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NEW QUESTION 31
You are having a web and worker role infrastructure defined in AWS using Amazon EC2 resources. You are using SQS to manage the jobs being send by the web role. Which of the following is the right way to ensure the worker processes are adequately setup to handle the number of jobs send by the web role

  • A. Use Cloudwatch monitoring to check the size of the queue and then scale out SQS to ensure that it can handle the right number of jobs
  • B. Use ELB to ensure that the load is evenly distributed to the set of web and worker instances
  • C. Use Cloudwatch monitoring to check the size of the queue and then scale out using Autoscaling to ensure that it can handle the right number of jobs
  • D. Use Route53 to ensure that the load is evenly distributed to the set of web and worker instances

Answer: C

Explanation:
Explanation
The below diagram shows how SGS can be used to manage the communication between the Web and worker roles. The number of messages in the SQS queue can be used to determine the number of instances that should be there in the AutoScaling Group.
AWS-DevOps-bd3a58936877440164fb63eadfb4c41a.jpg
For more information on SQS and Autoscaling, please refer to the below U RL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-using-sqs-queue.html

 

NEW QUESTION 32
A DevOps Engineer uses Docker container technology to build an image-analysis application.
The application often sees spikes in traffic. The Engineer must automatically scale the application in response to customer demand while maintaining cost effectiveness and minimizing any impact on availability. What will allow the FASTEST response to spikes in traffic while fulfilling the other requirements?

  • A. Create an Amazon ECS cluster with the container instances in an Auto Scaling group. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.
  • B. Deploy containers on Amazon EC2 instances. Deploy a container scheduler to schedule containers onto EC2 instances. Configure EC2 Auto Scaling for EC2 instances based on available Amazon CloudWatch metrics.
  • C. Create an Amazon ECS cluster using Spot instances. Configure the ECS service to use Service Auto Scaling. Set up Amazon CloudWatch alarms to scale the ECS service and cluster.
  • D. Deploy containers on an AWS Elastic Beanstalk Multicontainer Docker environment. Configure Elastic Beanstalk to automatically scale the environment based on Amazon CloudWatch metrics.

Answer: A

Explanation:
https://aws.amazon.com/blogs/compute/automatic-scaling-with-amazon-ecs/

 

NEW QUESTION 33
A security review has identified that an AWS CodeBuild project is downloading a database population script from an Amazon S3 bucket using an unauthenticated request. The Security team does not allow unauthenticated requests to S3 buckets for this project.
How can this issue be corrected in the MOST secure manner?

  • A. Add the bucket name to the AllowedBuckets section of the CodeBuild project settings. Update the build spec to use the AWS CLI to download the database population script.
  • B. Remove unauthenticated access from the S3 bucket with a bucket policy. Use the AWS CLI to download the database population script using an IAM access key and a secret access key.
  • C. Modify the S3 bucket settings to enable HTTPS basic authentication and specify a token. Update the build spec to use cURL to pass the token and download the database population script.
  • D. Remove unauthenticated access from the S3 bucket with a bucket policy. Modify the service role for the CodeBuild project to include Amazon S3 access. Use the AWS CLI to download the database population script.

Answer: B

 

NEW QUESTION 34
......

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