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Amazon AWS Certified Developer - Associate Sample Questions (Q287-Q292):

NEW QUESTION # 287
A company has an image storage web application that runs on AWS. The company hosts the application on Amazon EC2 instances in an Auto Scaling group. The Auto Scaling group acts as the target group for an Application Load Balancer (ALB) and uses an Amazon S3 bucket to store the images for sale.
The company wants to develop a feature to test system requests. The feature will direct requests to a separate target group that hosts a new beta version of the application.
Which solution will meet this requirement with the LEAST effort?

A. Create a new ALB, Auto Scaling group, and target group for the beta version of the application.
Configure an alternate Amazon Route 53 record for the new ALB endpoint. Use the alternate Route 53 endpoint in the test system requests to test the beta version of the application.
B. Create a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Use Amazon CloudFront with Lambda@Edge to update the test system requests to add the required cookie when the requests go to the ALB.
C. Create a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Update the test system code to use this cookie to test the beta version of the application.
D. Create a new ALB, Auto Scaling group, and target group for the beta version of the application.
Use Amazon CloudFront with Lambda@Edge to determine which specific request will go to the new ALB. Use the CloudFront endpoint to send the test system requests to test the beta version of the application.

Answer: C

Explanation:
This solution will allow the company to direct requests to a separate target group that hosts the new beta version of the application without having to create a new ALB or use additional services such as Amazon Route 53 or Amazon CloudFront.
Option D adds additional complexity and effort compared to option A, which simply involves updating the ALB routing rule with a condition that looks for a cookie named version that has a value of beta and updating the test system code to use this cookie to test the beta version of the application.

NEW QUESTION # 288
A developer is migrating an application to Amazon Elastic Kubernetes Service (Amazon EKS). The developer migrates the application to Amazon Elastic Container Registry (Amazon ECR) with an EKS cluster.
As part of the application migration to a new backend, the developer creates a new AWS account. The developer makes configuration changes to the application to point the application to the new AWS account and to use new backend resources. The developer successfully tests the changes within the application by deploying the pipeline.
The Docker image build and the pipeline deployment are successful, but the application is still connecting to the old backend. The developer finds that the application's configuration is still referencing the original EKS cluster and not referencing the new backend resources.
Which reason can explain why the application is not connecting to the new resources?

A. The developer did not successfully create the new AWS account.
B. The developer did not update the Docker image tag to a new version.
C. The developer pushed the changes to a new Docker image tag.
D. The developer added a new tag to the Docker image.

Answer: B

Explanation:
The correct answer is C. The developer did not update the Docker image tag to a new version.
C: The developer did not update the Docker image tag to a new version. This is correct. When deploying an application to Amazon EKS, the developer needs to specify the Docker image tag that contains the application code and configuration. If the developer does not update the Docker image tag to a new version after making changes to the application, the EKS cluster will continue to use the old Docker image tag that references the original backend resources. To fix this issue, the developer should update the Docker image tag to a new version and redeploy the application to the EKS cluster.
A: The developer did not successfully create the new AWS account. This is incorrect. The creation of a new AWS account is not related to the application's connection to the backend resources. The developer can use any AWS account to host the EKS cluster and the backend resources, as long as they have the proper permissions and configurations.
B: The developer added a new tag to the Docker image. This is incorrect. Adding a new tag to the Docker image is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
D: The developer pushed the changes to a new Docker image tag. This is incorrect. Pushing the changes to a new Docker image tag is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
References:
* 1: Amazon EKS User Guide, "Deploying applications to your Amazon EKS cluster", https://docs.aws.
amazon.com/eks/latest/userguide/deploying-applications.html
* 2: Amazon ECR User Guide, "Pushing an image", https://docs.aws.amazon.com/AmazonECR/latest
/userguide/docker-push-ecr-image.html
* 3: Amazon EKS User Guide, "Updating an Amazon EKS cluster", https://docs.aws.amazon.com/eks
/latest/userguide/update-cluster.html

NEW QUESTION # 289
A company recently deployed an AWS Lambda function. A developer notices an increase in the function throttle metrics in Amazon CloudWatch.
What are the MOST operationally efficient solutions to reduce the function throttling? (Choose two.)

A. Increase the maximum age of events in Lambda.
B. Request a service quota change for increased concurrency.
C. Add the lambda:GetFunctionConcurrency action to the execution role.
D. Migrate the function to Amazon Elastic Kubernetes Service (Amazon EKS).
E. Increase the function's reserved concurrency.

Answer: B,E

NEW QUESTION # 290
A developer is creating an application on Amazon Elastic Container Service (Amazon ECS). The developer needs to configure the application parameters. The developer must configure limits for the application's maximum number of simultaneous connections and maximum number of transactions per second.
The maximum number of connections and transactions can change in the future. The developer needs a solution that can automatically deploy these changes to the application, as needed, without causing downtime.
Which solution will meet these requirements?

A. Make the configuration changes for the application. Use AWS CodeDeploy to create a deployment configuration. Specify an in-place deployment to deploy the changes.
B. Create an AWS Lambda function to make the configuration changes. Create an Amazon CloudWatch alarm that monitors the Lambda function every 5 minutes to check if the Lambda function has been updated. When the Lambda function is updated, deploy the changes by using AWS CodeDeploy.
C. Install the AWS AppConfig agent on Amazon ECS. Configure an IAM role with access to AWS AppConfig. Make the deployment changes by using AWS AppConfig. Specify Canary10Percent20Minutes as the deployment strategy.
D. Bootstrap the application to use the AWS Cloud Development Kit (AWS CDK) and make the configuration changes. Specify the ECSCanary10Percent15Minutes launch type in the properties section of the ECS resource. Deploy the application by using the AWS CDK to implement the changes.

Answer: C

Explanation:
The AWS AppConfig Agent is the recommended method for retrieving AWS AppConfig feature flags or free form configuration data. The agent automatically implements best practices and may lower your cost of using AWS AppConfig as a result of fewer API calls to retrieve configurations.
https://docs.aws.amazon.com/appconfig/latest/userguide/appconfig-agent-how-to-use.html

NEW QUESTION # 291
A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API. A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts. Which solution will meet these requirements with the LEAST management overhead?

A. Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource- based policy to the parameter to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.
B. Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
C. Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket.Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.
D. Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-between- accounts/
https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-and-
access_examples_cross.html

NEW QUESTION # 292
......

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