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An application running on a set of Amazon EC2 instances in an Auto Scaling group requires a configuration file to operate. The instances are created and maintained with AWS CloudFormation. A DevOps engineer wants the instances to have the latest configuration file when launched and wants changes to the configuration file to be reflected on all the instances with a minimal delay when the CloudFormation template is updated.
Company policy requires that application configuration files be maintained along with AWS infrastructure configuration files m source control.
Which solution will accomplish this?
A. In the CloudFormaiion template add an AWS Config rule. Place the configuration file content in the rule's InputParameters property and set the Scope property to the EC2 Auto Scaling group. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.
B. In the CloudFormation template add CloudFormation imt metadata. Place the configuration file content m the metadata. Configure the cfn-init script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.
C. In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Configure the cfn-mit script to run when the instance is launched and configure the cfn-hup script to poll for updates to the configuration.
D. In the CloudFormation template add an EC2 launch template resource. Place the configuration file content in the launch template. Add an AWS Systems Manager Resource Data Sync resource to the template to poll for updates to the configuration.
Answer: B
Explanation:
Explanation
Use the AWS::CloudFormation::Init type to include metadata on an Amazon EC2 instance for the cfn-init helper script. If your template calls the cfn-init script, the script looks for resource metadata rooted in the AWS::CloudFormation::Init metadata key. Reference: https://docs.aws.amazon.com/AWSC ... -resource-init.html
NEW QUESTION # 311
A DevOps team manages an API running on-premises that serves as a backend for an Amazon API Gateway endpoint. Customers have been complaining about high response latencies, which the development team has verified using the API Gateway latency metrics in Amazon CloudWatch. To identify the cause, the team needs to collect relevant data without introducing additional latency.
Which actions should be taken to accomplish this? (Choose two.)
A. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and upload those segments to X-Ray during each request.
B. Enable AWS X-Ray tracing in API Gateway, modify the application to capture request segments, and use the X-Ray daemon to upload segments to X-Ray.
C. Modify the on-premises application to send log information back to API Gateway with each request.
D. Install the CloudWatch agent server side and configure the agent to upload relevant logs to CloudWatch.
E. Modify the on-premises application to calculate and upload statistical data relevant to the API service requests to CloudWatch metrics.
NEW QUESTION # 312
A company has several AWS accounts. An Amazon Connect instance runs in each account. The company uses an Amazon EventBridge default event bus in each account for event handling.
A DevOps team needs to receive all the Amazon Connect events in a single DevOps account.
Which solution meets these requirements?
A. Update the resource-based policy of the default event bus in each account to allow the DevOps account to replay events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.
B. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be received from the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
C. Update the resource-based policy of the default event bus in the DevOps account. Update the policy to allow events to be replayed by the accounts. Configure an EventBridge rule in each account that matches Amazon Connect events and has a target of the DevOps account's default event bus.
D. Update the resource-based policy of the default event bus in each account to allow the DevOps account to receive events. Configure an EventBridge rule in the DevOps account that matches Amazon Connect events and has a target of the default event bus in the other accounts.
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To aggregate events from multiple accounts into a single account, thedefault event bus in the receiving (DevOps) accountmust have a resource-based policy allowing the source accounts to put events into it.
Then, an EventBridgerule in each source accountroutes Amazon Connect events to thedefault event bus in the DevOps account(cross-account event delivery).
Options A and B describe policies or rules incorrectly applying permissions or routing. Option D mentions replay permissions, which are unrelated to event routing.
References:
EventBridge Cross-Account Event Delivery
Resource-Based Policies for Event Buses
NEW QUESTION # 313
A company deploys a web application on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The company stores the application code in an AWS CodeCommit repository. When code is merged to the main branch, an AWS Lambda function invokes an AWS CodeBuild project. The CodeBuild project packages the code, stores the packaged code in AWS CodeArtifact, and invokes AWS Systems Manager Run Command to deploy the packaged code to the EC2 instances.
Previous deployments have resulted in defects, EC2 instances that are not running the latest version of the packaged code, and inconsistencies between instances.
Which combination of actions should a DevOps engineer take to implement a more reliable deployment solution? (Select TWO.)
A. Create an Amazon S3 bucket. Modify the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact. Use deploy actions in CodeDeploy to deploy the artifact to the EC2 instances.
B. Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider.
Create separate pipeline stages that run a CodeBuild project to build and then test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
C. Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group.
D. Create individual Lambda functions that use AWS CodeDeploy instead of Systems Manager to run build, test, and deploy actions.
E. Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider.
Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action.
Answer: C,E
Explanation:
To implement a more reliable deployment solution, a DevOps engineer should take the following actions:
Create a pipeline in AWS CodePipeline that uses the CodeCommit repository as a source provider. Configure pipeline stages that run the CodeBuild project in parallel to build and test the application. In the pipeline, pass the CodeBuild project output artifact to an AWS CodeDeploy action. This action will improve the deployment reliability by automating the entire process from code commit to deployment, reducing human errors and inconsistencies. By running the build and test stages in parallel, the pipeline can also speed up the delivery time and provide faster feedback. By using CodeDeploy as the deployment action, the pipeline can leverage the features of CodeDeploy, such as traffic shifting, health checks, rollback, and deployment configuration123 Create an AWS CodeDeploy application and a deployment group to deploy the packaged code to the EC2 instances. Configure the ALB for the deployment group. This action will improve the deployment reliability by using CodeDeploy to orchestrate the deployment across multiple EC2 instances behind an ALB.
CodeDeploy can perform blue/green deployments or in-place deployments with traffic shifting, which can minimize downtime and reduce risks. CodeDeploy can also monitor the health of the instances during and after the deployment, and automatically roll back if any issues are detected. By configuring the ALB for the deployment group, CodeDeploy can register and deregister instances from the load balancer as needed, ensuring that only healthy instances receive traffic45 The other options are not correct because they do not improve the deployment reliability or follow best practices. Creating separate pipeline stages that run a CodeBuild project to build and then test the application is not a good option because it will increase the pipeline execution time and delay the feedback loop. Creating individual Lambda functions that use CodeDeploy instead of Systems Manager to run build, test, and deploy actions is not a valid option because it will add unnecessary complexity and cost to the solution. Lambda functions are not designed for long-running tasks such as building or deploying applications. Creating an Amazon S3 bucket and modifying the CodeBuild project to store the packages in the S3 bucket instead of in CodeArtifact is not a necessary option because it will not affect the deployment reliability. CodeArtifact is a secure, scalable, and cost-effective package management service that can store and share software packages for application development67
1: What is AWS CodePipeline? - AWS CodePipeline
2: Create a pipeline in AWS CodePipeline - AWS CodePipeline
3: Deploy an application with AWS CodeDeploy - AWS CodePipeline
4: What is AWS CodeDeploy? - AWS CodeDeploy
5: Configure an Application Load Balancer for your blue/green deployments - AWS CodeDeploy
6: What is AWS Lambda? - AWS Lambda
7: What is AWS CodeArtifact? - AWS CodeArtifact
NEW QUESTION # 314
An ecommerce company hosts a web application on Amazon EC2 instances that are in an Auto Scaling group.
The company deploys the application across multiple Availability Zones.
Application users are reporting intermittent performance issues with the application.
The company enables basic Amazon CloudWatch monitoring for the EC2 instances. The company identifies and implements a fix for the performance issues. After resolving the issues, the company wants to implement a monitoring solution that will quickly alert the company about future performance issues.
Which solution will meet this requirement?
A. Enable VPC Flow Logs. Use Amazon Data Firehose to stream flow logs to Amazon S3. Use Amazon Athena to analyze the logs and to send alerts to the company.
B. Enable detailed monitoring for the EC2 instances. Create custom CloudWatch metrics for application- specific performance indicators. Set up CloudWatch alarms based on the custom metrics. Use CloudWatch Logs Insights to analyze application logs for error patterns.
C. Use Amazon CloudFront to deliver the application. Use AWS CloudTrail to monitor API calls. Use AWS Trusted Advisor to generate recommendations to optimize performance. Use Amazon GuardDuty to detect potential performance issues.
D. Use AWS X-Ray to implement distributed tracing. Integrate X-Ray with Amazon CloudWatch RUM.
Use Amazon EventBridge to trigger automatic scaling actions based on custom events.
Answer: B
Explanation:
The company needs fast, proactive alerts for future performance issues, beyond basic EC2 metrics. Option A provides a complete, AWS-native monitoring pattern aligned with best practices:
* Enable detailed monitoring on EC2 instances to increase metric resolution (from 5-minute to 1-minute intervals), improving the responsiveness of alarms.
* Define custom CloudWatch metrics for application-level indicators such as request latency, error rate, queue depth, or throughput. These metrics can be published from the application or sidecar agents.
* Create CloudWatch alarms on both infrastructure (CPU, network, disk) and custom application metrics with thresholds that reflect performance SLOs. Alarms can notify teams via SNS or incident management tools.
* Use CloudWatch Logs Insights to analyze logs for recurring error patterns, slow requests, or exceptions when alarms fire.
Option B focuses on tracing and frontend RUM; while useful, it is more complex and not necessary just to get quick alerts. Option C uses services (CloudTrail, GuardDuty, Trusted Advisor) that are not focused on real- time performance detection. Option D with VPC Flow Logs is network-level and would not detect general application performance issues.
Thus, Option A offers a direct, efficient way to detect and alert on performance degradations quickly.
NEW QUESTION # 315
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