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AWS-DevOps-Engineer-Professional Exam Flashcards & New AWS-DevOps-Engineer-Professional Exam Pdf

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Achieving the AWS DevOps Engineer certification demonstrates a high level of proficiency in DevOps practices and principles, and validates the skills and expertise needed to design and manage complex AWS applications using DevOps tools and techniques. It is a valuable certification for DevOps professionals who want to advance their careers and demonstrate their expertise in managing AWS applications using DevOps practices.

The AWS Certified DevOps Engineer - Professional certification exam covers a wide range of topics, including continuous delivery and deployment, infrastructure as code, monitoring and logging strategies, security and compliance, and automation and optimization. AWS-DevOps-Engineer-Professional Exam also requires the candidate to have a deep understanding of AWS services like EC2, RDS, S3, and CloudFormation. AWS Certified DevOps Engineer - Professional certification exam is designed to test the candidate's knowledge and skills in designing and implementing DevOps solutions using AWS technologies.

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The AWS Certified DevOps Engineer - Professional certification exam covers a wide range of topics, including AWS services such as EC2, RDS, and S3, DevOps practices such as continuous integration and delivery, infrastructure as code, and monitoring and logging. AWS-DevOps-Engineer-Professional Exam also tests the candidate's ability to troubleshoot, optimize, and secure AWS solutions. A passing score on the exam demonstrates a high level of expertise in DevOps engineering and AWS services, and can lead to career advancement opportunities in the IT industry.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q343-Q348):

NEW QUESTION # 343
A DevOps Engineer uses Docker container technology to build an image-analysis application. The application often sees spikes in traffic. The Engineer must automatically scale the application in response to customer demand while maintaining cost effectiveness and minimizing any impact on availability.
What will allow the FASTEST response to spikes in traffic while fulfilling the other requirements?

A. Create an Amazon ECS cluster using Spot instances. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.
B. Create an Amazon ECS cluster with the container instances in an Auto Scaling group. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.
C. Deploy containers on an AWS Elastic Beanstalk Multicontainer Docker environment. Configure Elastic Beanstalk to automatically scale the environment based on Amazon CloudWatch metrics.
D. Deploy containers on Amazon EC2 instances. Deploy a container scheduler to schedule containers onto EC2 instances. Configure EC2 Auto Scaling for EC2 instances based on available Amazon CloudWatch metrics.

Answer: B

Explanation:
Explanation
https://aws.amazon.com/blogs/compute/automatic-scaling-with-amazon-ecs/

NEW QUESTION # 344
A company is using AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to deploy applications automatically to an Amazon EC2 instance. A DevOps Engineer needs to perform a security assessment scan of the operating system on every application deployment to the environment.
How should this be automated?

A. Use Amazon CloudWatch Events to monitor for AWS CodeDeploy notifications of a successful code deployment and configure CloudWatch Events to trigger an Amazon Inspector scan.
B. Use Amazon CloudWatch Events to monitor for CodePipeline notifications of a successful code deployment and configure CloudWatch Events to trigger an AWS X-Ray scan.
C. Use Amazon CloudWatch Events to monitor for Auto Scaling event notifications of new instances and configure CloudWatch Events to trigger an Amazon Inspector scan.
D. Use Amazon Inspector as a CodePipeline task after the successful use of CodeDeploy to deploy the code to the systems.

Answer: A

NEW QUESTION # 345
You have just recently deployed an application on EC2 instances behind an ELB. After a couple of weeks, customers are complaining on receiving errors from the application. You want to diagnose the errors and are trying to get errors from the ELB access logs. But the ELB access logs are empty. What is the reason for this.

A. Access logging is an optional feature of Elastic Load Balancing that is disabled by default
B. ELB Access logs are only available for a maximum of one week
C. You do not have your CloudWatch metrics correctly configured
D. You do not have the appropriate permissions to access the logs

Answer: A

Explanation:
Clastic Load Balancing provides access logs that capture detailed information about requests sent to your load balancer. Cach log contains information such as the time the request was received, the client's IP address, latencies, request paths, and server responses. You can use these access logs to analyze traffic patterns and to troubleshoot issues. Access logging is an optional feature of Elastic Load Balancing that is disabled by default. After you enable access logging for your load balancer. Clastic Load Balancing captures the logs and stores them in the Amazon S3 bucket that you specify. You can disable access logging at any time.

NEW QUESTION # 346
A new zero-day vulnerability was found in OpenSSL requiring the immediate patching of a production web fleet running on Amazon Linux. Currently, OS updates are performed manually on a monthly basis and deployed using updates to the production Auto Scaling Group's launch configuration.
Which method should a DevOps Engineer use to update packages in-place without downtime?

A. Use Amazon EC2 Run Command to issue a package update command to all running production instances, and update the AMI for future deployments.
B. Define a new AWS OpsWorks layer to match the running production instances, and use a recipe to issue a package update command to all running production instances.
C. Use AWS CodePipline and AWS CodeBuild to generate new copies of these packages, and update the Auto Scaling group's launch configuration.
D. Use AWS Inspector to run "yum upgrade" on all running production instances, and manually update the AMI for the next maintenance window.

Answer: A

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/ec2-run-command-is-now-a-cloudwatch-events-target/
" EC2 Run Command is part of EC2 Systems Manager. It allows you to operate on collections of EC2 instances and on-premises servers reliably and at scale, in a controlled and selective fashion. You can run scripts, install software, collect metrics and log files, manage patches, and much more, on both Windows and Linux."

NEW QUESTION # 347
Your application uses Cloud Formation to orchestrate your application's resources. During your testing phase before the application went live, your Amazon RDS instance type was changed and caused the instance to be re-created, resulting In the loss of test data. How should you prevent this from occurring in the future?

A. Update the stack using ChangeSets
B. Use an AWS CloudFormation stack policy to deny updates to the instance. Only allow UpdateStack permission to 1AM principals that are denied SetStackPolicy.
C. Within the AWS CloudFormation parameter with which users can select the Amazon RDS instance type, set AllowedValues to only contain the current instance type.
D. In the AWS CloudFormation template, set the AWS::RDS::DBInstance's DBInstanceClass property to be read-only.
E. Subscribe to the AWS CloudFormation notification "BeforeResourcellpdate," and call CancelStackUpdate if the resource identified is the Amazon RDS instance.

Answer: A

Explanation:
Explanation
When you need to update a stack, understanding how your changes will affect running resources before you implement them can help you update stacks with confidence. Change sets allow you to preview how proposed changes to a stack might impact your running resources, for example, whether your changes will delete or replace any critical resources, AWS CloudFormation makes the changes to your stack only when you decide to execute the change set, allowing you to decide whether to proceed with your proposed changes or explore other changes by creating another change set For example, you can use a change set to verify that AWS CloudFormation won't replace your stack's database instances during an update.

NEW QUESTION # 348
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