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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q127-Q132):

NEW QUESTION # 127
A company uses a pipeline in AWS CodePipeline to upload AWS CloudFormation templates to an Amazon S3 bucket. The pipeline uses the templates to deploy CloudFormation stacks that match the names of the templates.
The company has experienced issues when it tries to revert templates to a previous version. To prevent these issues, the company must have the ability to review template modifications before the modifications are deployed to production.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure a pull request workflow to review template modifications. Configure AWS CloudFormation Git sync for the stacks.
B. Configure a connection in AWS CodeConnections to a Git repository. Store the templates in the Git repository. Configure the pipeline to include a source action that uses the connection. Add a manual review action to the pipeline to review template modifications before the stack deployments.
C. Update the pipeline to invoke an AWS Lambda function to check the template modifications before the stack deployments.
D. Add a manual review action in the pipeline to review modifications to the template code before the stack deployments.

Answer: D

Explanation:
The requirement is simply: review changes before production deployment, with the least operational overhead.
B is the lightest change: adding a Manual approval (review) action in CodePipeline creates a controlled gate before the deploy stage. It requires no new repositories, no new services, and no custom code-just pipeline configuration.
Why not the others:
A introduces additional moving parts (Git repo integration, PR workflow management, and CloudFormation Git sync). That's useful, but it's more operational overhead than necessary to satisfy "review before deploy." C requires custom Lambda logic to inspect templates and decide whether to proceed-more code to write, run, secure, and maintain.
D adds both Git integration and a manual approval step-again more overhead than just adding the approval gate.

NEW QUESTION # 128
A company ' s application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data.
The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.
The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.
Which combination of steps will meet these requirements? (Select TWO.)

A. For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.
B. For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.
C. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.
D. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.
E. For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

Answer: B,D

Explanation:
For the critical data, using a warm pool1 can reduce the scale-out latency by having pre-initialized EC2 instances ready to serve the application traffic. Using On-Demand Instances can ensure that the instances are always available and not interrupted by Spot interruptions2.
For the noncritical data, using a second Auto Scaling group with Spot Instances can reduce the cost and leverage the unused capacity of EC23. Using a launch template with the CloudWatch agent4 can enable the collection of memory utilization metrics, which can be used to scale the group based on the memory demand.
Adding the second group as a target group for the ALB and modifying the application to use two target groups can enable routing the traffic based on the data type.
1: Warm pools for Amazon EC2 Auto Scaling 2: Amazon EC2 On-Demand Capacity Reservations 3: Amazon EC2 Spot Instances 4: Metrics collected by the CloudWatch agent

NEW QUESTION # 129
A company produces builds for an open source project every day. The company hosts the open source project in a public code repository that the company supports. The company manually invokes a pipeline in AWS CodePipeline to build artifacts for the project. The company wants to make the build artifacts publicly available on a website that the company hosts in an Amazon S3 bucket.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS CodeBuild project. Set the public repository as the source. Use a webhook to rebuild when the company pushes a code change. Configure the artifacts section of the project to use the S3 bucket as the destination. Set up an appropriate path to store build outputs in the bucket. Disable artifact encryption.
B. Create an AWS CodeBuild project. Set the public repository as the source. Configure the artifacts section of the project to use the S3 bucket as the destination. Ensure that artifact encryption is enabled in the artifacts configuration. Configure an Amazon EventBridge rule to initiate the CodeBuild project on a daily schedule.
C. Add a new stage to the end of the pipeline. Configure the stage to include an action to publish artifacts to the S3 bucket. Create an Amazon EventBridge rule to initiate the pipeline on a daily schedule.
D. Add a new stage to the end of the pipeline. Configure the stage to include an action to publish artifacts to the S3 bucket. Update the pipeline to run in response to pull requests to the public repository.

Answer: B

Explanation:
The company's primary goals are to produce daily builds, publish artifacts to an Amazon S3-hosted website, and do so with the least operational overhead. Because the source repository is public and builds are produced on a fixed daily schedule, there is no requirement for complex multi-stage orchestration or manual pipeline invocations.
Option B provides the most streamlined and AWS-recommended solution. By using AWS CodeBuild directly with the public repository as the source, the company eliminates the need to manage an AWS CodePipeline altogether. CodeBuild can natively compile the project and publish build artifacts directly to an Amazon S3 bucket through its artifacts configuration. This minimizes service dependencies and operational complexity.
Using an Amazon EventBridge scheduled rule to trigger the CodeBuild project daily ensures builds occur automatically without manual intervention. Enabling artifact encryption is the AWS best practice, even for public artifacts, because encryption at rest does not prevent public read access when bucket policies allow it.
Option A relies on webhooks and push-based triggers, which do not meet the "build every day" requirement and introduce unnecessary coupling to repository activity. Options C and D retain CodePipeline, which adds extra configuration and maintenance overhead without providing additional value for this simple build-and- publish workflow.
Therefore, Option B meets all requirements with the least operational effort while following AWS- recommended CI/CD design principles.

NEW QUESTION # 130
A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.
The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers' IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.
What should the company do to restrict the developers' ability to push changes to the main branch directly?

A. Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.
A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a condition that references the main branch
B. Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.
C. Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.
D. Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.

Answer: A

Explanation:
By default, the AWSCodeCommitPowerUser managed policy allows users to push changes to any branch in any repository in the AWS account. To restrict the developers' ability to push changes to the main branch directly, an additional policy is needed that explicitly denies these actions for the main branch.
The Deny rule should be included in a policy statement that targets the specific repositories and includes a condition that references the main branch. The policy statement should look something like this:
{
"Effect": "Deny",
"Action": [
"codecommit:GitPush",
"codecommit:PutFile"
],
"Resource": "arn:aws:codecommit:<region>:<account-id>:<repository-name>",
"Condition": {
"StringEqualsIfExists": {
"codecommit:References": [
"refs/heads/main"
]
}
}

NEW QUESTION # 131
A company has deployed an application in a production VPC in a single AWS account. The application is popular and is experiencing heavy usage. The company's security team wants to add additional security, such as AWS WAF, to the application deployment. However, the application's product manager is concerned about cost and does not want to approve the change unless the security team can prove that additional security is necessary.
The security team believes that some of the application's demand might come from users that have IP addresses that are on a deny list. The security team provides the deny list to a DevOps engineer. If any of the IP addresses on the deny list access the application, the security team wants to receive automated notification in near real time so that the security team can document that the application needs additional security. The DevOps engineer creates a VPC flow log for the production VPC.
Which set of additional steps should the DevOps engineer take to meet these requirements MOST cost- effectively?

A. Create a log group in Amazon CloudWatch Logs. Configure the VPC flow log to capture accepted traffic and to send the data to the log group. Create an Amazon CloudWatch metric filter for IP addresses on the deny list. Create a CloudWatch alarm with the metric filter as input. Set the period to 5 minutes and the datapoints to alarm to 1. Use an Amazon Simple Notification Service (Amazon SNS) topic to send alarm notices to the security team.
B. Create a log group in Amazon CloudWatch Logs. Create an Amazon S3 bucket to hold query results.
Configure the VPC flow log to capture all traffic and to send the data to the log group. Deploy an Amazon Athena CloudWatch connector in AWS Lambda. Connect the connector to the log group.Configure Athena to periodically query for all accepted traffic from the IP addresses on the deny list and to store the results in the S3 bucket. Configure an S3 event notification to automatically notify the security team through an Amazon Simple Notification Service (Amazon SNS) topic when new objects are added to the S3 bucket.
C. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture all traffic and to send the data to the S3 bucket. Configure Amazon Athena to return all log files in the S3 bucket for IP addresses on the deny list. Configure Amazon QuickSight to accept data from Athena and to publish the data as a dashboard that the security team can access. Create a threshold alert of 1 for successful access.
Configure the alert to automatically notify the security team as frequently as possible when the alert threshold is met.
D. Create an Amazon S3 bucket for log files. Configure the VPC flow log to capture accepted traffic and to send the data to the S3 bucket. Configure an Amazon OpenSearch Service cluster and domain for the log files. Create an AWS Lambda function to retrieve the logs from the S3 bucket, format the logs, and load the logs into the OpenSearch Service cluster. Schedule the Lambda function to run every 5 minutes. Configure an alert and condition in OpenSearch Service to send alerts to the security team through an Amazon Simple Notification Service (Amazon SNS) topic when access from the IP addresses on the deny list is detected.

Answer: A

NEW QUESTION # 132
......

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