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AWS-DevOps Test Questions Pdf & Real AWS-DevOps Exam Answers
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The AWS-DevOps-Engineer-Professional certification exam is a challenging but rewarding certification that is designed for professionals who want to demonstrate their expertise in DevOps practices and AWS services. By passing this certification exam, professionals can enhance their career prospects and open up new opportunities in the field of DevOps.
One of the key areas covered in the Amazon DOP-C01 certification exam is the ability to design and implement automated, continuous delivery pipelines. This involves the use of AWS tools such as AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to build, test, and deploy applications in a seamless and efficient manner. Candidates for this certification must also have a solid understanding of infrastructure as code and be able to use tools such as AWS CloudFormation to automate the deployment of infrastructure resources.
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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q373-Q378):
NEW QUESTION # 373
A company wants to use a grid system for a proprietary enterprise in-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes, an / etc./cluster/nodes.config file must be updated, listing the IP addresses of the current node members of that cluster The company wants to automate the task of adding new nodes to a cluster.
What can a DevOps Engineer do to meet these requirements?
- A. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/nodes.config file whenever a new instance is added to the cluster
- B. Put the file nodes.config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for the cluster nodes. When adding a new node to the cluster, update the file with all tagged instances, and make a commit in version control. Deploy the new file and restart the services.
- C. Create an Amazon S3 bucket and upload a version of the etc/cluster/nodes.config file. Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager, such as Monit or systemd, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster, edit the file's most recent members. Upload the new file to the S3 bucket.
- D. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the /etc/cluster/nodes.config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.
Answer: B
NEW QUESTION # 374
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 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%.
- B. 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%.
- C. 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.
- 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: D
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 # 375
One of the instances in your Auto Scaling group health check returns the status of Impaired to Auto Scaling.
What will Auto Scaling do in this case.
- A. Perform a health check until cool down before declaring that the instance has failed
- B. Wait for the instance to become healthy before sending traffic
- C. Send an SNS notification
- D. Terminate the instance and launch a new instance
Answer: D
Explanation:
Explanation
Auto Scaling periodically performs health checks on the instances in your Auto Scaling group and identifies any instances that are unhealthy. You can configure Auto Scaling to determine the health status of an instance using Amazon EC2 status checks. Clastic Load Balancing health checks, or custom health checks By default. Auto Scaling health checks use the results of the CC2 status checks to determine the health status of an instance. Auto Scaling marks an instance as unhealthy if its instance fails one or more of the status checks.
For more information monitoring in Autoscaling, please visit the below URL:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-mon itoring-features.html
NEW QUESTION # 376
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts. The buildspec.yml file contains the following: The DevOps Engineer has noticed that anybody with an AWS account is able to download the artifacts. What steps should the DevOps Engineer take to stop this?
- A. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
- B. Modify the post_build to command to use ""-acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
- C. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*"
- D. Modify the post_build command to remove ""-acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
Answer: D
NEW QUESTION # 377
Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an AccessDenied error is received.
What are the possible causes for this error? (Choose three.)
- A. The S3 bucket default encryption is enabled.
- B. S3 versioning is enabled.
- C. The object has been moved to Amazon Glacier.
- D. There is an error in the IAM role configuration.
- E. There is an error in the VPC endpoint policy.
- F. There is an error in the S3 bucket policy.
Answer: D,E,F
Explanation:
Explanation/Reference: https://aws.amazon.com/premiumsupport/knowledge-center/s3-403-upload-bucket/
NEW QUESTION # 378
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