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Topic 4: Exam Pool D
A company hosts multiple production applications. One of the applications consists of resources from Amazon EC2, AWS Lambda, Amazon RDS, Amazon Simple Notification Service (Amazon SNS), and Amazon Simple Queue Service (Amazon SQS) across multiple AWS Regions. All company resources are tagged with a tag name of “application” and a value that corresponds to each application. A solutions architect must provide the quickest solution for identifying all of the tagged components. Which solution meets these requirements?
A. Use AWS CloudTrail to generate a list of resources with the application tag.
B. Use the AWS CLI to query each service across all Regions to report the tagged components.
C. Run a query in Amazon CloudWatch Logs Insights to report on the components with the application tag.
D. Run a query with the AWS Resource Groups Tag Editor to report on the resources globally with the application tag.
A company has multiple AWS accounts for development work. Some staff consistently use oversized Amazon EC2 instances, which causes the company to exceed the yearly budget for the development accounts The company wants to centrally restrict the creation of AWS resources in these accounts. Which solution will meet these requirements with the LEAST development effort?
A. Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances.
B. Use AWS Organizations to organize the accounts into organizational units (OUs). Define and attach a service control policy (SCP) to control the usage of EC2 instance types.
C. Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types.
D. Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types Ensure that staff can deploy EC2 instances only by using the Service Catalog products.
Explanation: AWS Organizations is a service that helps users centrally manage and govern multiple AWS accounts. It allows users to create organizational units (OUs) to group accounts based on business needs or other criteria. It also allows users to define and attach service control policies (SCPs) to OUs or accounts to restrict the actions that can be performed by the accounts1. By using AWS Organizations, the solution can centrally restrict the creation of AWS resources in the development accounts.
Develop AWS Systems Manager templates that use an approved EC2 creation process. Use the approved Systems Manager templates to provision EC2 instances. This solution will not meet the requirement of the least development effort, as it involves developing and maintaining custom templates for EC2 creation, and relying on the staff to use the approved templates instead of enforcing a restriction2.
C. Configure an Amazon EventBridge rule that invokes an AWS Lambda function when an EC2 instance is created. Stop disallowed EC2 instance types. This solution will not meet the requirement of the least development effort, as it involves writing custom code for Lambda functions, and handling events and errors for EC2 creation3.
D. Set up AWS Service Catalog products for the staff to create the allowed EC2 instance types En-sure that staff can deploy EC2 instances only by using the Service Catalog products. This solution will not meet the requirement of the least development effort, as it involves setting up and managing Service Catalog products for EC2 creation, and ensuring that staff can only use Service Catalog products instead of enforcing a restriction.
Reference URL: https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps. html
A company runs an application on AWS. The application receives inconsistent amounts of usage. The application uses AWS Direct Connect to connect to an on-premises MySQL- compatible database. The on-premises database consistently uses a minimum of 2 GiB of memory. The company wants to migrate the on-premises database to a managed AWS service. The company wants to use auto scaling capabilities to manage unexpected workload increases. Which solution will meet these requirements with the LEAST administrative overhead?
A. Provision an Amazon DynamoDB database with default read and write capacity settings.
B. Provision an Amazon Aurora database with a minimum capacity of 1 Aurora capacity unit (ACU).
C. Provision an Amazon Aurora Serverless v2 database with a minimum capacity of 1 Aurora capacity unit (ACU).
D. Provision an Amazon RDS for MySQL database with 2 GiB of memory.
Explanation: it allows the company to migrate the on-premises database to a managed AWS service that supports auto scaling capabilities and has the least administrative overhead. Amazon Aurora Serverless v2 is a configuration of Amazon Aurora that automatically scales compute capacity based on workload demand. It can scale from hundreds to hundreds of thousands of transactions in a fraction of a second. Amazon Aurora Serverless v2 also supports MySQL-compatible databases and AWS Direct Connect connectivity.
References:
Amazon Aurora Serverless v2
Connecting to an Amazon Aurora DB Cluster
A company runs container applications by using Amazon Elastic Kubernetes Service (Amazon EKS). The company's workload is not consistent throughout the day The company wants Amazon EKS to scale in and out according to the workload. Which combination of steps will meet these requirements with the LEAST operational overhead? {Select TWO.)
A. Use an AWS Lambda function to resize the EKS cluster
B. Use the Kubernetes Metrics Server to activate horizontal pod autoscaling.
C. Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster.
D. Use Amazon API Gateway and connect it to Amazon EKS
E. Use AWS App Mesh to observe network activity.
Explanation: https://docs.aws.amazon.com/eks/latest/userguide/horizontal-pod- autoscaler.html https://docs.aws.amazon.com/eks/latest/userguide/autoscaling.html
Horizontal pod autoscaling is a feature of Kubernetes that automatically scales the number of pods in a deployment, replication controller, or replica set based on that resource’s CPU utilization. It requires a metrics source such as the Kubernetes Metrics Server to provide CPU usage data1. Cluster autoscaling is a feature of Kubernetes that automatically adjusts the number of nodes in a cluster when pods fail or are rescheduled onto other nodes. It requires an integration with AWS Auto Scaling groups to manage the EC2 instances that join the cluster2. By using both horizontal pod autoscaling and cluster autoscaling, the solution can ensure that Amazon EKS scales in and out according to the workload.
A company has two VPCs that are located in the us-west-2 Region within the same AWS account. The company needs to allow network traffic between these VPCs. Approximately 500 GB of data transfer will occur between the VPCs each month. What is the MOST cost-effective solution to connect these VPCs?
A. Implement AWS Transit Gateway to connect the VPCs. Update the route tables of each VPC to use the transit gateway for inter-VPC communication.
B. Implement an AWS Site-to-Site VPN tunnel between the VPCs. Update the route tables of each VPC to use the VPN tunnel for inter-VPC communication.
C. Set up a VPC peering connection between the VPCs. Update the route tables of each VPC to use the VPC peering connection for inter-VPC communication.
D. Set up a 1 GB AWS Direct Connect connection between the VPCs. Update the route tables of each VPC to use the Direct Connect connection for inter-VPC communication.
Explanation: To connect two VPCs in the same Region within the same AWS account, VPC peering is the most cost-effective solution. VPC peering allows direct network traffic between the VPCs without requiring a gateway, VPN connection, or AWS Transit Gateway. VPC peering also does not incur any additional charges for data transfer between the VPCs.
References:
What Is VPC Peering? VPC Peering Pricing
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