FRESH AWS-DEVOPS DUMPS | AWS-DEVOPS TEST PATTERN

Fresh AWS-DevOps Dumps | AWS-DevOps Test Pattern

Fresh AWS-DevOps Dumps | AWS-DevOps Test Pattern

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You can change the difficulty of these questions, which will help you determine what areas appertain to more study before taking your Amazon AWS-DevOps Exam Dumps. Here we listed some of the most important benefits you can get from using our Amazon AWS-DevOps practice questions.

Amazon AWS-DevOps-Engineer-Professional Exam is designed for IT professionals who want to demonstrate their expertise in deploying, operating, and managing applications on the AWS platform using DevOps principles and practices. AWS Certified DevOps Engineer - Professional certification exam validates a candidate's technical skills and knowledge of AWS services, DevOps methodologies, and automation tools. It is an advanced-level exam that requires candidates to have hands-on experience in designing, deploying, and maintaining AWS-based applications and infrastructure.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q259-Q264):

NEW QUESTION # 259
You are in charge of a large-scale highly available multi-tier web application infrastructure.
This architecture consists of Amazon Route53 with a load balancer and multiple Amazon EC2 instances.
You have been tasked to come up with a process to provide Blue/Green style deployments.
Which technique should you use to deliver this new requirement?

  • A. Re-deploy your application behind a load balancer using Auto Scaling groups, create a new identical Auto Scaling group, and associate it to the load balancer.
    During deployment, create a new Amazon Route53 hosted zone, add this new load balancer to the zone in an alias resource record set, and then remove your old Auto Scaling group.
  • B. Re-deploy your application behind a load balancer using an AWS CloudFormation template, launch a new AWS CloudFormation stack during each deployment, update your Amazon Route53 alias resource record set to point to the new load balancer, and finally, terminate your old AWS CloudFormation stack.
  • C. Using Elastic Beanstalk re-deploy your application and configure Elastic Beanstalk Deployment types, and then use Amazon Route53's alias resource record set to swap between Elastic Beanstalk deployment types.
  • D. Re-deploy your application behind a load balancer using an OpsWorks stack, and use AWS OpsWorks stack versioning.
    During deployment, create a new version of your application, tell OpsWorks to launch the new version behind your load balancer, and when the new version launches, update your Amazon Route53 alias resource retort to point to the new load balancer.

Answer: B


NEW QUESTION # 260
Your application's Auto Scaling Group scales up too quickly, too much, and stays scaled when traffic decreases. What should you do to fix this?

  • A. Calculate the bottleneck or constraint on the compute layer, then select that as the new metric, and set the metric thresholds to the bounding values that begin to affect response latency.
  • B. Set a longer cooldown period on the Group, so the system stops overshooting the target capacity. The issue is that the scaling system doesn't allow enough time for new instances to begin servicing requests before measuring aggregate load again.
  • C. Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes more of an increase in demand before beginning.
  • D. Use larger instances instead of lots of smaller ones, so the Group stops scaling out so much and wasting resources as the OS level, since the OS uses a higher proportion of resources on smaller instances.

Answer: A

Explanation:
Explanation
The ideal case is that the right metric is not being used for the scale up and down.
Option A is not valid because it mentions that the cooldown is not happening when the traffic decreases, that means the metric threshold for the scale down is not occurring in Cloudwatch Option C is not valid because increasing the Cloudwatch alarm metric will not ensure that the instances scale down when the traffic decreases.
Option D is not valid because the question does not mention any constraints that points to the instance size.
For an example on using custom metrics for scaling in and out, please follow the below link for a use case.
* https://blog.powerupcloud.com/aws-autoscaling-based-on-database-query-custom-metrics-f396c16e5e6a


NEW QUESTION # 261
When thinking of AWS Elastic Beanstalk's model, which is true?

  • A. Environments have many applications, applications have many deployments.
  • B. Applications have many environments, environments have many deployments.
  • C. Deployments have many environments, environments have many applications.
  • D. Applications have many deployments, deployments have many environments.

Answer: B

Explanation:
Explanation
The first step in using Elastic Beanstalk is to create an application, which represents your web application in
AWS. In Elastic Beanstalk an application serves as a
container for the environments that run your web app, and versions of your web app's source code, saved
configurations, logs and other artifacts that you create
while using Elastic Beanstalk.
For more information on Applications, please refer to the below link:
* http://docs.aws.a
mazon.com/elasticbeanstalk/latest/dg/appl ications.html
Deploying a new version of your application to an environment is typically a fairly quick process. The new
source bundle is deployed to an instance and extracted, and then the web container or application server picks
up the new version and restarts if necessary. During deployment, your application might still become
unavailable to users for a few seconds. You can prevent this by configuring your environment to use rolling
deployments to deploy the new version to instances in batches. For more information on deployment, please
refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-featu
res.de ploy-existing- version, html


NEW QUESTION # 262
During metric analysis, your team has determined that the company's website during peak hours is experiencing response times higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? Choose 2 answers.

  • A. IncreaseyourAutoScalinggroup'snumberofmaxservers.
  • B. Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
  • C. Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have betterfine-grain insight.
  • D. Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.

Answer: A,D

Explanation:
Option B makes sense because maybe the max servers is low hence the application cannot handle the peak load.
Option D helps in ensuring Autoscaling can scale the group on the right metrics.
For more information on Autoscaling health checks, please refer to the below document link: from AWS
http://docs.aws.a mazon.com/autoscaling/latest/userguide/healthcheck.html


NEW QUESTION # 263
You set up a web application development environment by using a third party configuration management tool to create a Docker container that is run on local developer machines.
What should you do to ensure that the web application and supporting network storage and security infrastructure does not impact your application after you deploy into AWS for staging and production environments?

  • A. Writea script using the AWS SDK or CLI to deploy the application code from versioncontrol to the local development environments staging and production usingAWSOpsWorks.
  • B. Definean AWS CloudFormation template for each stage of the application deploymentlifecycle
    -development, staging and production -and have tagging in eachtemplate to define the environment.
  • C. Definean AWS CloudFormation template to place your infrastructure into versioncontrol and use the same template to deploy the Docker container into ElasticBeanstalk for staging and production.
  • D. Becausethe application is inside a Docker container, there are no infrastructuredifferences to be taken into account when moving from the local developmentenvironments to AWS for staging and production.

Answer: C

Explanation:
Explanation
Clastic Beanstalk supports the deployment of web applications from Docker containers. With Docker containers, you can define your own runtime environment. You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms. Docker containers are self-contained and include all the configuration information and software your web application requires to run.
By using Docker with Elastic Beanstalk, you have an infrastructure that automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.
This seems to be more appropriate than Option D.
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html
For more information on Cloudformation best practises, please visit the link:
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.html


NEW QUESTION # 264
......

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