100% PASS AWS-DEVOPS - AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL–TRUSTABLE VALID TEST MATERIALS

100% Pass AWS-DevOps - AWS Certified DevOps Engineer - Professional–Trustable Valid Test Materials

100% Pass AWS-DevOps - AWS Certified DevOps Engineer - Professional–Trustable Valid Test Materials

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Tags: Valid AWS-DevOps Test Materials, AWS-DevOps Latest Exam Guide, Reliable AWS-DevOps Exam Simulations, Pass AWS-DevOps Guaranteed, AWS-DevOps Test Passing Score

When you choose AWS-DevOps valid study pdf, you will get a chance to participate in the simulated exam before you take your actual test. The contents of AWS-DevOps exam torrent are compiled by our experts through several times of verification and confirmation. So the AWS-DevOps questions & answers are valid and reliable to use. You can find all the key points in the AWS-DevOps practice torrent. Besides, the AWS-DevOps test engine training equipped with various self-assessment functions like exam history, result scores and time setting, etc.

Amazon AWS-DevOps-Engineer-Professional Certification Exam is a professional-level certification designed for individuals with extensive experience in DevOps practices and Amazon Web Services (AWS). AWS Certified DevOps Engineer - Professional certification exam validates the knowledge and skills required to manage and deploy applications on AWS using DevOps practices. AWS Certified DevOps Engineer - Professional certification exam is also designed to test the candidate's ability to automate the deployment and scaling of applications on AWS.

>> Valid AWS-DevOps Test Materials <<

AWS-DevOps Latest Exam Guide - Reliable AWS-DevOps Exam Simulations

You should also keep in mind that to get success in the Amazon AWS-DevOps exam is not an easy task. The Amazon AWS-DevOps certification exam always gives a tough time to their candidates. So you have to plan well and prepare yourself as per the recommended AWS-DevOps Exam study material.

The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is designed for individuals who are responsible for managing and implementing DevOps practices and processes within an organization. AWS Certified DevOps Engineer - Professional certification validates the candidate's ability to design, deploy, and automate highly available, scalable, and fault-tolerant systems on the Amazon Web Services (AWS) platform.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q523-Q528):

NEW QUESTION # 523
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. 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.
  • B. 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.
  • C. IncreaseyourAutoScalinggroup'snumberofmaxservers.
  • D. 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.

Answer: B,C

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 # 524
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 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.
  • B. 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.
  • C. 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 BeforeInstall lifecycle hook in the appspec.yml file
  • D. 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.

Answer: A

Explanation:
Explanation


NEW QUESTION # 525
A company runs a database on a single Amazon EC2 instance in a development environment.
The data is stored on separate Amazon EBS volumes that are attached to the EC2 instance. An Amazon Route 53 A record has been created and configured to point to the EC2 instance. The company would like to automate the recovery of the database instance when an instance or Availability Zone (AZ) fails. The company also wants to keep its costs low. The RTO is 4 hours and RPO is 12 hours. Which solution should a DevOps Engineer implement to meet these requirements?

  • A. Run the database on two separate EC2 instances in different AZs with one active and the other as a standby. Attach the data volumes to the active instance. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function on EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, then the function attaches the data volumes to the standby node. Start the database and update the Route 53 record.
  • B. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Create an AWS Lambda function that is triggered by a scheduled Amazon CloudWatch Events rule every 4 hours to take a snapshot of the data volume and apply a tag.
    Have the instance UserData get the latest snapshot, create a new volume from it, and attach and mount the volume. Then start the database and update the Route 53 record.
  • C. Run the database on two separate EC2 instances in different AZs. Configure one of the instances as a master and the other as a standby. Set up replication between the master and standby instances. Point the Route 53 record to the master. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function upon the EC2 instance termination. The Lambda function launches a replacement EC2 instance. If the terminated instance was the active node, the function promotes the standby to master and points the Route 53 record to it.
  • D. Run the database in an Auto Scaling group with a minimum and maximum instance count of 1 in multiple AZs. Add a lifecycle hook to the Auto Scaling group and define an Amazon CloudWatch Events rule that is triggered when a lifecycle event occurs. Have the CloudWatch Events rule invoke an AWS Lambda function to detach or attach the Amazon EBS data volumes from the EC2 instance based on the event. Configure the EC2 instance UserData to mount the data volumes (retry on failure with a short delay), then start the database and update the Route 53 record.

Answer: C


NEW QUESTION # 526
Which of the following is not a rolling type update which is present for Configuration Updates when it comes to the Elastic Beanstalk service

  • A. Immutable
  • B. Rolling based on Health
  • C. Rolling based on Instances
  • D. Rolling based on time

Answer: C

Explanation:
Explanation
When you go to the configuration of your Elastic Beanstalk environment, below are the updates that are possible.

The AWS Documentation mentions
1) With health-based rolling updates. Elastic Beanstalk waits until instances in a batch pass health checks before moving on to the next batch.
2) For time-based rolling updates, you can configure the amount of time that Elastic Beanstalk waits after completing the launch of a batch of instances before moving on to the next batch. This pause time allows your application to bootsrap and start serving requests.
3) Immutable environment updates are an alternative to rolling updates that ensure that configuration changes that require replacing instances are applied efficiently and safely. If an immutable environment update fails, the rollback process requires only terminating an Auto Scalinggroup. A failed rolling update, on the other hand, requires performing an additional rolling update to roll back the changes.
For more information on Rolling updates for Elastic beanstalk configuration updates, please visit the below URL:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.ro11ingupdates.html


NEW QUESTION # 527
A development team is using AWS CodeCommit to version control application code and AWS CodePipeline to orchestrate software deployments. The team has decided to use a remote master branch as the trigger (or the pipeline to integrate code changes. A developer has pushed code changes to the CodeCommit repository, but noticed that the pipeline had no reaction, even after 10 minutes.
Which of the following actions should be taken to troubleshoot this issue?

  • A. Check that the CodePipeline service role has permission to access the CodeCommit repository.
  • B. Check that an Amazon CloudWatch Events rule has been created for the master branch to trigger the pipeline.
  • C. Check that the developer's IAM role has permission to push to the CodeCommit repository.
  • D. Check to see if the pipeline failed to start because of CodeCommit errors in Amazon CloudWatch Logs.

Answer: C


NEW QUESTION # 528
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