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NEW QUESTION 32
Your company operates a website for promoters to sell tickets for entertainment events. You are using a load balancer in front of an Auto Scaling group of web servers. Promotion of popular events can cause surges of website visitors.
During scaling-out at these times, newly launched instances are unable to complete configuration quickly enough, leading to user disappointment. What options should you choose to improve scaling yet minimize costs? (Choose two.)

• A. Create an AMI with the application pre-configured. Create a new Auto Scaling launch configuration using this new AMI, and configure the Auto Scaling group to launch with this AMI.
• B. Use Auto Scaling pre-warming to launch instances before they are required. Configure pre-warming to use the CPU trend CloudWatch metric for the group.
• C. Configure an Amazon S3 bucket for website hosting. Upload into the bucket an HTML holding page with its x-amz-website-redirect-location' metadata property set to the load balancer endpoint. Configure Elastic Load Balancing to redirect to the holding page when the load on web servers is above a certain level.
• D. Use the history of past scaling events for similar event sales to predict future scaling requirements. Use the Auto Scaling scheduled scaling feature to vary the size of the fleet.
• E. Publish a custom CloudWatch memo from your application on the number of tickets sold, and create an Auto Scaling policy based on this.

Answer: A,D

NEW QUESTION 33
You are a DevOps engineer for a company. You have been requested to create a rolling deployment solution that is cost-effective with minimal downtime. How should you achieve this? Choose two answers from the options below

• A. After each stack is deployed, tear down the old stack
• B. Re-deploy with a CloudFormation template, define update policies on Auto Scalinggroups in your CloudFormation template
• C. Use UpdatePolicy attribute to specify how CloudFormation handles updates to Auto Scaling Group resource.
• D. Re-deploy your application using a CloudFormation template to deploy Elastic Beanstalk

Answer: B,C

Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to define how an Auto Scalinggroup resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scalinggroup and replaces old instances with new ones, according to the parameters specified.
Option A is invalid because it is not efficient to use Cloudformation to use Clastic Beanstalk.
Option D is invalid because this is an inefficient process to tear down stacks when there are stack policies available For more information on Autoscaling Rolling Updates please refer to the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION 34
A company using AWS CodeCommit for source control wants to automate its continuous integration and continuous deployment pipeline on AWS in its development environment. The company has three requirements: 1. There must be a legal and a security review of any code change to make sure sensitive information is not leaked through the source code. 2. Every change must go through unit testing. 3. Every change must go through a suite of functional testing to ensure functionality. In addition, the company has the following requirements for automation: 1. Code changes should automatically trigger the CI/CD pipellline. 2. Any failure in the pipeline should notify devops-admin@xyz.com. 3. There must be an approval to stage the assets to Amazon S3 after tests have been performed. What should a DevOps Engineer do to meet all of these requirements while following CI/CD best practices?

• A. Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SNS for emailing devops- admin@xyz.com.
• B. Commit to the development branch and trigger AWS CodePipeline from the development branch. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch metrics to detect changes in pipeline stages and Amazon SES for emailing devops- admin@xyz.com.
• C. Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use Amazon CloudWatch Events to detect changes in pipeline stages and Amazon SES for emailing devops-admin@xyz.com.
• D. Commit to mainline and trigger AWS CodePipeline from mainline. Make an individual stage in CodePipeline for security review, unit tests, functional tests, and manual approval. Use AWS CloudTrail logs to detect changes in pipeline stages and Amazon SNS for emailing devops-admin@xyz.com.

Answer: A

NEW QUESTION 35
A company wants to use Amazon ECS to provide a Docker container runtime environment. For compliance reasons, all Amazon EBS volumes used in the ECS cluster must be encrypted.
Rolling updates will be made to the cluster instances and the company wants the instances drained of all tasks before being terminated.
How can these requirements be met? (Select TWO.)

• A. Use AWS CodePipeline to build a pipeline that discovers the latest Amazon-provided ECS AMI, then copies the image to an encrypted AMI outputting the encrypted AMI ID. Use the encrypted AMI ID when deploying the cluster.
• B. Create an IAM role that allows the action ECS::EncryptedImage. Configure the AWS CLI and a profile to use this role. Start the cluster using the AWS CLI providing the --use-encrypted-image and --kms-key arguments to the create-cluster ECS command.
• C. Create an Auto Scaling lifecycle hook backed by an AWS Lambda function that uses the AWS SDK to mark a terminating instance as DRAINING. Prevent the lifecycle hook from completing until the running tasks on the instance are zero.
• D. Copy the default AWS CloudFormation template that ECS uses to deploy cluster instances.
  Modify the template resource EBS configuration setting to set `Encrypted: True' and include the AWS KMS alias:
  `aws/ebs' to encrypt the AMI.
• E. Modify the default ECS AMI user data to create a script that executes docker rm {id} for all running container instances. Copy the script to the /etc/init.d/rc.d directory and execute chconfig enabling the script to run during operating system shutdown.

Answer: B,C

NEW QUESTION 36
You want to pass queue messages that are 1GB each. How should you achieve this?

• A. Use the Amazon SQS Extended Client Library for Java and Amazon S3 as a storage mechanism for
  message bodies.
• B. Use AWS EFS as a shared pool storage medium. Store filesystem pointers to the files on disk in the
  SQS message bodies.
• C. Use Kinesis as a buffer stream for message bodies. Store the checkpoint id for the placement in the
  Kinesis Stream in SQS.
• D. Use SQS's support for message partitioning and multi-part uploads on Amazon S3.

Answer: A

Explanation:
You can manage Amazon SQS messages with Amazon S3. This is especially useful for storing and
retrieving messages with a message size of up to 2 GB. To manage Amazon SQS messages with
Amazon S3, use the Amazon SQS Extended Client Library for Java.
Reference:
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/s3-messages.html

NEW QUESTION 37
......

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