New Year Sale Special - Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: sntaclus

A company wants to use AWS development tools to replace its current bash deployment scripts. The company currently deploys a LAMP application to a group of Amazon EC2 instances behind an Application Load Balancer (ALB). During the deployments, the company unit tests the committed application, stops and starts services, unregisters and re-registers instances with the load balancer, and updates file permissions. The company wants to maintain the same deployment functionality through the shift to using AWS services.

Which solution will meet these requirements?

A.

Use AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services, and deregister and register instances with the ALB. Use the appspec.yml file to update file permissions without a custom script.

B.

Use AWS CodePipeline to move the application from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy's deployment group to test the application, unregister and re-register instances with the ALB. and restart services. Use the appspec.yml file to update file permissions without a custom script.

C.

Use AWS CodePipeline to move the application source code from the AWS CodeCommit repository to AWS CodeDeploy. Use CodeDeploy to test the application. Use CodeDeploy's appspec.yml file to restart services and update permissions without a custom script. Use AWS CodeBuild to unregister and re-register instances with the ALB.

D.

Use AWS CodePipeline to trigger AWS CodeBuild to test the application. Use bash scripts invoked by AWS CodeDeploy's appspec.yml file to restart services. Unregister and re-register the instances in the AWS CodeDeploy deployment group with the ALB. Update the appspec.yml file to update file permissions without a custom script.

A company uses Amazon EC2 as its primary compute platform. A DevOps team wants to audit the company's EC2 instances to check whether any prohibited applications have been installed on the EC2 instances.

Which solution will meet these requirements with the MOST operational efficiency?

A.

Configure AWS Systems Manager on each instance Use AWS Systems Manager Inventory Use Systems Manager resource data sync to synchronize and store findings in an Amazon S3 bucket Create an AWS Lambda function that runs when new objects are added to the S3 bucket. Configure the Lambda function to identify prohibited applications.

B.

Configure AWS Systems Manager on each instance Use Systems Manager Inventory Create AWS Config rules that monitor changes from Systems Manager Inventory to identify prohibited applications.

C.

Configure AWS Systems Manager on each instance. Use Systems Manager Inventory. Filter a trail in AWS CloudTrail for Systems Manager Inventory events to identify prohibited applications.

D.

Designate Amazon CloudWatch Logs as the log destination for all application instances Run an automated script across all instances to create an inventory of installed applications Configure the script to forward the results to CloudWatch Logs Create a CloudWatch alarm that uses filter patterns to search log data to identify prohibited applications.

A company uses Amazon Elastic Container Service (Amazon ECS) with an Amazon EC2 launch type. The company requires all log data to be centralized on Amazon CloudWatch. The company's ECS tasks include a LogConfiguration object that specifies a value of awslogs for the log driver name.

The company's ECS tasks failed to deploy. An error message indicates that a missing permission causes the failure. The company confirmed that the IAM role used to launch container instances includes the logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents permissions.

Which solution will fix the problem?

A.

Add an IAM trust policy to the IAM role that establishes Amazon ECS as a trusted service.

B.

Add the logs:PutDestination permission to the policy applied to the IAM role.

C.

Remove the logs:CreateLogStream permission from the policy applied to the IAM role.

D.

Add an IAM trust policy to the IAM role that establishes CloudWatch as a trusted service.

A development team manually builds an artifact locally and then places it in an Amazon S3 bucket. The application has a local cache that must be cleared when a deployment occurs. The team runs a command to do this downloads the artifact from Amazon S3 and unzips the artifact to complete the deployment.

A DevOps team wants to migrate to a CI/CD process and build in checks to stop and roll back the deployment when a failure occurs. This requires the team to track the progression of the deployment.

Which combination of actions will accomplish this? (Select THREE)

A.

Allow developers to check the code into a code repository Using Amazon EventBridge on every pull into the mam branch invoke an AWS Lambda function to build the artifact and store it in Amazon S3.

B.

Create a custom script to clear the cache Specify the script in the Beforelnstall lifecycle hook in the AppSpec file.

C.

Create user data for each Amazon EC2 instance that contains the clear cache script Once deployed test the application If it is not successful deploy it again.

D.

Set up AWS CodePipeline to deploy the application Allow developers to check the code into a code repository as a source tor the pipeline.

E.

Use AWS CodeBuild to build the artifact and place it in Amazon S3 Use AWS CodeDeploy to deploy the artifact to Amazon EC2 instances.

F.

Use AWS Systems Manager to fetch the artifact from Amazon S3 and deploy it to all the instances.

A company has proprietary data available by using an Amazon CloudFront distribution. The company needs to ensure that the distribution is accessible by only users from the corporate office that have a known set of IP address ranges. An AWS WAF web ACL is associated with the distribution and has a default action set to Count.

Which solution will meet these requirements with the LEAST operational overhead?

A.

Create a new regex pattern set. Add the regex pattern set to a new rule group. Create a new web ACL that has a default action set to Block. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic based on the new rule group.

B.

Create an AWS WAF IP address set that matches the corporate office IP address range. Create a new web ACL that has a default action set to Allow. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic from the IP address set.

C.

Create a new regex pattern set. Add the regex pattern set to a new rule group. Set the default action on the existing web ACL to Allow. Add a rule that has priority 0 that allows traffic based on the regex pattern set.

D.

Create a WAF IP address set that matches the corporate office IP address range. Set the default action on the existing web ACL to Block. Add a rule that has priority 0 that allows traffic from the IP address set.

A company has developed a serverless web application that is hosted on AWS. The application consists of Amazon S3. Amazon API Gateway, several AWS Lambda functions, and an Amazon RDS for MySQL database. The company is using AWS CodeCommit to store the source code. The source code is a combination of AWS Serverless Application Model (AWS SAM) templates and Python code.

A security audit and penetration test reveal that user names and passwords for authentication to the database are hardcoded within CodeCommit repositories. A DevOps engineer must implement a solution to automatically detect and prevent hardcoded secrets.

What is the MOST secure solution that meets these requirements?

A.

Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Write the secret to AWS Systems Manager Parameter Store as a secure string. Update the SAM templates and the Python code to pull the secret from Parameter Store.

B.

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.

C.

Enable Amazon CodeGuru Profiler. Decorate the handler function with @with_lambda_profiler(). Manually review the recommendation report. Choose the option to protect the secret. Update the SAM templates and the Python code to pull the secret from AWS Secrets Manager.

D.

Associate the CodeCommit repository with Amazon CodeGuru Reviewer. Manually check the code review for any recommendations. Write the secret to AWS Systems Manager Parameter Store as a string. Update the SAM templates and the Python code to pull the secret from Parameter Store.

The security team depends on AWS CloudTrail to detect sensitive security issues in the company's AWS account. The DevOps engineer needs a solution to auto-remediate CloudTrail being turned off in an AWS account.

What solution ensures the LEAST amount of downtime for the CloudTrail log deliveries?

A.

Create an Amazon EventBridge rule for the CloudTrail StopLogging event. Create an AWS Lambda (unction that uses the AWS SDK to call StartLogging on the ARN of the resource in which StopLogging was called. Add the Lambda function ARN as a target to the EventBridge rule.

B.

Deploy the AWS-managed CloudTrail-enabled AWS Config rule set with a periodic interval to 1 hour. Create an Amazon EventBridge rule tor AWS Config rules compliance change. Create an AWS Lambda function that uses the AWS SDK to call StartLogging on the ARN of the resource in which StopLoggmg was called. Add the Lambda function ARN as a target to the EventBridge rule.

C.

Create an Amazon EventBridge rule for a scheduled event every 5 minutes. Create an AWS Lambda function that uses the AWS SDK to call StartLogging on a CloudTrail trail in the AWS account. Add the Lambda function ARN as a target to the EventBridge rule.

D.

Launch a t2 nano instance with a script running every 5 minutes that uses the AWS SDK to query CloudTrail in the current account. If the CloudTrail trail is disabled have the script re-enable the trail.

A DevOps engineer is planning to deploy a Ruby-based application to production. The application needs to interact with an Amazon RDS for MySQL database and should have automatic scaling and high availability. The stored data in the database is critical and should persist regardless of the state of the application stack.

The DevOps engineer needs to set up an automated deployment strategy for the application with automatic rollbacks. The solution also must alert the application team when a deployment fails.

Which combination of steps will meet these requirements? (Select THREE.)

A.

Deploy the application on AWS Elastic Beanstalk. Deploy an Amazon RDS for MySQL DB instance as part of the Elastic Beanstalk configuration.

B.

Deploy the application on AWS Elastic Beanstalk. Deploy a separate Amazon RDS for MySQL DB instance outside of Elastic Beanstalk.

C.

Configure a notification email address that alerts the application team in the AWS Elastic Beanstalk configuration.

D.

Configure an Amazon EventBridge rule to monitor AWS Health events. Use an Amazon Simple Notification Service (Amazon SNS) topic as a target to alert the application team.

E.

Use the immutable deployment method to deploy new application versions.

F.

Use the rolling deployment method to deploy new application versions.

A large company recently acquired a small company. The large company invited the small company to join the large company's existing organization in AWS Organizations as a new OU. A DevOps engineer determines that the small company needs to launch t3.small Amazon EC2 instance types for the company's application workloads. The small company needs to deploy the instances only within US-based AWS Regions. The DevOps engineer needs to use an SCP in the small company's new OU to ensure that the small company can launch only the required instance types. Which solution will meet these requirements?

A.

Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.

B.

Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is not equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is not equal to us-.

C.

Configure a statement to deny the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to deny the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.

D.

Configure a statement to allow the ec2:RunInstances action for all EC2 instance resources when the ec2:InstanceType condition is equal to t3.small. Configure another statement to allow the ec2:RunInstances action for all EC2 instance resources when the aws:RequestedRegion condition is equal to us-.

A company is running a custom-built application that processes records. All the components run on Amazon EC2 instances that run in an Auto Scaling group. Each record's processing is a multistep sequential action that is compute-intensive. Each step is always completed in 5 minutes or less.

A limitation of the current system is that if any steps fail, the application has to reprocess the record from the beginning The company wants to update the architecture so that the application must reprocess only the failed steps.

What is the MOST operationally efficient solution that meets these requirements?

A.

Create a web application to write records to Amazon S3 Use S3 Event Notifications to publish to an Amazon Simple Notification Service (Amazon SNS) topic Use an EC2 instance to poll Amazon SNS and start processing Save intermediate results to Amazon S3 to pass on to the next step

B.

Perform the processing steps by using logic in the application. Convert the application code to run in a container. Use AWS Fargate to manage the container Instances. Configure the container to invoke itself to pass the state from one step to the next.

C.

Create a web application to pass records to an Amazon Kinesis data stream. Decouple the processing by using the Kinesis data stream and AWS Lambda functions.

D.

Create a web application to pass records to AWS Step Functions. Decouple the processing into Step Functions tasks and AWS Lambda functions.