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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q475-Q480):
NEW QUESTION # 475
A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic. What option requires the LEAST amount of management overhead to meet these requirements?
- A. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.
- B. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.
- C. Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.
- D. Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.
Answer: A
Explanation:
Rolling with batches keep 100% up yoiu need 50%. With rolling deployments, Elastic Beanstalk splits the environment's EC2 instances into batches and deploys the new version of the application to one batch at a time, leaving the rest of the instances in the environment running the old version of the application. https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.rolling-version-deploy.html
NEW QUESTION # 476
A company is adopting AWS CodeDeploy to automate its application deployments for a Java-Apache Tomcat application with an Apache webserver. The Development team started with a proof of concept, created a deployment group for a developer environment, and performed functional tests within the application. After completion, the team will create additional deployment groups for staging and production The current log level is configured within the Apache settings, but the team wants to change this configuration dynamically when the deployment occurs, so that they can set different log level configurations depending on the deployment group without having a different application revision for each group.
How can these requirements be met with the LEAST management overhead and without requiring different script versions for each deployment group?
- A. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_NAME to identify which deployment group the instances is part of. Use this information to configure the log level settings. Reference this script as part of the Beforelnstall lifecycle hook in the appspec.yml file
- B. Create a CodeDeploy custom environment variable for each environment. Then place a script into the application revision that checks this environment variable to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference this script as part of the ValidateService lifecycle hook in the appspec.yml file.
- C. Create a script that uses the CodeDeploy environment variable DEPLOYMENT_GROUP_ID to identify which deployment group the instance is part of to configure the log level settings. Reference this script as part of the Install lifecycle hook in the appspec.yml file.
- D. Tag the Amazon EC2 instances depending on the deployment group. Then place a script into the application revision that calls the metadata service and the EC2 API to identify which deployment group the instance is part of. Use this information to configure the log level settings. Reference the script as part of the AfterInstall lifecycle hook in the appspec.yml file.
Answer: B
NEW QUESTION # 477
To run an application, a DevOps Engineer launches an Amazon EC2 instances with public IP addresses in a public subnet. A user data script obtains the application artifacts and installs them on the instances upon launch. A change to the security classification of the application now requires the instances to run with no access to the Internet. While the instances launch successfully and show as healthy, the application does not seem to be installed.
Which of the following should successfully install the application while complying with the new rule?
- A. Set up a NAT gateway. Deploy the EC2 instances to a private subnet. Update the private subnet's route table to use the NAT gateway as the default route.
- B. Publish the application artifacts to an Amazon S3 bucket and create a VPC endpoint for S3.
Assign an IAM instance profile to the EC2 instances so they can read the application artifacts from the S3 bucket. - C. Launch the instances in a public subnet with Elastic IP addresses attached. Once the application is installed and running, run a script to disassociate the Elastic IP addresses afterwards.
- D. Create a security group for the application instances and whitelist only outbound traffic to the artifact repository. Remove the security group rule once the install is complete.
Answer: B
Explanation:
EC2 instances running in private subnets of a VPC can now have controlled access to S3 buckets, objects, and API functions that are in the same region as the VPC. You can use an S3 bucket policy to indicate which VPCs and which VPC Endpoints have access to your S3 buckets
https://aws.amazon.com/pt/blogs/aws/new-vpc-endpoint-for-amazon-s3/
NEW QUESTION # 478
A DevOps Engineer is leading the implementation for automating patching of Windows-based workstations in a hybrid cloud environment by using AWS Systems Manager (SSM).
What steps should the Engineer follow to set up Systems Manager to automate patching in this environment? (Select TWO.)
- A. Create multiple IAM service roles for Systems Manager so that the ssm amazonaws.com service can execute the AssumeRole operation on every instance. Register the role on a per-resource level to enable the creation of a service token. Perform managed-instance activation with the newly created service role attached to each managed instance.
- B. Run AWS Config to create a list of instances that are unpatched and not compliant. Create an instance scheduler job, and through an AWS Lambda function, perform the instance patching to bring them up to compliance.
- C. Using previously obtained activation codes and activation IDs, download and install the SSM Agent on the hybrid servers, and register the servers or virtual machines on the Systems Manager service.
Hybrid instances will show with an "i-" prefix in the SSM console as if they were provisioned as a regular Amazon EC2 instance. - D. Create an IAM service role for Systems Manager so that the ssm amazonaws.com service can execute the AssumeRole operation. Register the role to enable the creation of a service token. Perform managed-instance activation with the newly created service role.
- E. Using previously obtained activation codes and activation IDs, download and install the SSM Agent on the hybrid servers, and register the servers or virtual machines on the Systems Manager service.
Hybrid instances will show with an "mi-" prefix in the SSM console.
Answer: B,D
NEW QUESTION # 479
You are using CloudFormation to launch an EC2 instance and then configure an application after the instance
is launched. You need the stack creation of the ELB and Auto Scaling to wait until the EC2 instance is
launched and configured properly. How do you do this?
- A. It is not possible for the stack creation to wait until one service is created and launched
- B. Use the HoldCondition resource to hold the creation of the other dependent resources
- C. Use the WaitCondition resource to hold the creation of the other dependent resources
- D. Use a CreationPolicy to wait for the creation of the other dependent resources >/
Answer: D
Explanation:
Explanation
When you provision an Amazon EC2 instance in an AWS Cloud Formation stack, you might specify
additional actions to configure the instance, such as install
software packages or bootstrap applications. Normally, CloudFormation proceeds with stack creation after the
instance has been successfully created. However,
you can use a Creation Pol icy so that CloudFormation proceeds with stack creation only after your
configuration actions are done. That way you'll know your
applications are ready to go after stack creation succeeds.
A Creation Policy instructs CloudFormation to wait on an instance until CloudFormation receives the
specified number of signals
Option A is invalid because this is possible
Option B is invalid because this is used make AWS CloudFormation pause the creation of a stack and wait for
a signal before it continues to create the stack
For more information on this, please visit the below URL:
* https://aws.amazon.com/blogs/devops/use-a-creationpolicy-to-wait-for-on-instance-configurations/
NEW QUESTION # 480
......
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