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Training Amazon AWS-DevOps Tools - AWS-DevOps Valid Study Materials

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Topics Covered by AWS DOP-C01 Certification Exam

The candidates who want to take the AWS DOP-C01 exam will need to demonstrate that they possess the following skills:

Be effective in managing fault tolerance and disaster recovery.
Ensure management and infrastructure configuration as Code;
Define and manage event response and incident;
Policies and Standards Automation;
Be effective in logging and monitoring;

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q548-Q553):

NEW QUESTION # 548
You need your CI to build AMIs with code pre-installed on the images on every new code push.
You need to do this as cheaply as possible. How do you do this?

A. Have the CI launch a new on-demand EC2 instance when new commits come in, perform all instance configuration and setup, then create an AMI based on the on-demand instance.
B. Bid on spot instances just above the asking price as soon as new commits come in, perform all instance configuration and setup, then create an AMI based on the spot instance.
C. When the CI instance receives commits, attach a new EBS volume to the CI machine. Perform all setup on this EBS volume so you don't need a new EC2 instance to create the AMI.
D. Purchase a Light Utilization Reserved Instance to save money on the continuous integration machine.
Use these credits whenever your create AMIs on instances.

Answer: B

Explanation:
Spot instances are the cheapest option, and you can use minimum run duration if your AMI takes more than a few minutes to create.
Spot instances are also available to run for a predefined duration - in hourly increments up to six hours in length - at a significant discount (30-45%) compared to On-Demand pricing plus an additional 5% during off-peak times1 for a total of up to 50% savings.
https://aws.amazon.com/ec2/spot/pricing/

NEW QUESTION # 549
An Application team is refactoring one of its internal tools to run in AWS instead of on-premises hardware. All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?

A. Developers should use Docker for local development. When dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
B. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk.
C. Developers should use Docker for local development. Use AWS SMS to import these containers as AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
D. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.

Answer: A

NEW QUESTION # 550
What are the benefits when you implement a Blue Green deployment for your infrastructure or application
level changes. Choose 3 answers from the options given below

A. Nearzero-downtime release for new changes
B. Abilityto deploy with higher risk
C. Betterrollback capabilities
D. Goodturnaround time for application deployments

Answer: A,C,D

Explanation:
Explanation
The AWS Documentation mentions the following
Blue/green deployments provide near zero-downtime release and rollback capabilities. The fundamental idea
behind blue/green deployment is to shift traffic between two identical environments that are running different
versions of your application. The blue environment represents the current application version serving
production traffic. In parallel, the green environment is staged running a different version of your application.
After the green environment is ready and tested, production traffic is redirected from blue to green.
For more information on Blue Green deployments please see the below link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

NEW QUESTION # 551
A healthcare company has a critical application running in AWS. Recently, the company experienced some down time. if it happens again, the company needs to be able to recover its application in another AWS Region. The application uses Elastic Load Balancing and Amazon EC2 instances. The company also maintains a custom AMI that contains its application. This AMI is changed frequently.
The workload is required to run in the primary region, unless there is a regional service disruption, in which case traffic should fail over to the new region. Additionally, the cost for the second region needs to be low. The RTO is 2 hours.
Which solution allows the company to fail over to another region in the event of a failure, and also meet the above requirements?

A. Automate the copying of the AMI in the main region to the backup region. Generate an AWS Lambda function that will create an EC2 instance from the AMI and place it behind a load balancer. Using the same Lambda function, point the Amazon Route 53 record to the load balancer in the backup region. Trigger the Lambda function in the event of a failure.
B. Automate the copying of the AMI to the backup region. Create an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Set the Auto Scaling group maximum size to 0 and only increase it with the Lambda function during a failure. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.
C. Maintain a copy of the AMI from the main region in the backup region. Create an Auto Scaling group with one instance using a launch configuration that contains the copied AMI. Use an Amazon Route 53 record to direct traffic to the load balancer in the backup region in the event of failure, as required. Allow the Auto Scaling group to scale out as needed during a failure.
D. Place the AMI in a replicated Amazon S3 bucket. Generate an AWS Lambda function that can create a launch configuration and assign it to an already created Auto Scaling group. Have one instance in this Auto Scaling group ready to accept traffic. Trigger the Lambda function in the event of a failure. Use an Amazon Route 53 record and modify it with the same Lambda function to point to the load balancer in the backup region.

Answer: D

NEW QUESTION # 552
Which Auto Scaling process would be helpful when testing new instances before sending traffic to them, while still keeping them in your Auto Scaling Group?

A. Suspend the process AZ Rebalance
B. Suspend the process Replace Unhealthy
C. Suspend the process AddToLoadBalancer
D. Suspend the process Health Check

Answer: C

Explanation:
Explanation
If you suspend Ad dTo Load Balancer, Auto Scaling launches the instances but does not add them to the load balancer or target group. If you resume the AddTo Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group when they are launched. However, Auto Scaling does not add the instances that were launched while this process was suspended. You must register those instances manually.
Option A is invalid because this just balances the number of CC2 instances in the group across the Availability Zones in the region Option B is invalid because this just checks the health of the instances. Auto Scaling marks an instance as unhealthy if Amazon CC2 or Clastic Load Balancing tells Auto Scaling that the instance is unhealthy.
Option C is invalid because this process just terminates instances that are marked as unhealthy and later creates new instances to replace them.
For more information on process suspension, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resume-processes.html

NEW QUESTION # 553
......

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