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To earn the certification, candidates must demonstrate their ability to design and manage continuous delivery systems and methodologies on AWS, implement and automate security controls, deploy and operate highly available, scalable, and fault-tolerant systems, and monitor and log systems to ensure operational availability and performance.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q31-Q36):
NEW QUESTION # 31
A company wants to improve its security practices by enforcing least privilege across all projects. Developers must be able to access Amazon EC2 resources but not Amazon RDS resources. Database administrators must have access only to Amazon RDS resources.
Every employee has a unique IAM user. There are already pre-existing IAM policies for developer and database administrator job functions. All AWS resources are already tagged with appropriate project tags. All the IAM users are tagged with the appropriate project and job function.
The company must ensure that each employee can access only the project that the employee is working on.
Which solution will meet these requirements? (Select THREE.)
- A. Create an IAM policy that allows users to assume a role only when the ResourceTag values match the PrincipalTag values for project tags and job function tags. Attach the new policy to all IAM users.
- B. Tag the pre-existing IAM policies with the appropriate projects and job functions. Attach the modified policies to IAM roles for each job function.
- C. Modify the pre-existing IAM policies to include a StringEquals condition that compares the ResourceTag for projects with the PrincipalTag value. Attach the modified policies to the IAM roles for each job function.
- D. For each project, create one IAM group for developers and one IAM group for database administrators.Add the appropriate users to each group so the users can assume their respective IAM roles.
- E. For each project, create one IAM role for developers and one IAM role for database administrators. Tag the IAM roles with the corresponding projects and job functions.
- F. Create an IAM policy that allows users to assume a role only when the ResourceTag values match the PrincipalTag values for project tags and job function tags. Attach the new policy to the IAM roles for each job function.
Answer: A,C,E
Explanation:
The requirements describe a classic attribute-based access control (ABAC) model using AWS IAM. The company already has consistent tagging across users and resources, which is ideal for ABAC and least- privilege enforcement at scale.
First, Option A is required because IAM roles should represent job functions (developer vs. database administrator) and be scoped per project. Creating separate roles per project and job function allows permissions to be isolated cleanly and prevents cross-project access.
Second, Option B enforces project-level isolation at the policy level. By modifying the existing job-function policies to include a StringEquals condition that compares aws:ResourceTag/Project with aws:PrincipalTag
/Project, access is automatically limited to only those resources that belong to the same project as the user.
This is an AWS-recommended ABAC pattern and avoids policy sprawl.
Third, Option C is required so users can assume roles only when their tags match the role's tags. An IAM policy attached to users that allows sts:AssumeRole only if both project and job function tags match ensures users cannot assume roles outside their assigned scope.
Options D, E, and F either misapply policies to the wrong entities, misuse tagging on policies (which IAM does not evaluate for authorization), or introduce unnecessary group-based management that conflicts with the ABAC design.
Therefore, A, B, and C together provide least privilege, project isolation, and scalable access control with minimal ongoing administration.
NEW QUESTION # 32
A company runs an application on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster in the company's primary AWS Region and secondary Region. The company uses Auto Scaling groups to distribute each EKS cluster's worker nodes across multiple Availability Zones. Both EKS clusters also have an Application Load Balancer (ALB) to distribute incoming traffic.
The company wants to deploy a new stateless application to its infrastructure. The company requires a multi- Region, fault tolerant solution.
Which solution will meet these requirements?
- A. Deploy the new application to both EKS clusters. Create Amazon Route 53 records with health checks for both ALBs. Use a failover routing policy. Implement Kubernetes readiness and liveness probes.
- B. Deploy the new application to the EKS cluster in the primary Region. Create Amazon Route 53 records with health checks for the primary Region ALB. Use a simple routing policy.
- C. Deploy the new application to both EKS clusters. Create Amazon Route 53 records with a weighted routing policy that evenly splits traffic between both ALBs. Implement Kubernetes readiness and liveness probes.
- D. Deploy the new application to the EKS cluster in the primary Region. Create Amazon Route 53 records with health checks for the primary Region ALB. Use a failover routing policy.
Answer: C
Explanation:
The requirement is to deploy a stateless application with multi-Region fault tolerance, ensuring high availability even if an entire AWS Region becomes unavailable. For this design, traffic must be actively served from both Regions, not only during a failure event.
Option C correctly implements an active-active, multi-Region architecture. By deploying the application to both EKS clusters, each Region is capable of serving traffic independently. Using Amazon Route 53 weighted routing, traffic is distributed across both Application Load Balancers, allowing both Regions to handle requests simultaneously. If one Region becomes unhealthy, Route 53 health checks can stop routing traffic to that Region, maintaining availability.
Implementing Kubernetes readiness and liveness probes ensures that traffic is only sent to healthy pods within each cluster. This provides fault tolerance at both the container level (pod health) and the Regional level (Route 53 routing).
Option A uses a failover routing policy, which results in an active-passive design. While fault tolerant, it does not utilize both Regions simultaneously and provides slower recovery during Region failure. Options B and D deploy the application only in the primary Region, which does not meet multi-Region fault tolerance requirements.
Therefore, Option C delivers the most resilient, highly available, and AWS-recommended architecture for a stateless, multi-Region EKS application.
NEW QUESTION # 33
A company uses an organization in AWS Organizations that has all features enabled. The company uses AWS Backup in a primary account and uses an AWS Key Management Service (AWS KMS) key to encrypt the backups.
The company needs to automate a cross-account backup of the resources that AWS Backup backs up in the primary account. The company configures cross-account backup in the Organizations management account. The company creates a new AWS account in the organization and configures an AWS Backup backup vault in the new account. The company creates a KMS key in the new account to encrypt the backups. Finally, the company configures a new backup plan in the primary account. The destination for the new backup plan is the backup vault in the new account.
When the AWS Backup job in the primary account is invoked, the job creates backups in the primary account. However, the backups are not copied to the new account's backup vault.
Which combination of steps must the company take so that backups can be copied to the new account's backup vault? (Select TWO.)
- A. Edit the key policy of the KMS key in the primary account to share the key with the new account.
- B. Edit the backup vault access policy in the primary account to allow access to the KMS key in the new account.
- C. Edit the key policy of the KMS key in the new account to share the key with the primary account.
- D. Edit the backup vault access policy in the new account to allow access to the primary account.
- E. Edit the backup vault access policy in the primary account to allow access to the new account.
Answer: C,D
Explanation:
To enable cross-account backup, the company needs to grant permissions to both the backup vault and the KMS key in the destination account. The backup vault access policy in the destination account must allow the primary account to copy backups into the vault. The key policy of the KMS key in the destination account must allow the primary account to use the key to encrypt and decrypt the backups. These steps are described in the AWS documentation12. Therefore, the correct answer is A and E.
:
1: Creating backup copies across AWS accounts - AWS Backup
2: Using AWS Backup with AWS Organizations - AWS Backup
NEW QUESTION # 34
A DevOps team uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to deploy an application.
The application is a REST API that uses AWS Lambda functions and Amazon API Gateway Recent deployments have introduced errors that have affected many customers.
The DevOps team needs a solution that reverts to the most recent stable version of the application when an error is detected. The solution must affect the fewest customers possible.
Which solution Will meet these requirements With the MOST operational efficiency?
- A. Set the deployment configuration in CodeDeploy to LambdaCanaryIOPercentIOMinutes Configure manual rollbacks on the deployment group Create a metric filter on an Amazon CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors. Configure the metric filter to Invoke a new Lambda function that stops the current eployment and starts the most recent successful deployment
- B. Set the deployment configuration in CodeDepIoy to LambdaAlIAtOnce Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold
- C. Set the deployment configuration in CodeDeploy to LambdaAllAtOnce Configure manual rollbacks on the deployment group. Create an Amazon Simple Notification Service (Amazon SNS) topc to send notifications every time a deployrnent fads. Configure the SNS topc to Invoke a new Lambda function that stops the current deployment and starts the most recent successful deployment
- D. Set the deployment configuration in CodeDeploy to LambdaCanary10Percent10Minutes. Configure automatic rollbacks on the deployment group Create an Amazon CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway Configure the deployment group to roll back when the number of alarms meets the alarm threshold
Answer: D
Explanation:
Explanation
Option A is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers.
This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring automatic rollbacks on the deployment group is not operationally efficient, as it requires manual intervention to fix the errors and redeploy the application.
Option B is correct because setting the deployment configuration to LambdaCanary10Percent10Minutes means that the new version of the application will be deployed to 10 percent of the Lambda functions first, and then to the remaining 90 percent after 10 minutes. This minimizes the impact of errors on customers, as only 10 percent of them will be affected by a faulty deployment. Configuring automatic rollbacks on the deployment group also meets the requirement of reverting to the most recent stable version of the application when an error is detected. Creating a CloudWatch alarm that detects HTTP Bad Gateway errors on API Gateway is a valid way to monitor the health of the application and trigger a rollback if needed.
Option C is incorrect because setting the deployment configuration to LambdaAllAtOnce means that the new version of the application will be deployed to all Lambda functions at once, affecting all customers.
This does not meet the requirement of affecting the fewest customers possible. Moreover, configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating an SNS topic to send notifications every time a deployment fails is not sufficient to detect errors in the application, as it does not monitor the API Gateway responses.
Option D is incorrect because configuring manual rollbacks on the deployment group is not operationally efficient, as it requires human intervention to stop the current deployment and start a new one. Creating a metric filter on a CloudWatch log group for API Gateway to monitor HTTP Bad Gateway errors is a valid way to monitor the health of the application, but invoking a new Lambda function to perform a rollback is unnecessary and complex, as CodeDeploy already provides automatic rollback functionality.
References:
AWS CodeDeploy Deployment Configurations
[AWS CodeDeploy Rollbacks]
Amazon CloudWatch Alarms
NEW QUESTION # 35
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 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.
- B. 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.
- C. 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.
- D. 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.
Answer: D
Explanation:
The correct answer is C. Configuring AWS CloudTrail to send log data events to an Amazon CloudWatch Logs log group and creating a CloudWatch logs metric filter to match failed ConsoleLogin events is the simplest and most efficient way to monitor and alert on failed login attempts. Creating a CloudWatch alarm that is based on the metric filter and configuring an alarm action to send messages to the SNS topic will ensure that the security team is notified when multiple failed login attempts occur. This solution requires the least operational effort compared to the other options.
Option A is incorrect because it involves configuring AWS CloudTrail to send log management events instead of log data events. Log management events are used to track changes to CloudTrail configuration, such as creating, updating, or deleting a trail. Log data events are used to track API activity in AWS accounts, such as login attempts. Therefore, option A will not capture the failed ConsoleLogin events.
Option B is incorrect because it involves creating an Amazon Athena query and two Amazon EventBridge rules to monitor and alert on failed login attempts. This is a more complex and costly solution than using CloudWatch logs and alarms. Moreover, option B relies on the query returning a failure, which may not happen if the query is executed successfully but does not find any failed logins.
Option D is incorrect because it involves configuring AWS CloudTrail to send log data events to an Amazon S3 bucket and configuring an Amazon S3 event notification for the s3:ObjectCreated event type. This solution will not work because the s3:ObjectCreated event type does not allow filtering by ConsoleLogin failed events. The event notification will be triggered for any object created in the S3 bucket, regardless of the event type. Therefore, option D will generate a lot of false positives and unnecessary notifications.
:
AWS CloudTrail Log File Examples
Creating CloudWatch Alarms for CloudTrail Events: Examples
Monitoring CloudTrail Log Files with Amazon CloudWatch Logs
NEW QUESTION # 36
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