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A company frequently creates Docker images of an application. The company stores the images in Amazon Elastic Container Registry (Amazon ECR) . The company creates both tagged images and untagged images.

The company wants to implement a solution to automatically delete images that have not been updated for a long time and are not frequently used. The solution must retain at least a specified number of images.

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

A.

Use Amazon S3 Lifecycle policies on the ECR repository to automatically delete images based on image age or the absence of tags on the image.

B.

Use Amazon ECR lifecycle policies to delete images based on age or the number of images that need to be retained in the repository.

C.

Configure an AWS Lambda function to run on a schedule to delete images based on age or the number of images that need to be retained in the repository.

D.

Use AWS Systems Manager to run a script by using the aws:executeScript action to automatically delete images based on image age or the absence of tags on the image.

A company’s web app runs on EC2 Linux instances and needs to monitor custom metrics for API response and DB query latency across instances with least overhead.

Which solution meets this?

A.

Install CloudWatch agent on instances, configure it to collect custom metrics, and instrument app to send metrics to agent.

B.

Use Amazon Managed Service for Prometheus to scrape metrics, use CloudWatch agent to forward metrics to CloudWatch.

C.

Create Lambda to poll app endpoints and DB, calculate metrics, send to CloudWatch via PutMetricData.

D.

Implement custom logging in app; use CloudWatch Logs Insights to extract and analyze metrics.

A company uses a trunk-based development branching strategy. The company has two AWS CodePipeline pipelines that are integrated with a Git provider. The pull_request pipeline has a branch filter that matches the feature branches. The main_branch pipeline has a branch filter that matches the main branch.

When pull requests are merged into the main branch, the pull requests are deployed by using the main_branch pipeline. The company ' s developers need test results for all submitted pull requests as quickly as possible from the pull_request pipeline. The company wants to ensure that the main_branch pipeline ' s test results finish and that each deployment is complete before the next pipeline execution.

Which solution will meet these requirements?

A.

Configure the pull_request pipeline to use SUPERSEDED mode. Configure the main_branch pipeline to use QUEUED mode.

B.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use QUEUED mode.

C.

Configure the pull_request pipeline to use PARALLEL mode. Configure the main_branch pipeline to use SUPERSEDED mode.

D.

Configure the pull_request pipeline to use QUEUED mode. Configure the main_branch pipeline to use SUPERSEDED mode.

A company has an application that runs on Amazon EC2 instances that are in an Auto Scaling group. When the application starts up. the application needs to process data from an Amazon S3 bucket before the application can start to serve requests.

The size of the data that is stored in the S3 bucket is growing. When the Auto Scaling group adds new instances, the application now takes several minutes to download and process the data before the application can serve requests. The company must reduce the time that elapses before new EC2 instances are ready to serve requests.

Which solution is the MOST cost-effective way to reduce the application startup time?

A.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

B.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

C.

Configure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

D.

Increase the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.

A DevOps engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2 Auto Scaling, is configured to perform in-place deployments with codeDeployDefault.oneAtATime During an ongoing new deployment, the engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision

What is likely causing this issue?

A.

The two affected instances failed to fetch the new deployment.

B.

A failed Afterinstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances

C.

The CodeDeploy agent was not installed in two affected instances.

D.

EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.

A company manages multiple AWS accounts in AWS Organizations. The company ' s security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.

A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization ' s root level that will prevent the root user in member accounts from making any AWS service API calls.

Which SCP will meet these requirements?

A)

B)

C)

D)

A.

Option A

B.

Option B

C.

Option C

D.

Option D

A company is using AWS CodeDeploy to deploy applications to a fleet of Amazon EC2 instances. During a recent deployment, several EC2 instances failed to update successfully. A DevOps engineer must investigate the root cause of the failures and must determine which specific deployment lifecycle events encountered errors.

What is the MOST operationally efficient way to access and analyze the detailed deployment logs for troubleshooting?

A.

Use SSH to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

B.

Use AWS Systems Manager Session Manager to connect to each EC2 instance that failed to update successfully. Read the logs from the CodeDeploy agent.

C.

Create an Amazon S3 bucket to store CodeDeploy logs. Update the appspec.yml file to copy logs to the S3 bucket. Query the S3 bucket by using Amazon Athena.

D.

Send CodeDeploy agent logs to Amazon CloudWatch Logs by using the CloudWatch agent. Analyze the logs by using CloudWatch Logs Insights.

A company built its serverless infrastructure on AWS. The infrastructure consists of an Amazon API Gateway REST API, multiple AWS Lambda functions, and Amazon EventBridge.

The company wants to be aware of any new supply chain attacks that the company ' s CI/CD pipelines do not catch. The company needs a solution to detect malicious activity in the deployed application.

Which solution meets these requirements?

A.

Enable AWS WAF for the API Gateway REST API. Configure an AWS WAF ACL. Add the known bad inputs managed rule group.

B.

Enable Amazon GuardDuty. Enable Lambda Protection. Use EventBridge for event notifications.

C.

Deploy AWS CloudFormation Guard in the CI/CD pipelines. Write rules to catch the supply chain attacks.

D.

Create a firewall in AWS Network Firewall. Configure a policy. Add the managed rule for the Emerging Threats rule group.

A company is testing a web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The company uses a blue green deployment process with immutable instances when deploying new software.

During testing users are being automatically logged out of the application at random times. Testers also report that when a new version of the application is deployed all users are logged out. The development team needs a solution to ensure users remain logged m across scaling events and application deployments.

What is the MOST operationally efficient way to ensure users remain logged in?

A.

Enable smart sessions on the load balancer and modify the application to check tor an existing session.

B.

Enable session sharing on the toad balancer and modify the application to read from the session store.

C.

Store user session information in an Amazon S3 bucket and modify the application to read session information from the bucket.

D.

Modify the application to store user session information in an Amazon ElastiCache cluster.

A company ' s security policies require the use of security hardened AMIS in production environments. A DevOps engineer has used EC2 Image Builder to create a pipeline that builds the AMIs on a recurring schedule.

The DevOps engineer needs to update the launch templates of the companys Auto Scaling groups. The Auto Scaling groups must use the newest AMIS during the launch of Amazon EC2 instances.

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

A.

Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Systems Manager Run Command document that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

B.

Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Lambda function that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

C.

Configure the launch template to use a value from AWS Systems Manager Parameter Store for the AMI ID. Configure the Image Builder pipeline to update the Parameter Store value with the newest AMI ID.

D.

Configure the Image Builder distribution settings to update the launch templates with the newest AMI ID. Configure the Auto Scaling groups to use the newest version of the launch template.