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NEW QUESTION 52
A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:
- A number of instances must be available to serve traffic during the
deployment. Traffic must be balanced across those instances, and the
instances must automatically heal in the event of failure.
- A new fleet of instances must be launched for deploying a new
revision automatically, with no manual provisioning.
- Traffic must be rerouted to the new environment to half of the new
instances at a time. The deployment should succeed if traffic is
rerouted to at least half of the instances; otherwise, it should fail.
- Before routing traffic to the new fleet of instances, the temporary
files generated during the deployment process must be deleted.
- At the end of a successful deployment, the original instances in the
deployment group must be deleted immediately to reduce costs.
How can a DevOps Engineer meet these requirements?

A. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically option, and use CodeDeployDefault HalfAtAtime as the deployment copy Auto Scaling group configuration. Instruct AWS CodeDeploy to terminate the original isntances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.B. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy option, and use CodeDeployDefault AllatOnce as a deployment configuration.
Auto Scaling group
Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appsec.yml to delete the temporary files.C. Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically option, create a custom deployment configuration with minimum copy Auto Scaling group healthy hosts defined as 50%, and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeBlock Traffic hook within appsec.yml to delete the temporary files.D. Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.

Answer: A

Explanation:
https://docs.aws.amazon.com/codedeploy/latest/APIReference/API_BlueGreenDeploymentConfig uration.html

 

NEW QUESTION 53
You run a SIP-based telephony application that uses Amazon EC2 for its web tier and uses MySQL on Amazon RDS as its database. The application stores only the authentication profile data for its existing users in the database and therefore is read-intensive. Your monitoring system shows that your web instances and the database have high CPU utilization.
Which of the following steps should you take in order to ensure the continual availability of your application?
(Choose two.)

A. Use multiple Amazon RDS read replicas.B. Set up an Auto Scaling group for the application tier and a policy that scales based on the Amazon RDS CloudWatch CPU utilization metric.C. Use a CloudFront RTMP download distribution with the application tier as the origin for the distribution.D. Set up an Auto Scaling group for the application tier and a policy that scales based on the Amazon EC2 CloudWatch CPU utilization metric.E. Switch to General Purpose (SSD) Storage from Provisioned IOPS Storage (PIOPS) for the Amazon RDS database.F. Vertically scale up the Amazon EC2 instances manually.

Answer: A,D

 

NEW QUESTION 54
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system.
How can this be accomplished?

A. Enable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.B. Enable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.C. Enable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.D. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.

Answer: C

 

NEW QUESTION 55
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