Amazon Web Services nwexams ace Your Dop-c02 Aws Certified Professional Exam by Emaan q53 vce pdf

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Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Code:	DOP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	366 Q&A's	Shared By:	emaan

Question 36

A company is implementing AWS CodePipeline to automate its testing process The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon EventBridge:

Which type of events will match this event pattern?

Options:

Failed deploy and build actions across all the pipelines

All rejected or failed approval actions across all the pipelines

All the events across all pipelines

Approval actions across all the pipelines

Discussion

Question 37

A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:

• A number of instances must be available to serve traffic during the deployment Traffic must be balanced across those instances, and the instances must automatically heal in the event of failure.

• A new fleet of instances must be launched for deploying a new revision automatically, with no manual provisioning.

• Traffic must be rerouted to the new environment to half of the new instances at a time. The deployment should succeed if traffic is rerouted to at least half of the instances; otherwise, it should fail.

• Before routing traffic to the new fleet of instances, the temporary files generated during the deployment process must be deleted.

• At the end of a successful deployment, the original instances in the deployment group must be deleted immediately to reduce costs.

How can a DevOps engineer meet these requirements?

Options:

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option. and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as 50%. and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, an

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto scaling group option, and use CodeDeployDefault.HalfAtAtime as the deployment configuration. Instruct AWSCodeDeploy to terminate the original instances in the deployment group, and use the BeforeAlIowTraffic hook within appspec.yml to delete t

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefaulLAIIatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appspec.yml to delete the temporary fi

Discussion

Answer:

Explanation:

Step 1: Use a Blue/Green Deployment StrategyA blue/green deployment strategy is necessary to meet the requirement of launching a new fleet of instances for each deployment and ensuring availability. In a blue/green deployment, the new version (green environment) is deployed to a separate set of instances, while the old version (blue environment) remains active. After testing the new version, traffic can be gradually shifted.

Action: Use AWS CodeDeploy's blue/green deployment configuration.

Why: Blue/green deployment minimizes downtime and ensures that traffic is shifted only to healthy instances.

[Reference: AWS documentation on Blue/Green Deployment., Step 2: Use an Application Load Balancer and Auto Scaling GroupThe Application Load Balancer (ALB) is essential to balance traffic across multiple instances, and Auto Scaling ensures the deployment scales automatically to meet demand., Action: Associate the Auto Scaling group and Application Load Balancer target group with the deployment group., Why: This configuration ensures that traffic is evenly distributed and that instances automatically scale based on traffic load., Reference: AWS documentation on Deploying with Auto Scaling and Load Balancing., Step 3: Use Custom Deployment ConfigurationThe company requires that traffic be rerouted to at least half of the instances to succeed. AWS CodeDeploy allows you to configure custom deployment settings with specific thresholds for healthy hosts., Action: Create a custom deployment configuration where 50% of the instances must be healthy., Why: This ensures that the deployment continues only if at least 50% of the new instances are healthy., Reference: AWS documentation on Deployment Configurations., Step 4: Clean Temporary Files Using HooksBefore routing traffic to the new environment, the temporary files generated during the deployment must be deleted. This can be achieved using the BeforeAllowTraffic hook in the appspec.yml file., Action: Use the BeforeAllowTraffic lifecycle event hook to clean up temporary files before routing traffic to the new environment., Why: This ensures that the environment is clean before the new instances start serving traffic., Reference: AWS documentation on AppSpec File Hooks., Step 5: Terminate Original Instances After DeploymentAfter a successful deployment, AWS CodeDeploy can automatically terminate the original instances (blue environment) to save costs., Action: Instruct AWS CodeDeploy to terminate the original instances after the new instances are healthy., Why: This helps in cost reduction by removing unused instances after the deployment., Reference: AWS documentation on Terminate Old Instances., This corresponds to Option C: Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.HalfAtATime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files., , ]

Question 38

A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.

The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Create an Amazon Elastic File System (Amazon EFS) file system that has targets in multiple Availability Zones

Create an Amazon FSx for NetApp ONTAP Multi-AZ file system.

Create a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume to use for shared storage.

Update the user data for each application's launch template to mount the file system

Perform an instance refresh on each Auto Scaling group.

Update the EC2 instances for each application to mount the file system when new instances are launched

Discussion

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Question 39

A company is using the AWS Cloud Development Kit (AWS CDK) to develop a microservices-based application. The company needs to create reusable infrastructure components for three environments: development, staging, and production. The components must include networking resources, database resources, and serverless compute resources.

The company must implement a solution that provides consistent infrastructure across environments while offering the option for environment-specific customizations. The solution also must minimize code duplication.

Which solution will meet these requirements with the LEAST development overhead?

Options:

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 1 (L1) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create a single set of deployment stacks that takes the environment name as an argument upon instantiation. Deploy CDK applications for each environment.

Create custom Level 3 (L3) constructs out of Level 2 (L2) constructs where repeatable patterns exist. Create separate deployment stacks for each environment. Use the CDK context command to determine which stacks to run when deploying to each environment.