database to Amazon DynamoDB with on-demand enabled.B. Move static assets to Amazon CloudFront Leave the application in EC2 in an Auto Scaling group. Move the database to Amazon RDS to deploy Multi-AZ.C. Move static assets and the application into a medium EC2 instance. Leave the database on the large instance. Place both instances in an Auto Scaling group.D. Move static assets to Amazon S3. Move the application to Amazon Elastic Container Service (Amazon ECS) containers with Auto Scaling enabled. Move the database to Amazon RDS to deploy Multi-AZ

Answer: B

 

NEW QUESTION 30
A solutions architect needs to design a network that will allow multiple Amazon EC2 instances to access a common data source used for mission-critical data that can be accessed by all the EC2 instances simultaneously. The solution must be highly scalable, easy to implement and support the NFS protocol.
Which solution meets these requirements?

A. Create an Amazon S3 bucket with the appropriate permissions. Create a role in AWS IAM that grants the correct permissions to the S3 bucket. Attach the role to the EC2 Instances that need access to the data.B. Create an Amazon EFS file system. Configure a mount target in each Availability Zone. Attach each instance to the appropriate mount target.C. Create an Amazon EBS volume with the appropriate permissions. Create a role in AWS IAM that grants the correct permissions to the EBS volume. Attach the role to the EC2 instances that need access to the data.D. Create an additional EC2 instance and configure it as a file server. Create a security group that allows communication between the Instances and apply that to the additional instance.

Answer: B

 

NEW QUESTION 31
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