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NEW QUESTION 29
You set up a scalable continuous integration platform on AWS.
The platform consists of a master node that can delegate project build jobs to multiple slave nodes, all running on Amazon EC2.
The build output will be stored in Amazon S3.
You always have five slave nodes deployed. Each slave node can handle 10 build jobs simultaneously.
Your master node publishes a custom Amazon CloudWatch metric with the name
"RunningBuildiobs" that Slows you to programmatically track how many build jobs are running across your platform.
Which two configuration options will allow you to flexibly scale your platform to support more than
50 simultaneous build jobs while minimizing costs? Choose 2 answers

  • A. Configure a CloudWatch alarm that sends an alert when "RunningBuildJobs" is greater than 45 for more than five minutes.
    Use Amazon Simple Queue Service to process additional build jobs when the CloudWatch alarm is triggered.
  • B. Place your fleet of slave nodes in an Auto Scaling group.
    Configure a CloudWatch alarm that triggers an Auto Scaling policy to launch Amazon EC2 Instances when "RunningBuildJobs" is greater than 45 for more than five minutes.
  • C. Configure your fleet of slave nodes to fully utilize all of your purchased Amazon EC2 Heavy Utilization Reserved Instances.
    Configure a CloudWatch alarm that launches new Amazon EC2 instances when
    "RunningBuildJobs" is less than 40 for more than five minutes.
  • D. Run your fleet of slave nodes in an Auto Scaling group.
    Configure a Cloudwatch alarm that launches new Amazon EC2 Dedicated Instances when
    "RunningBuildJobs" is less than 40 for more than five minutes.
  • E. Place your fleet of slave nodes in an Auto Scaling group.
    Configure a CloudWatch alarm that triggers an Auto Scaling policy to terminate Amazon EC2 instances when "RunningBuildJobs" is less than 40 for more than five minutes.

Answer: B,E

 

NEW QUESTION 30
You need to implement Blue/Green Deployment for several multi-tier web applications. Each of them has Its
Individual infrastructure:
Amazon Elastic Compute Cloud (EC2) front-end servers, Amazon ElastiCache clusters, Amazon Simple
Queue Service
(SQS) queues, and Amazon Relational Database (RDS) Instances.
Which combination of services would give you the ability to control traffic between different deployed
versions of your application?

  • A. Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources
    (in the same template) for each web application. New versions would be deployed updating a parameter
    on the CloudFormation template and passing it to the cfn-hup helper daemon, and traffic would be
    balanced between them using Weighted Round Robin (WRR) records in Amazon Route 53.
  • B. Create one AWS Elastic Beanstalk application and all AWS resources (using configuration files inside
    the application source bundle) for each web application. New versions would be deployed using Elastic
    Beanstalk environments and using the Swap URLs feature.
  • C. Create one Elastic Beanstalk application and all AWS resources (using configuration files inside the
    application source bundle) for each web application. New versions would be deployed updating the
    Elastic Beanstalk application version for the current Elastic Beanstalk environment.
  • D. Using AWS CloudFormation templates, create one Elastic Beanstalk application and all AWS resources
    (in the same template) for each web application. New versions would be deployed using AWS
    CloudFormation templates to create new Elastic Beanstalk environments, and traffic would be balanced
    between them using weighted Round Robin (WRR) records in Amazon Route 53. >/

Answer: D

Explanation:
Explanation
This an example of Blue green deployment
DOP-C01-f71d1350c19ca095842df2e39673847b.jpg
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.
When if s time to promote the green environment/stack into production, update DNS records to point to the
green environment/stack's load balancer. You can also
do this DNS flip gradually by using the Amazon Route 53 weighted routing policy.
For more information on Blue green deployment, please refer to the link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf

 

NEW QUESTION 31
Your application uses Amazon SQS and Auto Scaling to process background jobs. The Auto Scaling policy is based on the number of messages in the queue, with a maximum instance count of 100. Since the application was launched, the group has never scaled above 50. The Auto scaling group has now scaled to 100, the queue size is increasing and very few jobs are being completed. The number of messages being sent to the queue is at normal levels. What should you do to identity why the queue size is unusually high and to reduce it?

  • A. Temporarily increase the AutoScaling group's desired value to 200. When the queue size has been reduced,reduce it to 50.
  • B. AnalyzeCloudTrail logs for Amazon SQS to ensure that the instances Amazon EC2 role haspermission to receive messages from the queue.
  • C. Analyzethe application logs to identify possible reasons for message processingfailure and resolve the cause for failures. V
  • D. Createadditional Auto Scalinggroups enabling the processing of the queue to beperformed in parallel.

Answer: C

Explanation:
Explanation
Here the best option is to look at the application logs and resolve the failure. You could be having a functionality issue in the application that is causing the messages to queue up and increase the fleet of instances in the Autoscaling group.
For more information on centralized logging system implementation in AWS, please visit this link:
https://aws.amazon.com/answers/logging/centralized-logging/

 

NEW QUESTION 32
......

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