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Amazon DOP-C02 is an exam that is designed to test the knowledge and skills of individuals seeking to become certified AWS Certified DevOps Engineers - Professionals. AWS Certified DevOps Engineer - Professional certification is awarded by Amazon Web Services (AWS), a cloud computing platform that offers a wide range of services and tools for developing, deploying, and managing applications.
Amazon DOP-C02 Certification Exam is an excellent way for professionals to demonstrate their expertise in DevOps practices and AWS services. By earning this certification, individuals can showcase their skills to potential employers and clients, which can lead to better job opportunities and higher salaries.
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Earning the AWS Certified DevOps Engineer - Professional certification can help individuals advance their careers in the field of DevOps and cloud computing. It demonstrates that they have the knowledge and skills needed to design, deploy, and manage complex applications on AWS using DevOps practices and principles.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q216-Q221):
NEW QUESTION # 216
A company uses an organization in AWS Organizations to manage its AWS accounts. The company ' s automation account contains a CI/CD pipeline that creates and configures new AWS accounts.
The company has a group of internal service teams that provide services to accounts in the organization. The service teams operate out of a set of services accounts. The service teams want to receive an AWS CloudTrail event in their services accounts when the CreateAccount API call creates a new account.
How should the company share this CloudTrail event with the service accounts?
- A. Create a custom Amazon EventBridge event bus in the automation account. Create an EventBridge rule and policy that connects the custom event bus to the default event buses in the services accounts.
- B. Create a custom Amazon EventBridge event bus in the automation account and the services accounts.
Create an EventBridge rule and policy that connects the custom event buses that are in the automation account and the services accounts. - C. Create an Amazon EventBridge rule in the automation account to send account creation events to the default event bus in the services accounts. Update the default event bus in the services accounts to allow events from the automation account.
- D. Create a custom Amazon EventBridge event bus in the services accounts. Update the custom event bus to allow events from the automation account. Create an EventBridge rule in the services account that directly listens to CloudTrail events from the automation account.
Answer: C
Explanation:
Use cross-account EventBridge by configuring a rule in the source (automation) account to send events to the target accounts' default event buses, and grant permissions on the target default event buses to accept events from the source account. This is the standard cross-account event routing model.
NEW QUESTION # 217
A company has configured Amazon RDS storage autoscaling for its RDS DB instances. A DevOps team needs to visualize the autoscaling events on an Amazon CloudWatch dashboard. Which solution will meet this requirement?
- A. Create a trail by using AWS CloudTrail with data events configured. Configure the trail to send the data events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
- B. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events from RDS events.
Create an AWS Lambda function that publishes a CloudWatch custom metric. Configure the EventBridge rule to invoke the Lambda function. Visualize the custom metric by using the CloudWatch dashboard. - C. Create an Amazon EventBridge rule that reacts to RDS storage autoscaling events (rom the RDS events. Create a CloudWatch alarm. Configure the EventBridge rule to change the status of the CloudWatch alarm. Visualize the alarm status by using the CloudWatch dashboard.
- D. Create a trail by using AWS CloudTrail with management events configured. Configure the trail to send the management events to Amazon CloudWatch Logs. Create a metric filter in CloudWatch Logs to match the RDS storage autoscaling events. Visualize the metric filter by using the CloudWatch dashboard.
Answer: B
Explanation:
* Step 1: Reacting to RDS Storage Autoscaling Events Using Amazon EventBridgeAmazon RDS emits events when storage autoscaling occurs. To visualize these events in a CloudWatch dashboard, you can create an EventBridge rule that listens for these specific autoscaling events.
* Action:Create an EventBridge rule that reacts to RDS storage autoscaling events from the RDS event stream.
* Why:EventBridge allows you to listen to RDS events and route them to specific AWS services for processing.
* Step 2: Creating a Custom CloudWatch Metric via LambdaOnce the EventBridge rule detects a storage autoscaling event, you can use a Lambda function to publish a custom metric to CloudWatch.
This metric can then be visualized in a CloudWatch dashboard.
* Action:Use a Lambda function to publish custom metrics to CloudWatch based on the RDS storage autoscaling events.
* Why:Custom metrics allow you to track specific events like autoscaling and visualize them easily on a CloudWatch dashboard.
NEW QUESTION # 218
A company has an organization in AWS Organizations for its multi-account environment. A DevOps engineer is developing an AWS CodeArtifact based strategy for application package management across the organization. Each application team at the company has its own account in the organization. Each application team also has limited access to a centralized shared services account.
Each application team needs full access to download, publish, and grant access to its own packages. Some common library packages that the application teams use must also be shared with the entire organization.
Which combination of steps will meet these requirements with the LEAST administrative overhead? (Select THREE.)
- A. Create a repository in each application team's account. Grant each application team's account lull read access and write access to its own repository.
- B. Create a domain in the shared services account Grant the organization read access and CreateRepository access.
- C. Create a domain in each application team's account. Grant each application team's account lull read access and write access to the application team's domain
- D. Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
- E. Set the other application teams' repositories as upstream repositories.
- F. For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
Answer: B,D,F
Explanation:
* Step 1: Creating a Centralized Domain in the Shared Services Account
To manage application package dependencies across multiple accounts, the most efficient solution is to create a centralized domain in the shared services account. This allows all application teams to access and manage package repositories within the same domain, ensuring consistency and centralization.
Action: Create a domain in the shared services account.
Why: A single, centralized domain reduces the need for redundant management in each application team's account.
Reference:
This corresponds to Option B: Create a domain in the shared services account. Grant the organization read access and CreateRepository access.
* Step 2: Sharing Repositories Across Teams with Upstream Configurations To share common library packages across the organization, each application team's repository can point to the shared services repository as an upstream repository. This enables teams to access shared packages without managing them individually in each team's account.
Action: Create a repository in the shared services account and set it as the upstream repository for each application team.
Why: Upstream repositories allow package sharing while maintaining individual team repositories for managing their own packages.
This corresponds to Option D: Create a repository in the shared services account. Grant the organization read access to the repository in the shared services account. Set the repository as the upstream repository in each application team's repository.
* Step 3: Using Resource-Based Policies for Cross-Account Access
For teams that need to share their packages with other application teams, resource-based policies can be applied to grant the necessary permissions. These policies allow cross-account access without having to manage permissions at the individual account level.
Action: Create resource-based policies that allow read access to the repositories across application teams.
Why: This simplifies management by centralizing permissions in the shared services account while allowing cross-team collaboration.
This corresponds to Option E: For teams that require shared packages, create resource-based policies that allow read access to the repository from other application teams' accounts.
NEW QUESTION # 219
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 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.
- C. 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.
- 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.
Answer: D
Explanation:
https://blog.fourninecloud.com/auto-scaling-lifecycle-hooks-to-export-server-logs-when-instance-terminating-58e06d7c0d6a
NEW QUESTION # 220
A DevOps engineer is building a continuous deployment pipeline for a serverless application that uses AWS Lambda functions. The company wants to reduce the customer impact of an unsuccessful deployment. The company also wants to monitor for issues.
Which deploy stage configuration will meet these requirements?
- A. Use an AWS Serverless Application Model (AWS SAM) template to define the serverless application.
Use AWS CodeDeploy to deploy the Lambda functions with the Canary10Percent15Minutes Deployment Preference Type. Use Amazon CloudWatch alarms to monitor the health of the functions. - B. Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions. Publish a new version of the functions, and include Amazon CloudWatch alarms. Update the production alias to point to the new version. Configure rollbacks to occur when an alarm is in the ALARM state.
- C. Use AWS CloudFormation to publish a new stack update, and include Amazon CloudWatch alarms on all resources. Set up an AWS CodePipeline approval action for a developer to verify and approve the AWS CloudFormation change set.
- D. Use AWS CloudFormation to publish a new version on every stack update, and include Amazon CloudWatch alarms on all resources. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.
Answer: B
Explanation:
Explanation
Use routing configuration on an alias to send a portion of traffic to a second function version. For example, you can reduce the risk of deploying a new version by configuring the alias to send most of the traffic to the existing version, and only a small percentage of traffic to the new version.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-aliases.html The following are the steps involved in the deploy stage configuration that will meet the requirements:
Use AWS CodeBuild to add sample event payloads for testing to the Lambda functions.
Publish a new version of the functions, and include Amazon CloudWatch alarms.
Update the production alias to point to the new version.
Configure rollbacks to occur when an alarm is in the ALARM state.
This configuration will help to reduce the customer impact of an unsuccessful deployment by deploying the new version of the functions to a staging environment first. This will allow the DevOps engineer to test the new version of the functions before deploying it to production.
The configuration will also help to monitor for issues by including Amazon CloudWatch alarms. These alarms will alert the DevOps engineer if there are any problems with the new version of the functions.
NEW QUESTION # 221
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