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Viewing questions 61-70 out of questions

Questions # 61:

A company runs an application on Amazon EKS. The company needs comprehensive logging for control plane and nodes, analyze API requests, and monitor container performance with minimal operational overhead.

Which solution meets these requirements?

Options:

Enable CloudTrail for control plane logging; deploy Logstash as a ReplicaSet on nodes; use OpenSearch to store and analyze logs.

Enable control plane logging for EKS and send logs to CloudWatch; use CloudWatch Container Insights for node and container logs; use CloudWatch Logs Insights to query logs.

Enable API server control plane logging and send to S3; deploy Kubernetes Event Exporter on nodes; send logs to S3; use Athena and QuickSight for analysis.

Use AWS Distro for OpenTelemetry; stream logs to Firehose; analyze data in Redshift.

Expert Solution

Questions # 62:

A company has a continuous integration pipeline where the company creates container images by using AWS CodeBuild. The created images are stored in Amazon Elastic Container Registry (Amazon ECR). Checking for and fixing the vulnerabilities in the images takes the company too much time. The company wants to identify the image vulnerabilities quickly and notify the security team of the vulnerabilities. Which combination of steps will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

Activate Amazon Inspector enhanced scanning for Amazon ECR. Configure the enhanced scanning to use continuous scanning. Set up a topic in Amazon Simple Notification Service (Amazon SNS).

Create an Amazon EventBridge rule for Amazon Inspector findings. Set an Amazon Simple Notification Service (Amazon SNS) topic as the rule target.

Activate AWS Lambda enhanced scanning for Amazon ECR. Configure the enhanced scanning to use continuous scanning. Set up a topic in Amazon Simple Email Service (Amazon SES).

Create a new AWS Lambda function. Invoke the new Lambda function when scan findings are detected.

Activate default basic scanning for Amazon ECR for all container images. Configure the default basic scanning to use continuous scanning. Set up a topic in Amazon Simple Notification Service (Amazon SNS).

Expert Solution

Questions # 63:

A company requires its developers to tag all Amazon Elastic Block Store (Amazon EBS) volumes in an account to indicate a desired backup frequency. This requirement Includes EBS volumes that do not require backups. The company uses custom tags named Backup_Frequency that have values of none, dally, or weekly that correspond to the desired backup frequency. An audit finds that developers are occasionally not tagging the EBS volumes.

A DevOps engineer needs to ensure that all EBS volumes always have the Backup_Frequency tag so that the company can perform backups at least weekly unless a different value is specified.

Which solution will meet these requirements?

Options:

Set up AWS Config in the account. Create a custom rule that returns a compliance failure for all Amazon EC2 resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.

Set up AWS Config in the account. Use a managed rule that returns a compliance failure for EC2::Volume resources that do not have a Backup Frequency tag applied. Configure a remediation action that uses a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly.

Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.

Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that reacts to EBS CreateVolume events or EBS ModifyVolume events. Configure a custom AWS Systems Manager Automation runbook to apply the Backup_Frequency tag with a value of weekly. Specify the runbook as the target of the rule.

Expert Solution

Questions # 64:

A company hired a penetration tester to simulate an internal security breach The tester performed port scans on the company's Amazon EC2 instances. The company's security measures did not detect the port scans.

The company needs a solution that automatically provides notification when port scans are performed on EC2 instances. The company creates and subscribes to an Amazon Simple Notification Service (Amazon SNS) topic.

What should the company do next to meet the requirement?

Options:

Ensure that Amazon GuardDuty is enabled Create an Amazon CloudWatch alarm for detected EC2 and port scan findings. Connect the alarm to the SNS topic.

Ensure that Amazon Inspector is enabled Create an Amazon EventBridge event for detected network reachability findings that indicate port scans Connect the event to the SNS topic.

Ensure that Amazon Inspector is enabled. Create an Amazon EventBridge event for detected CVEs that cause open port vulnerabilities. Connect the event to the SNS topic

Ensure that AWS CloudTrail is enabled Create an AWS Lambda function to analyze the CloudTrail logs for unusual amounts of traffic from an IP address range Connect the Lambda function to the SNS topic.

Expert Solution

Questions # 65:

A company's application development team uses Linux-based Amazon EC2 instances as bastion hosts. Inbound SSH access to the bastion hosts is restricted to specific IP addresses, as defined in the associated security groups. The company's security team wants to receive a notification if the security group rules are modified to allow SSH access from any IP address.

What should a DevOps engineer do to meet this requirement?

Options:

Create an Amazon EventBridge rule with a source of aws.cloudtrail and the event name AuthorizeSecurityGroupIngress. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.

Enable Amazon GuardDuty and check the findings for security groups in AWS Security Hub. Configure an Amazon EventBridge rule with a custom pattern that matches GuardDuty events with an output of NON_COMPLIANT. Define an Amazon Simple Notification Service (Amazon SNS) topic as the target.

Create an AWS Config rule by using the restricted-ssh managed rule to check whether security groups disallow unrestricted incoming SSH traffic. Configure automatic remediation to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Enable Amazon Inspector. Include the Common Vulnerabilities and Exposures-1.1 rules package to check the security groups that are associated with the bastion hosts. Configure Amazon Inspector to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Expert Solution

Questions # 66:

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?

Options:

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

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

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

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

Expert Solution

Questions # 67:

A company has an application that runs on Amazon EC2 instances in an Auto Scaling group. The application processes a high volume of messages from an Amazon Simple Queue Service (Amazon SQS) queue.

A DevOps engineer noticed that the application took several hours to process a group of messages from the SQS queue. The average CPU utilization of the Auto Scaling group did not cross the threshold of a target tracking scaling policy when processing the messages. The application that processes the SQS queue publishes logs to Amazon CloudWatch Logs.

The DevOps engineer needs to ensure that the queue is processed quickly.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Schedule an Amazon EventBridge rule to run the Lambda function every hour. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scal

Create an AWS Lambda function. Configure the Lambda function to publish a custom metric by using the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to publish the queue messages for each instance. Create a CloudWatch subscription filter for the application logs with the Lambda function as the target. Create a target tracking scaling policy for the Auto Scaling group that

Create a target tracking scaling policy for the Auto Scaling group. In the target tracking policy, use the ApproximateNumberOfMessagesVisible SQS queue attribute and the GroupIn-ServiceInstances Auto Scaling group attribute to calculate how many messages are in the queue for each number of instances by using metric math. Use the calculated attribute to scale in and out.

Create an AWS Lambda function that logs the ApproximateNumberOfMessagesVisible attribute of the SQS queue to a CloudWatch Logs log group. Schedule an Amazon EventBridge rule to run the Lambda function every 5 minutes. Create a metric filter to count the number of log events from a CloudWatch logs group. Create a target tracking scaling policy for the Auto Scaling group that uses the custom metric to scale in and out.

Expert Solution

Questions # 68:

A company has a mission-critical application on AWS that uses automatic scaling The company wants the deployment lilecycle to meet the following parameters.

• The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic

• The application is CPU intensive and must be closely monitored

• The deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85%.

Which solution will meet these requirements?

Options:

Use AWS CloudFormalion to create an AWS Step Functions state machine and Auto Scaling hfecycle hooks to move to one instance at a time into a wait state Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

Use AWS CodeDeploy with Amazon EC2 Auto Scaling. Configure an alarm tied to the CPU utilization metric. Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached

Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created.

Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached

Expert Solution

Questions # 69:

A company requires that its internally facing web application be highly available. The architecture is made up of one Amazon EC2 web server instance and one NAT instance that provides outbound internet access for updates and accessing public data.

Which combination of architecture adjustments should the company implement to achieve high availability? (Choose two.)

Options:

Add the NAT instance to an EC2 Auto Scaling group that spans multiple Availability Zones. Update the route tables.

Create additional EC2 instances spanning multiple Availability Zones. Add an Application Load Balancer to split the load between them.

Configure an Application Load Balancer in front of the EC2 instance. Configure Amazon CloudWatch alarms to recover the EC2 instance upon host failure.

Replace the NAT instance with a NAT gateway in each Availability Zone. Update the route tables.

Replace the NAT instance with a NAT gateway that spans multiple Availability Zones. Update the route tables.

Expert Solution

Questions # 70:

A company is using AWS Organizations to create separate AWS accounts for each of its departments The company needs to automate the following tasks

• Update the Linux AMIs with new patches periodically and generate a golden image

• Install a new version to Chef agents in the golden image, is available

• Provide the newly generated AMIs to the department's accounts

Which solution meets these requirements with the LEAST management overhead'?

Options:

Write a script to launch an Amazon EC2 instance from the previous golden image Apply the patch updates Install the new version of the Chef agent, generate a new golden image, and then modify the AMI permissions to share only the new image with the department's accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Use AWS Resource Access Manager to share EC2 Image Builder images with the department's accounts

Use an AWS Systems Manager Automation runbook to update the Linux AMI by using the previous image Provide the URL for the script that will update the Chef agent Use AWS Organizations to replace the previous golden image in the department's accounts.

Use Amazon EC2 Image Builder to create an image pipeline that consists of the base Linux AMI and components to install the Chef agent Create a parameter in AWS Systems Manager Parameter Store to store the new AMI ID that can be referenced by the department's accounts

Expert Solution

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Viewing questions 61-70 out of questions

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