A company has deployed an application on AWS Elastic Beanstalk. The company has configured the Auto Scaling group that is associated with the Elastic Beanstalk environment to have five Amazon EC2 instances. If the capacity is fewer than four EC2 instances during the deployment, application performance degrades. The company is using the all-at-once deployment policy.
What is the MOST cost-effective way to solve the deployment issue?

• A.Change the Auto Scaling group to six desired instances.
• B.Change the deployment policy to traffic splitting. Specify an evaluation time of 1 hour.
• C.Change the deployment policy to rolling with additional batch. Specify a batch size of 1.
• D.Change the deployment policy to rolling. Specify a batch size of 2.

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A company is planning to deploy an application on AWS behind an Elastic Load Balancing (ELB) load balancer. The application uses an HTTP/HTTPS listener and must access the client IP addresses.
Which load-balancing solution meets these requirements?

• A.Use a Network Load Balancer (NLB). Enable proxy protocol support on the NLB and the target application.
• B.Use an Application Load Balancer and the X-Forwarded-For headers.
• C.Use an Application Load Balancer. Register the targets by the instance ID.
• D.Use a Network Load Balancer and the X-Forwarded-For headers.

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A developer is modifying an existing AWS Lambda function White checking the code the developer notices hardcoded parameter various for an Amazon RDS for SQL Server user name password database host and port. There also are hardcoded parameter values for an Amazon DynamoOB table. an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code m an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?

• A.Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket and SNS topic.
• B.Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create Secure String parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket and SNS topic.
• C.Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password, database, host and port. Create encrypted Lambda environment variables for me DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task Schedule the credentials rotation task in Amazon EventBridge.
• D.Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password database, host, and port. Store the DynamoDB table. S3 bucket, and SNS topic in Amazon S3 Create a Lambda function and set the logic for the credentials rotation Invoke the Lambda function on a schedule.

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An online food company provides an Amazon API Gateway HTTP API 1o receive orders for partners. The API is integrated with an AWS Lambda function. The Lambda function stores the orders in an Amazon DynamoDB table.
The company expects to onboard additional partners Some to me panthers require additional Lambda function to receive orders. The company has created an Amazon S3 bucket. The company needs 10 store all orders and updates m the S3 bucket for future analysis How can the developer ensure that an orders and updates are stored to Amazon S3 with the LEAST development effort?

• A.Create a new Lambda function and a new API Gateway API endpoint. Configure the new Lambda function to write to the S3 bucket. Modify the original Lambda function to post updates to the new API endpoint.
• B.Use Amazon Kinesis Data Streams to create a new data stream. Modify the Lambda function to publish orders to the oats stream Configure in data stream to write to the S3 bucket.
• C.Enable DynamoDB Streams on me DynamoOB table. Create a new lambda function. Associate the stream's Amazon Resource Name (ARN) with the Lambda Function Configure the Lambda function to write to the S3 bucket as records appear in the table's stream.
• D.Modify the Lambda function to punish to a new Amazon. Simple Lambda function receives orders. Subscribe a new Lambda function to the topic. Configure the new Lambda function to write to the S3 bucket as updates come through the topic.

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A company is building a content authoring application. The application has multiple user groups, such as content creator, reviewer, approver, and administrator. The company needs to assign users fine-grained permissions for specific parts of the application.
The company needs a solution to configure, maintain, and analyze user permissions. The company wants a solution that can be easily adapted to work with newer applications in the future. The company must use a third-party OpenID Connect (OIDC) identity provider (IdP) to authenticate users.

• A.Configure an Amazon Cognito identity pool for the application. Use the identity pool identities within the application to manage user permissions.
• B.Configure the application to check user permissions upon request. Configure the application logic to manage user permissions.
• C.Use Amazon Verified Permissions to set up user permissions. Integrate Verified Permissions with a third-party IdP. Configure the application to request authorization decisions from Verified Permissions.
• D.Set up an IAM role for each user group. Assign users appropriate IAM roles. Configure the application to determine appropriate permissions for each user based on the user's IAM role.

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