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NEW QUESTION 26
You are using AWS Elastic Beanstalk to deploy your application and must make data stored on an Amazon Elastic Block Store (EBS) volume snapshot available to the Amazon Elastic Compute Cloud (EC2) instances. How can you modify your Elastic Beanstalk environment so that the data is added to the Amazon EC2 instances every time you deploy your application?

• A. Add commands to the Chef recipe associated with your environment, use the create-volume Amazon EC2 API or CLI to create a new Amazon EBS volume based on the specified snapshot, and then mount the volume on launch.
• B. Add commands to a configuration file in the .ebextensions folder of your deployable archive that mount an additional Amazon EBS volume on launch.
  Also add a "BlockDeviceMappings" option, and specify the snapshot to use for the block device in the Auto Scaling launch configuration.
• C. Add commands to the Amazon EC2 user data that will be executed by eb-init, which uses the create- volume Amazon EC2 API or CLI to create a new Amazon EBS volume based on the specified snapshot, and then mounts the volume on launch.
• D. Add commands to a configuration file in the .ebextensions folder of your deployable archive that uses the create-volume Amazon EC2 API or CLI to create a new ephemeral volume based on the specified snapshot and then mounts the volume on launch.

Answer: B

NEW QUESTION 27
A social networking service runs a web API that allows its partners to search public posts. Post data is stored in Amazon DynamoDB and indexed by AWS Lambda functions, with an Amazon ES domain storing the indexes and providing search functionality to the application. The service needs to maintain full capacity during deployments and ensure that failed deployments do not cause downtime or reduced capacity, or prevent subsequent deployments.
How can these requirements be met? (Select TWO )

• A. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy blue/green deployment.
• B. Run the web application in AWS Elastic Beanstalk with the deployment policy set to All at Once.
  Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
• C. Run the web application in AWS Elastic Beanstalk with the deployment policy set to Immutable Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.
• D. Deploy the web application, Lambda functions, DynamoDB tables, and Amazon ES domain in an AWS CloudFormation template. Deploy changes with an AWS CodeDeploy in-place deployment.
• E. Run the web.application in AWS Elastic Beanstalk with the deployment policy set to Rolling Deploy the Lambda functions, DynamoDB tables, and Amazon ES domain with an AWS CloudFormation template.

Answer: C,D

NEW QUESTION 28
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. 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.
• B. 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.
• 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 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.

Answer: A

NEW QUESTION 29
The Deployment team has grown substantially in recent months and so has the number of projects that use separate code repositories. The current process involves configuring AWS CodePipeline manually, and there have been service limit alerts for the count of Amazon S3 buckets.
Which pipeline option will reduce S3 bucket sprawl alerts?

• A. Combine the multiple separate code repositories into a single one, and deploy using a global AWS CodePipeline that has logic for each project.
• B. Create a new pipeline and for S3 bucket for each project by using the AWS API or AWS CLI to bypass the service limits for S3 buckets in a single account.
• C. Create a new pipeline in a different region for each project to bypass the service limits for S3 buckets in a single region.
• D. Create new pipelines by using the AWS API or AWS CLI, and configure them to use a single global S3 bucket with separate prefixes for each project.

Answer: D

NEW QUESTION 30
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