A company has AWS accounts that are in an organization in AWS rganizations. The company wants to track Amazon EC2 usage as a metric.
The company's architecture team must receive a daily alert if the EC2 usage is more than 10% higher than the average EC2 usage from the last 30 days.
Which solution will meet these requirements?
A. Configure AWS Budgets in the organization's management account. Specify a usage type of EC2 running hours. Specify a daily period. Set the budget amount to be 10% more than the reported average usage for the last 30 days from
AWS Cost Explorer.
B. Configure an alert to notify the architecture team if the usage threshold is met. Configure AWS Cost Anomaly Detection in the organization's management account. Configure a monitor type of AWS Service. Apply a filter of Amazon EC2. Configure an alert subscription to notify the architecture team if the usage is 10% more than the average usage for the last 30 days.
C. Enable AWS Trusted Advisor in the organization's management account. Configure a cost optimization advisory alert to notify the architecture team if the EC2 usage is 10% more than the reported average usage for the last 30 days.
D. Configure Amazon Detective in the organization's management account. Configure an EC2 usage anomaly alert to notify the architecture team if Detective identifies a usage anomaly of more than 10%.
A company operates a fleet of servers on premises and operates a fleet of Amazon EC2 instances in its organization in AWS Organizations. The company's AWS accounts contain hundreds of VPCs. The company wants to connect its AWS accounts to its on-premises network. AWS Site-to-Site VPN connections are already established to a single AWS account. The company wants to control which VPCs can communicate with other VPCs.
Which combination of steps will achieve this level of control with the LEAST operational effort? (Choose three.)
A. Create a transit gateway in an AWS account. Share the transit gateway across accounts by using AWS Resource Access Manager (AWS RAM).
B. Configure attachments to all VPCs and VPNs.
C. Set up transit gateway route tables. Associate the VPCs and VPNs with the route tables.
D. Configure VPC peering between the VPCs.
E. Configure attachments between the VPCs and VPNs.
F. Set up route tables on the VPCs and VPNs.
A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled.
The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application uses PostgreSOL for the database layer.
The company needs a scaling solution to maximize availability during the sale events.
Which solution will meet these requirements?
A. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSOL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
B. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazcyl ROS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replica. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
C. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSOL Multi-AZ DB instance with automatically scaling read replica. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
D. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB duster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.
A company is building an application that will run on an AWS Lambda function. Hundreds of customers will use the application. The company wants to give each customer a quota of requests for a specific time period. The quotas must match customer usage patterns. Some customers must receive a higher quota for a shorter time period.
Which solution will meet these requirements?
A. Create an Amazon API Gateway REST API with a proxy integration to invoke the Lambda function. For each customer, configure an API Gateway usage plan that includes an appropriate request quota. Create an API key from the usage plan for each user that the customer needs.
B. Create an Amazon API Gateway HTTP API with a proxy integration to invoke the Lambda function. For each customer, configure an API Gateway usage plan that includes an appropriate request quota. Configure route-level throttling for each usage plan. Create an API key from the usage plan for each user that the customer needs.
C. Create a Lambda function alias for each customer. Include a concurrency limit with an appropriate request quota. Create a Lambda function URL for each function alias. Share the Lambda function URL for each alias with the relevant customer.
D. Create an Application Load Balancer (ALB) in a VPC. Configure the Lambda function as a target for the ALB. Configure an AWS WAF web ACL for the ALB. For each customer, configure a rate-based rule that includes an appropriate request quota.
A financial services company has an asset management product that thousands of customers use around the world. The customers provide feedback about the product through surveys. The company is building a new analytical solution that runs on Amazon EMR to analyze the data from these surveys.
The following user personas need to access the analytical solution to perform different actions:
1.
Administrator: Provisions the EMR cluster for the analytics team based on the team's requirements
2.
Data engineer: Runs E TL scripts to process, transform, and enrich the datasets
3.
Data analyst: Runs SQL and Hive queries on the data
A solutions architect must ensure that all the user personas have least privilege access to only the resources that they need. The user personas must be able to launch only applications that are approved and authorized. The solution also must ensure tagging for all resources that the user personas create.
Which solution will meet these requirements?
A. Create IAM roles for each user persona. Attach identity-based policies to define which actions the user who assumes the role can perform. Create an AWS Config rule to check for noncompliant resources. Configure the rule to notify the administrator to remediate the noncompliant resources.
B. Set up Kerberos-based authentication for EMR clusters upon launch. Specify a Kerberos security configuration along with cluster-specific Kerberos options.
C. Use AWS Service Catalog to control the Amazon EMR versions available for deployment, the cluster configuration, and the permissions for each user persona.
D. Launch the EMR cluster by using AWS CloudFormation. Attach resource-based policies to the EMR cluster during cluster creation. Create an AWS Config rule to check for noncompliant clusters and noncompliant Amazon S3 buckets. Configure the rule to notify the administrator to remediate the noncompliant resources.
A company is deploying a new API to AWS. The API uses Amazon API Gateway with a Regional API endpoint and an AWS Lambda function for hosting. The API retrieves data from an external vendor API, stores data in an Amazon
DynamoDB global table, and retrieves data from the DynamoDB global table. The API key for the vendor's API is stored in AWS Secrets Manager and is encrypted with a customer managed key in AWS Key Management Service (AWS
KMS).
The company has deployed its own API into a single AWS Region.
A solutions architect needs to change the API components of the company's API to ensure that the components can run across multiple Regions in an active-active configuration. Which combination of changes will meet this requirement with the LEAST operational overhead? (Choose three.)
A. Deploy the API to multiple Regions. Configure Amazon Route 53 with custom domain names that route traffic to each Regional API endpoint. Implement a Route 53 multivalue answer routing policy.
B. Create a new KMS multi-Region customer managed key. Create a new KMS customer managed replica key in each in-scope Region.
C. Replicate the existing Secrets Manager secret to other Regions. For each in-scope Region's replicated secret, select the appropriate KMS key.
D. Create a new AWS managed KMS key in each in-scope Region. Convert an existing key to a multi- Region key. Use the multi-Region key in other Regions.
E. Create a new Secrets Manager secret in each in-scope Region. Copy the secret value from the existing Region to the new secret in each in-scope Region.
F. Modify the deployment process for the Lambda function to repeat the deployment across in-scope Regions. Turn on the multi-Region option for the existing API. Select the Lambda function that is deployed in each Region as the backend for the multi-Region API.
A company runs applications in hundreds of production AWS accounts. The company uses AWS Organizations with all features enabled and has a centralized backup operation that uses AWS Backup.
The company is concerned about ransomware attacks. To address this concern, the company has created a new policy that all backups must be resilient to breaches of privileged-user credentials in any production account.
Which combination of steps will meet this new requirement? (Select THREE.)
A. Implement cross-account backup with AWS Backup vaults in designated non-production accounts.
B. Add an SCP that restricts the modification of AWS Backup vaults.
C. Implement AWS Backup Vault Lock in compliance mode.
D. Configure the backup frequency, lifecycle, and retention period to ensure that at least one backup always exists in the cold tier.
E. Configure AWS Backup to write all backups to an Amazon S3 bucket in a designated non-production account. Ensure that the S3 bucket has S3 Object Lock enabled.
F. Implement least privilege access for the IAM service role that is assigned to AWS Backup.
A live-events company is designing a scaling solution for its ticket application on AWS. The application has high peaks of utilization during sale events. Each sale event is a one-time event that is scheduled. The application runs on Amazon EC2 instances that are in an Auto Scaling group.
The application uses PostgreSQL for the database layer.
The company needs a scaling solution to maximize availability during the sale events.
Which solution will meet these requirements?
A. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Serverless v2 Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
B. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger read replica before a sale event. Fail over to the larger read replica. Create another EventBridge rule that invokes another Lambda function to scale down the read replica after the sale event.
C. Use a predictive scaling policy for the EC2 instances. Host the database on an Amazon RDS for PostgreSQL Multi-AZ DB instance with automatically scaling read replicas. Create an AWS Step Functions state machine to run parallel AWS Lambda functions to pre-warm the database before a sale event. Create an Amazon EventBridge rule to invoke the state machine.
D. Use a scheduled scaling policy for the EC2 instances. Host the database on an Amazon Aurora PostgreSQL Multi-AZ DB cluster. Create an Amazon EventBridge rule that invokes an AWS Lambda function to create a larger Aurora Replica before a sale event. Fail over to the larger Aurora Replica. Create another EventBridge rule that invokes another Lambda function to scale down the Aurora Replica after the sale event.
A company is planning to migrate its on-premises VMware cluster of 120 VMS to AWS. The VMS have many different operating systems and many custom software packages installed. The company also has an on-premises NFS server that is 10 TB in size. The company has set up a 10 GbpsAWS Direct Connect connection to AWS for the migration
Which solution will complete the migration to AWS in the LEAST amount of time?
A. Export the on-premises VMS and copy them to an Amazon S3 bucket. Use VM Import/Export to create AMIS from the VM images that are stored in Amazon S3. Order an AWS Snowball Edge device. Copy the NFS server data to the device. Restore the NFS server data to an Amazon EC2 instance that has NFS configured.
B. Configure AWS Application Migration Service with a connection to the VMware cluster. Create a replication job for the VMS. Create an Amazon Elastic File System (Amazon EFS) file system. Configure AWS DataSync to copy the NFS server data to the EFS file system over the Direct Connect connection.
C. Recreate the VMS on AWS as Amazon EC2 instances. Install all the required software packages. Create an Amazon FSx for Lustre file system. Configure AWS DataSync to copy the NFS server data to the FSx for Lustre file system over the Direct Connect connection.
D. Order two AWS Snowball Edge devices. Copy the VMS and the NFS server data to the devices. Run VM Import/Export after the data from the devices is loaded to an Amazon S3 bucket. Create an Amazon Elastic File System (Amazon EFS) file system. Copy the NFS server data from Amazon S3 to the EFS file system.
A company needs to aggregate Amazon CloudWatch logs from its AWS accounts into one central logging account. The collected logs must remain in the AWS Region of creation. The central logging account will then process the logs, normalize the logs into standard output format, and stream the output logs to a security tool for more processing.
A solutions architect must design a solution that can handle a large volume of logging data that needs to be ingested. Less logging will occur outside normal business hours than during normal business hours. The logging solution must scale with the anticipated load. The solutions architect has decided to use an AWS Control Tower design to handle the multi-account logging process.
Which combination of steps should the solutions architect take to meet the requirements? (Select THREE.)
A. Create a destination Amazon Kinesis data stream in the central logging account.
B. Create a destination Amazon Simple Queue Service (Amazon SQS) queue in the central logging account.
C. Create an IAM role that grants Amazon CloudWatch Logs the permission to add data to the Amazon Kinesis data stream. Create a trust policy. Specify the trust policy in the IAM role. In each member account, create a subscription filter for each log group to send data to the Kinesis data stream.
D. Create an IAM role that grants Amazon CloudWatch Logs the permission to add data to the Amazon Simple Queue Service (Amazon SQS) queue. Create a trust policy. Specify the trust policy in the IAM role. In each member account, create a single subscription filter for all log groups to send data to the SQS queue.
E. Create an AWS Lambda function. Program the Lambda function to normalize the logs in the central logging account and to write the logs to the security tool.
F. Create an AWS Lambda function. Program the Lambda function to normalize the logs in the member accounts and to write the logs to the security tool.
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