A. Use an Amazon RDS DB instance deployed in the us-east-1 Region with a read replica instance in the apnortheast-1 Regio

B. Create an Amazon ElastiCache cluster in the ap-northeast-1 Region to cacheapplication data from the replica to generate the dashboards.

C. Use an Amazon DynamoDB global table in the us-east-1 Region with replication into the ap-northeast-1Regio

D. Use Amazon QuickSight for displaying dashboard results.

E. Use an Amazon RDS for MySQL DB instance deployed in the us-east-1 Region with a read replicainstance in the ap-northeast-1 Regio

F. Have the dashboard application read from the read replica.

G. Use an Amazon Aurora global databas

H. Deploy the writer instance in the us-east-1 Region and the replicain the ap-northeast-1 Regio

I. Have the dashboard application read from the replica ap-northeast-1 Region.

A. Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and diskspace consumptio

B. Watch these dashboards during the next slow period.

C. Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring toolthat will run reports based on the output error logs.

D. Modify the logging database parameter to log all the queries related to locking in the database and thencheck the logs after the next slow period for this information.

E. Enable Amazon RDS Performance Insights on the PostgreSQL databas

F. Use the metrics to identify anyqueries that are related to spikes in the graph during the next slow period.

A. Organize common and environmental-specific parameters hierarchically in the AWS Systems ManagerParameter Store, then reference the parameters dynamically from an AWS CloudFormation template.Deploy the CloudFormation stack using the environment name as a parameter.

B. Create a parameterized AWS CloudFormation template that builds the required object

C. Keep separateenvironment parameter files in separate Amazon S3 bucket

D. Provide an AWS CLI command that deploysthe CloudFormation stack directly referencing the appropriate parameter bucket.

E. Create a parameterized AWS CloudFormation template that builds the required object

F. Import thetemplate into the CloudFormation interface in the AWS Management Consol

G. Make the required changesto the parameters and deploy the CloudFormation stack.

H. Create an AWS Lambda function that builds the required objects using an AWS SD

I. Set the requiredparameter values in a test event in the Lambda console for each environment that the Application team canmodify, as neede

J. Deploy the infrastructure by triggering the test event in the console.