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DOP-C02 Complete Exam Dumps - Practice DOP-C02 Mock

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Exam is a certification exam that is designed for professionals who want to demonstrate their expertise in DevOps practices and AWS technologies. DOP-C02 Exam is intended for individuals who have a deep understanding of the core principles and practices of DevOps, as well as proficiency in the deployment, management, and operation of AWS services.

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Amazon DOP-C02 Exam is a professional-level certification for those who want to validate their expertise in the field of DevOps. AWS Certified DevOps Engineer - Professional certification is intended for experienced DevOps engineers, developers, and system administrators who want to demonstrate their proficiency in designing, deploying, and managing highly available, scalable, and fault-tolerant systems on the AWS platform. DOP-C02 exam measures the candidate's ability to design and manage continuous delivery systems and methodologies on AWS, implement and manage highly available and scalable systems, and automate operational processes.

The AWS Certified DevOps Engineer – Professional (DOP-C02) is an advanced-level certification offered by Amazon Web Services (AWS). AWS Certified DevOps Engineer - Professional certification is designed for IT professionals who have experience in developing and managing applications on the AWS platform. It is intended to validate the skills and expertise of individuals in implementing, automating, and managing DevOps practices on AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q95-Q100):

NEW QUESTION # 95
A DevOps administrator is configuring a repository to store a company's container images. The administrator needs to configure a lifecycle rule that automatically deletes container images that have a specific tag and that are older than 15 days. Which solution will meet these requirements with the MOST operational efficiency?

A. Create an EC2 Image Builder container recipe. Add a build component to expire the container that has the matching tag after 15 days.
B. Create a repository in AWS CodeArtifact. Add a repository policy to the CodeArtifact repository to expire old assets that have the matching tag after 15 days.
C. Create a bucket in Amazon S3. Add a bucket lifecycle policy to expire old objects that have the matching tag after 15 days.
D. Create a repository in Amazon Elastic Container Registry (Amazon ECR). Add a lifecycle policy to the repository to expire images that have the matching tag after 15 days.

Answer: D

NEW QUESTION # 96
A company recently launched multiple applications that use Application Load Balancers. Application response time often slows down when the applications experience problems A DevOps engineer needs to Implement a monitoring solution that alerts the company when the applications begin to perform slowly The DevOps engineer creates an Amazon Simple Notification Semce (Amazon SNS) topic and subscribe the company's email address to the topic What should the DevOps engineer do next to meet the requirements?

A. Create an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval. Configure the canary to use the SNS topic when the applications return errors.
B. Create an Amazon CloudWatch alarm that uses the AWS/ApplicationELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports Configure the CloudWatch alarm to use the SNS topic
C. Create an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval Configure the Lambda function to publish a notification to the SNS topic when the applications return errors.
D. Create an Amazon CloudWatch alarm that uses the AWS/AppljcabonELB namespace RequestCountPerTarget metric Configure the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports Configure the CloudWatch alarm to use the SNS topic.

Answer: A

Explanation:
* Option A is incorrect because creating an Amazon EventBridge rule that invokes an AWS Lambda function to query the applications on a 5-minute interval is not a valid solution. EventBridge rules can only trigger Lambda functions based on events, not on time intervals. Moreover, querying the applications on a 5-minute interval might incur unnecessary costs and network overhead, and might not detect performance issues in real time.
* Option B is correct because creating an Amazon CloudWatch Synthetics canary that runs a custom script to query the applications on a 5-minute interval is a valid solution. CloudWatch Synthetics canaries are configurable scripts that monitor endpoints and APIs by simulating customer behavior.
Canaries can run as often as once per minute, and can measure the latency and availability of theapplications. Canaries can also send notifications to an Amazon SNS topic when they detect errors or performance issues1.
* Option C is incorrect because creating an Amazon CloudWatch alarm that uses the AWS
/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution. The RequestCountPerTarget metric measures the number of requests completed or connections made per target in a target group2. This metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the number of connections becomes greater than the configured number of threads that the application supports is not a valid way to measure the application performance, as it depends on the application design and implementation.
* Option D is incorrect because creating an Amazon CloudWatch alarm that uses the AWS
/ApplicationELB namespace RequestCountPerTarget metric is not a valid solution, for the same reason as option C. The RequestCountPerTarget metric does not reflect the application response time, which is the requirement. Moreover, configuring the CloudWatch alarm to send a notification when the average response time becomes greater than the longest response time that the application supports is not a valid way to measure the application performance, as it does not account for variability or outliers in the response time distribution.
References:
* 1: Using synthetic monitoring
* 2: Application Load Balancer metrics

NEW QUESTION # 97
A company's development team uses AVMS Cloud Formation to deploy its application resources The team must use for an changes to the environment The team cannot use AWS Management Console or the AWS CLI to make manual changes directly.
The team uses a developer IAM role to access the environment The role is configured with the Admnistratoraccess managed policy. The company has created a new Cloudformationdeployment IAM role that has the following policy.

The company wants ensure that only CloudFormation can use the new role. The development team cannot make any manual changes to the deployed resources.
Which combination of steps meet these requirements? (Select THREE.)

A. Remove the AdministratorAccess policy. Assign the ReadOnIyAccess managed IAM policy to the developer role. Instruct the developers to use the CloudFormationDeployment role as a CloudFormation service role when the developers deploy new stacks.
B. Update the trust of CloudFormationDeployment role to allow the developer IAM role to assume the CloudFormationDepoyment role.
C. Remove me Administratoraccess policy. Assign the ReadOnly/Access managed IAM policy to the developer role Instruct the developers to assume the CloudFormatondeployment role when the developers new stacks
D. Configure the IAM to be to get and pass the CloudFormationDeployment role ifcloudformation actions for resources,
E. Update the trust Of the CloudFormationDepoyment role to anow the cloudformation.amazonaws.com AWS principal to perform the iam:AssumeR01e action
F. Add an IAM policy to CloudFormationDeplyment to allow cloudformation * on an Add a policy that allows the iam.PassR01e action for ARN of if iam PassedT0Service equal cloudformation.amazonaws.com

Answer: A,E,F

Explanation:
A comprehensive and detailed explanation is:
Option A is correct because removing the AdministratorAccess policy and assigning the ReadOnlyAccess managed IAM policy to the developer role is a valid way to prevent the developers from making any manual changes to the deployed resources. The AdministratorAccess policy grants full access to all AWS resources and actions, which is not necessary for the developers. The ReadOnlyAccess policy grants read-only access to most AWS resources and actions, which is sufficient for the developers to view the status of their stacks.
Instructing the developers to use the CloudFormationDeployment role as a CloudFormation service role when they deploy new stacks is also a valid way to ensure that only CloudFormation can use the new role. A CloudFormation service role is an IAM role that allows CloudFormation to make calls to resources in a stack on behalf of the user1. The user can specify a service role when they create or update a stack, and CloudFormation will use that role's credentials for all operations that are performed on that stack1.
Option B is incorrect because updating the trust of CloudFormationDeployment role to allow the developer IAM role to assume the CloudFormationDeployment role is not a valid solution. This would allow the developers to manually assume the CloudFormationDeployment role and perform actions on the deployed resources, which is not what the company wants. The trust of CloudFormationDeployment role should only allow the cloudformation.amazonaws.com AWS principal to assume the role, as in option D.
Option C is incorrect because configuring the IAM user to be able to get and pass the CloudFormationDeployment role if cloudformation actions for resources is not a valid solution. This would allow the developers to manually pass the CloudFormationDeployment role to other services or resources, which is not what the company wants. The IAM user should only be able to pass the CloudFormationDeployment role as a service role when they create or update a stack with CloudFormation, as in option A.
Option D is correct because updating the trust of CloudFormationDeployment role to allow the cloudformation.amazonaws.com AWS principal to perform the iam:AssumeRole action is a valid solution.
This allows CloudFormation to assume the CloudFormationDeployment role and access resources in other services on behalf of the user2. The trust policy of an IAM role defines which entities can assume the role2.
By specifying cloudformation.amazonaws.com as the principal, you grant permission only to CloudFormation to assume this role.
Option E is incorrect because instructing the developers to assume the CloudFormationDeployment role when they deploy new stacks is not a valid solution. This would allow the developers to manually assume the CloudFormationDeployment role and perform actions on the deployed resources, which is not what the company wants. The developers should only use the CloudFormationDeployment role as a service role when they deploy new stacks with CloudFormation, as in option A.
Option F is correct because adding an IAM policy to CloudFormationDeployment that allows cloudformation:
* on all resources and adding a policy that allows the iam:PassRole action for ARN of CloudFormationDeployment if iam:PassedToService equals cloudformation.amazonaws.com are valid solutions. The first policy grants permission for CloudFormationDeployment to perform any action with any resource using cloudformation.amazonaws.com as a service principal3. The second policy grants permission for passing this role only if it is passed by cloudformation.amazonaws.com as a service principal4. This ensures that only CloudFormation can use this role.
References:
1: AWS CloudFormation service roles
2: How to use trust policies with IAM roles
3: AWS::IAM::Policy
4: IAM: Pass an IAM role to a specific AWS service

NEW QUESTION # 98
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 a weighted routing policy that evenly splits traffic between both ALBs. Implement Kubernetes readiness and liveness probes.
B. 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.
C. 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.
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: A

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 # 99
A company's application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.
The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.
Which combination of steps will meet these requirements? (Select TWO.)

A. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.
B. For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.
C. For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.
D. For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.
E. For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

Answer: C,D

Explanation:
Explanation
For the critical data, using a warm pool1 can reduce the scale-out latency by having pre-initialized EC2 instances ready to serve the application traffic. Using On-Demand Instances can ensure that the instances are always available and not interrupted by Spot interruptions2.
For the noncritical data, using a second Auto Scaling group with Spot Instances can reduce the cost and leverage the unused capacity of EC23. Using a launch template with the CloudWatch agent4 can enable the collection of memory utilization metrics, which can be used to scale the group based on the memory demand. Adding the second group as a target group for the ALB and modifying the application to use two target groups can enable routing the traffic based on the data type.
References: 1: Warm pools for Amazon EC2 Auto Scaling 2: Amazon EC2 On-Demand Capacity Reservations 3: Amazon EC2 Spot Instances 4: Metrics collected by the CloudWatch agent

NEW QUESTION # 100
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