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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q19-Q24):

NEW QUESTION # 19
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application clue to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS Cloud Formation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 because of the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, although memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?

A. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Run a stack update with the new template. Auto Scaling will then update the instances with the new instance type.
B. Sign into the AWS Management Console, and update the existing launch configuration with the new C3 instance type. Add an UpdatePolicy attribute to your Auto Scaling group that specifies AutoScalingRollingUpdate.
C. Sign into the AWS Management Console, copy the old launch configuration, and create a new launch configuration that specifies the C3 instances. Update the Auto Scalinggroup with the new launch configuration. Auto Scaling will then update the instance type of all running instances.
D. Update the launch configuration specified in the AWS CloudFormation template with the new C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies AutoScalingRollingUpdate. Run a stack update with the new template.

Answer: D

Explanation:
Explanation
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePoIicy 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 Scaling group and replaces old instances with new ones, according to the parameters specified. For more information on rolling updates, please visit the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION # 20
A company is deploying a container-based application using AWS CodeBuild. The security team mandates that all containers are scanned for vulnerabilities prior to deployment using a password-protected endpoint. All sensitive information must be stored securely.
Which solution should be used to meet these requirements?

A. Encrypt the password using AWS KMS. Store the encrypted password in the buildspec.yml file as an environment variable under the variables mapping. Reference the environment variable to initiate scanning.
B. Import the password into an AWS CloudHSM key. Reference the CloudHSM key in the buildpec.yml file as an environment variable under the variables mapping. Reference the environment variable to initiate scanning.
C. Use the AWS Encryption SDK to encrypt the password and embed in the buildspec.yml file as a variable under the secrets mapping. Attach a policy to CodeBuild to enable access to the required decryption key.
D. Store the password in the AWS Systems Manager Parameter Store as a secure string. Add the Parameter Store key to the buildspec.yml file as an environment variable under the parameter-store mapping.
Reference the environment variable to initiate scanning.

Answer: D

NEW QUESTION # 21
You are creating a cloudformation templates which takes in a database password as a parameter. How can you ensure that the password is not visible when anybody tries to describes the stack

A. Usethe NoEcho property for the parameter value
B. Setthe hidden attribute for the Cloudformation resource.
C. Usethe hidden property for the parameter value
D. Usethe password attribute for the resource

Answer: A

Explanation:
Explanation
The AWS Documentation mentions
For sensitive parameter values (such as passwords), set the NoEcho property to true. That way, whenever anyone describes your stack, the parameter value is shown as asterisks (***").
For more information on Cloudformation parameters, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/parameters-section-structure.html

NEW QUESTION # 22
After conducting a disaster recovery exercise, an Enterprise Architect discovers that a large team of Database and Storage Administrators need more then seven hours of manual effort to make a flagship application's database functional in a different AWS Region. The Architect also discovers that the recovered database is often missing as much as two hours of data transactions. Which solution provides improved RTO and RPO in a cross-region failover scenario?

A. Deploy an Amazon RDS Multi-AZ instance backed by a multi-region Amazon EFS. Configure the RDS option group to enable multi-region availability for native automation of cross-region recovery and continuous data replication. Create an Amazon SNS topic subscribed to RDS- impacted events to send emails to the Database Administration team when significant query Latency is detected in a single Availability Zone.
B. Use Amazon RDS scheduled instance lifecycle events to create a snapshot and specify a frequency to match the RPO. Use Amazon RDS scheduled instance lifecycle event configuration to perform a cross- region snapshot copy into the failover region upon SnapshotCreateComplete events. Configure Amazon CloudWatch to alert when the CloudWatch RDS namespace CPUUtilization metric for the database instance falls to 0% and make a call to Amazon RDS to restore the database snapshot in the failover region.
C. Create a scheduled Amazon CloudWatch Events rule to make a call to Amazon RDS to create a snapshot from a database instance and specify a frequency to match the RPO. Create an AWS Step Functions task to call Amazon RDS to perform a cross-region snapshot copy into the failover region, and configure the state machine to execute the task when the RDS snapshot create state is complete.
Create an SNS topic subscribed to RDS availability events, and push these messages to an Amazon SQS queue located in the failover region. Configure an Auto Scaling group of worker nodes to poll the queue for new messages and make a call to Amazon RDS to restore a database from a snapshot after a checksum on the cross-region copied snapshot returns valid.
D. Use Amazon SNS topics to receive published messages from Amazon RDS availability and backup events. Use AWS Lambda for three separate functions with calls to Amazon RDS to snapshot a database instance, create a cross-region snapshot copy, and restore an instance from a snapshot. Use a scheduled Amazon CloudWatch Events rule at a frequency matching the RPO to trigger the Lambda function to snapshot a database instance. Trigger the Lambda function to create a cross-region snapshot copy when the SNS topic for backup events receives a new message. Configure the Lambda function to restore an instance from a snapshot to trigger sending new messages published to the availability SNS topic.

Answer: D

Explanation:
https://aws.amazon.com/blogs/database/cross-region-automatic-disaster-recovery-on-amazon- rds-for-oracle-database-using-db-snapshots-and-aws-lambda/

NEW QUESTION # 23
Your company currently runs a large multi-tier web application. One component is an API service that all other components of your application rely on to perform read/write operations.
This service must have high availability and zero downtime during deployments.
Which technique should you use to provide cost-effective, zero-downtime deployments for this component?

A. Re-deploy your application on Elastic Beanstalk. During deployment, create a new version of your application, and create a new environment running that version in Elastic BeanStalk. Finally, take advantage of the Elastic Beanstalk Swap CNAME operation to switch to the new environment.
B. Re-deploy your application behind a load balancer using an AWS OpsWorks stack and use AWS OpsWorks stack versioning, during deployment create a new version of your application, tell AWS OpsWorks to launch the new version behind your load balancer, and when the new version is launched, terminate the old AWS OpsWorks stack.
C. Re-deploy your application behind a load balancer that uses Auto Scaling groups. Create a new identical Auto Scaling group and associate it to your Amazon Route53 zone.
Configure Amazon Route53 to auto- weight traffic over to the new Auto Scaling group when all instances are marked as healthy.
D. Use an AWS CloudFormation template to re-deploy your application behind a load balancer, and launch a new AWS CloudFormation stack during each deployment.
Update your load balancer to send traffic to the new stack, and then deploy your software. Leave your old stacks running, and tag their resources with the version for rollback.

Answer: A

NEW QUESTION # 24
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