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A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks

Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue

Which combination of actions will meet these requirements? (Select TWO.)

A.

Change the Auto Scaling configuration to replace the instances when they fail the load balancer ' s health checks.

B.

Change the target group health check HealthChecklntervalSeconds parameter to reduce the interval between health checks.

C.

Change the target group health checks from HTTP to TCP to check if the port where the application is listening is reachable.

D.

Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group Create an alarm when the memory utilization is high Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off

E.

Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.

A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances.

How can the deployments of the operating system and application patches be automated using a default and custom repository?

A.

Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.

B.

Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.

C.

Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.

D.

Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.

A company deploys an application to Amazon EC2 instances. The application runs Amazon Linux 2 and uses AWS CodeDeploy. The application has the following file structure for its code repository:

appspec.yml

config/config.txt application/web

The appspec yml file has the following contents in the files section

files:

- source: config/config.txt

destination: /usr/local/src/config.txt

- source: /

destination: /var/www/html

The appspec.yml file has the following contents in the files section:

What will the result be for the deployment of the config.txt file?

A.

The config.txt file will be deployed to only /var/www/html/config/config txt

B.

The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.

C.

The config.txt file will be deployed to only /usr/local/src/config txt

D.

The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt

A company containerized its Java app and uses CodePipeline. They want to scan images in ECR for vulnerabilities and reject images with critical vulnerabilities in a manual approval stage.

Which solution meets these?

A.

Basic scanning with EventBridge for Inspector findings and Lambda to reject manual approval if critical vulnerabilities found.

B.

Enhanced scanning, Lambda invokes Inspector for SBOM, exports to S3, Athena queries SBOM, rejects manual approval on critical findings.

C.

Enhanced scanning, EventBridge listens to Detective scan findings, Lambda rejects manual approval on critical vulnerabilities.

D.

Enhanced scanning, EventBridge listens to Inspector scan findings, Lambda rejects manual approval on critical vulnerabilities.

A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.

How should a DevOps engineer meet these requirements?

A.

In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.

B.

In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data. Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.

C.

In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use Amazon RDS for PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.

D.

In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon Route 53 DNS record at the CloudFront distribution.

A company detects unusual login attempts in many of its AWS accounts. A DevOps engineer must implement a solution that sends a notification to the company ' s security team when multiple failed login attempts occur. The DevOps engineer has already created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the security team to the SNS topic.

Which solution will provide the notification with the LEAST operational effort?

A.

Configure AWS CloudTrail to send log management events to an Amazon CloudWatch Logs log group. Create a CloudWatch Logs metric filter to match failed ConsoleLogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

B.

Configure AWS CloudTrail to send log management events to an Amazon S3 bucket. Create an Amazon Athena query that returns a failure if the query finds failed logins in the logs in the S3 bucket. Create an Amazon EventBridge rule to periodically run the query. Create a second EventBridge rule to detect when the query fails and to send a message to the SNS topic.

C.

Configure AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group. Create a CloudWatch logs metric filter to match failed Consolel_ogin events. Create a CloudWatch alarm that is based on the metric filter. Configure an alarm action to send messages to the SNS topic.

D.

Configure AWS CloudTrail to send log data events to an Amazon S3 bucket. Configure an Amazon S3 event notification for the s3:ObjectCreated event type. Filter the event type by ConsoleLogin failed events. Configure the event notification to forward to the SNS topic.

A developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing.

Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated.

How can log collection be automated?

A.

Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch alarm for EC2 Instance Terminate Successful and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

B.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an AWS Config rule for EC2 Instance-terminate Lifecycle Action and trigger a step function that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

C.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance Terminate Successful and trigger a CloudWatch agent that invokes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

D.

Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon EventBridge rule for EC2 Instance-terminate Lifecycle Action and trigger an AWS Lambda function that invokes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected.

A company uses an Amazon Elastic Kubernetes Service (Amazon EKS) cluster to deploy its web applications on containers. The web applications contain confidential data that cannot be decrypted without specific credentials.

A DevOps engineer has stored the credentials in AWS Secrets Manager. The secrets are encrypted by an AWS Key Management Service (AWS KMS) customer managed key. A Kubernetes service account for a third-party tool makes the secrets available to the applications. The service account assumes an IAM role that the company created to access the secrets.

The service account receives an Access Denied (403 Forbidden) error while trying to retrieve the secrets from Secrets Manager.

What is the root cause of this issue?

A.

The IAM role that is attached to the EKS cluster does not have access to retrieve the secrets from Secrets Manager.

B.

The key policy for the customer managed key does not allow the Kubernetes service account IAM role to use the key.

C.

The key policy for the customer managed key does not allow the EKS cluster IAM role to use the key.

D.

The IAM role that is assumed by the Kubernetes service account does not have permission to access the EKS cluster.

A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.

The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.

Which solution will meet these requirements in the MOST operationally efficient manner?

A.

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

B.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.

C.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.

D.

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

A company uses an organization in AWS Organizations to manage many AWS accounts. The company has enabled all features for the organization. The company uses AWS CloudFormation StackSets to deploy configurations to the accounts. The company uses AWS Config to monitor an Amazon S3 bucket. The company needs to ensure that all object uploads to the S3 bucket use AWS Key Management Service (AWS KMS) encryption. Which solution will meet these requirements?

A.

Create an AWS Config conformance pack that includes the s3-bucket-server-side-encryption-enabled rule. Deploy the conformance pack to the accounts. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.

B.

Create an SCP that includes a deny statement for the s3:createBucket action and a condition statement where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.

C.

Create an AWS CloudFormation stack set to enable an AWS CloudTrail trail to capture S3 data events for the organization. In the stack set, create an Amazon EventBridge rule to match S3 PutObject events that do not use AWS KMS encryption. Configure the rule to target an Amazon Simple Notification Service (Amazon SNS) topic.

D.

Create an SCP that includes a deny statement for the s3:putObject action and a condition where s3:x-amz-server-side-encryption is not aws:kms. Attach the SCP to the root of the organization.