AWS-DEVOPS WELL PREP, VALID AWS-DEVOPS TEST OBJECTIVES

AWS-DevOps Well Prep, Valid AWS-DevOps Test Objectives

AWS-DevOps Well Prep, Valid AWS-DevOps Test Objectives

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Tags: AWS-DevOps Well Prep, Valid AWS-DevOps Test Objectives, AWS-DevOps Preparation, AWS-DevOps Reliable Test Voucher, Reliable AWS-DevOps Exam Vce

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The AWS-DevOps (AWS Certified DevOps Engineer - Professional (DOP-C01)) Exam is a certification exam that tests an individual's knowledge and skills in implementing and managing DevOps practices on the Amazon Web Services (AWS) platform. It is an advanced-level exam that is designed for experienced DevOps professionals who want to demonstrate their expertise in this area and achieve recognition for their skills.

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Valid AWS-DevOps Test Objectives & AWS-DevOps Preparation

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The AWS-DevOps certification is a valuable credential for IT professionals who want to advance their career in the DevOps field and demonstrate their expertise in using AWS services to design and manage DevOps practices and processes. It is also recognized by employers worldwide as a standard of excellence in the DevOps industry.

Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) exam is designed for experienced IT professionals seeking to validate their skills in managing and implementing DevOps practices on the AWS platform. AWS-DevOps Exam measures the candidate's ability to design, deploy, and manage scalable, highly available, and fault-tolerant systems on AWS using a wide range of AWS services and tools.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q290-Q295):

NEW QUESTION # 290
You need to deploy a new application version to production. Because the deployment is high-risk, you need to roll the new version out to users over a number of hours, to make sure everything is working correctly. You need to be able to control the proportion of users seeing the new version of the application down to the percentage point. You use ELB and EC2 with Auto Scaling Groups and custom AMIs with your code pre-installed assigned to Launch Configurations. There are no data base-level changes during your deployment. You have been told you cannot spend too much money, so you must not increase the number of EC2 instances much at all during the deployment, but you also need to be able to switch back to the original version of code quickly if something goes wrong. What is the best way to meet these requirements?

  • A. Create a second ELB, Auto Scaling Launch Configuration, and Auto Scaling Group using the Launch Configuration. Create AMIs with all code pre-installed. Assign the new AMI to the second Auto Scaling Launch Configuration. Use Route53 Weighted Round Robin Records to adjust the proportion of traffic hitting the two ELBs. S
  • B. Migrate to use AWS Elastic Beanstalk. Use the established and well-tested Rolling Deployment setting AWS provides on the new Application Environment, publishing a zip bundle of the new code and adjusting the wait period to spread the deployment over time. Re-deploy the old code bundle to rollback if needed.
  • C. Use the Blue-Green deployment method to enable the fastest possible rollback if needed. Create a full second stack of instances and cut the DNS over to the new stack of instances, and change the DNS back if a rollback is needed.
  • D. Create AMIs with all code pre-installed. Assign the new AMI to the Auto Scaling Launch Configuration, to replace the old one. Gradually terminate instances running the old code (launched with the old Launch Configuration) and allow the new AMIs to boot to adjust the traffic balance to the new code. On rollback, reverse the process by doing the same thing, but changing the AMI on the Launch Config back to the original code.

Answer: A

Explanation:
Explanation
This is an example of a Blue Green Deployment
You can shift traffic all at once or you can do a weighted distribution. With Amazon Route 53, you can define a percentage of traffic to go to the green environment and gradually update the weights until the green environment carries the full production traffic. A weighted distribution provides the ability to perform canary analysis where a small percentage of production traffic is introduced to a new environment. You can test the new code and monitor for errors, limiting the blast radius if any issues are encountered. It also allows the green environment to scale out to support the full production load if you're using Elastic Load Balancing.

For more information on Blue Green Deployments, please visit the below URL:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf


NEW QUESTION # 291
You currently have an Auto Scaling group with an Elastic Load Balancer and need to phase out all instances
and replace with a new instance type. What are 2 ways in which this can be achieved.

  • A. Attach an additional Auto Scaling configuration behind the ELB and phase in newer instances while
    removing older instances.
  • B. Use OldestLaunchConfiguration to phase out all instances that use the previous configuration. V
  • C. Use Newest In stance to phase out all instances that use the previous configuration.
  • D. Attach an additional ELB to your Auto Scaling configuration and phase in newer instances while
    removing older instances.

Answer: A,B

Explanation:
Explanation
When using the OldestLaunchConfiguration policy Auto Scaling terminates instances that have the oldest
launch configuration. This policy is useful when you're
updating a group and phasing out the instances from a previous configuration.
For more information on Autoscaling instance termination, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-instance-termi
nation.html
Option D is an example of Blue Green Deployments.

A blue group carries the production load while a green group is staged and deployed with the new code. When
if s time to deploy, you simply attach the green group to
the existing load balancer to introduce traffic to the new environment. For HTTP/HTTP'S listeners, the load
balancer favors the green Auto Scaling group because it uses a least outstanding requests routing algorithm
As you scale up the green Auto Scaling group, you can take blue Auto Scaling group instances out of service
by either terminating them or putting them in Standby state.
For more information on Blue Green Deployments, please refer to the below document link: from AWS
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf


NEW QUESTION # 292
Your company is planning to setup a wordpress application. The wordpress application will connect to a MySQL database. Part of the requirement is to ensure that the database environment is fault tolerant and highly available. Which of the following 2 options individually can help fulfil this requirement.

  • A. Create multiple EC2 instances in the same AZ. Host MySQL and enable replication via scripts between the instances.
  • B. Create a MySQL RDS environment and create a Read Replica
  • C. Create a MySQL RDS environment with Multi-AZ feature enabled
  • D. Create multiple EC2 instances in separate AZ's. Host MySQL and enable replication via scripts between the instances.

Answer: C,D

Explanation:
Explanation
One way to ensure high availability and fault tolerant environments is to ensure Instances are located across multiple availability zones. Hence if you are hosting MySQL yourself, ensure you have instances spread across multiple AZ's The AWS Documentation mentions the following about the multi-AZ feature Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments.
Amazon RDS uses several different technologies to provide
failover support. Multi-AZ deployments for Oracle, PostgreSGL, MySQL, and MariaDB DB instances use Amazon's failover technology For more information on AWS Multi-AZ deployments, please visit the below URL:
* http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html


NEW QUESTION # 293
Your application consists of 10% writes and 90% reads. You currently service all requests through a Route53 Alias Record directed towards an AWS ELB, which sits in front of an EC2 Auto Scaling Group. Your system isgetting very expensive when there are large traffic spikes during certain news events, during which many more people request to read similar data all at the same time. What is the simplest and cheapest way to reduce costs and scale with spikes like this?

  • A. Create another ELB and Auto Scaling Group layer mounted on top of the other system, adding a tier to the system. Serve most read requests out of the top layer.
  • B. Create a Memcached cluster in AWS ElastiCache. Create cache logic to serve requests which can be served late from the in-memory cache for increased performance.
  • C. Create an S3 bucket and asynchronously replicate common requests responses into S3 objects. When a request comes in for a precomputed response, redirect to AWS S3.
  • D. Create a CloudFront Distribution and direct Route53 to the Distribution. Use the ELB as an Origin and specify Cache Behaviours to proxy cache requests which can be served late.

Answer: D

Explanation:
Explanation
Use Cloudf rant distribution for distributing the heavy reads for your application. You can create a zone apex record to point to the Cloudfront distribution.
You can control how long your objects stay in a CloudFront cache before CloudFront forwards another request to your origin. Reducing the duration allows you to serve dynamic content. Increasing the duration means your users get better performance because your objects are more likely to be served directly from the edge cache. A longer duration also reduces the load on your origin.
For more information on Cloudfront object expiration, please visit the below URL:
* http://docs.aws.amazon.com/AmazonCloudFrant/latest/DeveloperGuide/Cxpiration.html


NEW QUESTION # 294
You have an application running a specific process that is critical to the application's functionality, and have
added the health check process to your Auto Scaling Group. The instances are showing healthy but the
application itself is not working as it should. What could be the issue with the health check, since it is still
showing the instances as healthy.

  • A. The health check is not checking the application process
  • B. The health check is not configured properly
  • C. It is not possible for a health check to monitor a process that involves the application
  • D. You do not have the time range in the health check properly configured

Answer: A

Explanation:
Explanation
If you have custom health checks, you can send the information from your health checks to Auto Scaling so
that Auto Scaling can use this information. For example, if
you determine that an instance is not functioning as expected, you can set the health status of the instance to
Unhealthy. The next time that Auto Scaling performs a
health check on the instance, it will determine that the instance is unhealthy and then launch a replacement
instance
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 # 295
......

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