Amazon SAP-C02 Practice Test - Questions Answers, Page 40

What is AWS Client VPN?

Creating a Client VPN endpoint

Associating a target network with a Client VPN endpoint

Configuring a self-service portal

Identity-based policies

Policy variables

IAM groups

Object-level logging

Creating a trail that applies to all regions

[What is Amazon Athena?]

awsvpc network mode

Task networking with the awsvpc network mode

Security groups for your VPC

IAM roles for tasks

Best practices for managing AWS access keys

Configuring a Lambda function to access resources in a VPC

Working with VPCs and subnets

NAT gateways

Accessing Amazon Neptune from AWS Lambda

VPC endpoints for DynamoDB

To effectively gather information about network dependencies between VMs in an on-premises data center for migration to AWS, it's crucial to use tools that can capture detailed application and server dependencies. The AWS Application Discovery Service is designed for this purpose, particularly when migrating from environments like Linux-based VMware VMs. By installing the AWS Application Discovery Agent on the on-premises servers, the service can collect necessary data such as host IP addresses, hostnames, and network connection information. This data is crucial for creating a comprehensive network diagram that outlines the interactions and dependencies between various components of the on-premises infrastructure. The integration with AWS Migration Hub enhances this process by allowing the visualization of these dependencies in a network diagram format, aiding in the planning and execution of the migration process. This approach ensures a thorough understanding of the on-premises environment, which is essential for a successful migration to AWS.

AWS Documentation on Application Discovery Service: This provides detailed guidance on how to use the Application Discovery Service, including the installation and configuration of the Discovery Agent.

AWS Migration Hub User Guide: Offers insights on how to integrate Application Discovery Service data with Migration Hub for comprehensive migration planning and tracking.

AWS Solutions Architect Professional Learning Path: Contains advanced topics and best practices for migrating complex on-premises environments to AWS, emphasizing the use of AWS services and tools for effective migration planning and execution.

The most operationally efficient solution for turning on AWS CloudTrail across multiple AWS accounts managed within an AWS Organization is to create a single CloudTrail trail in the organization's management account and configure it to log events for all accounts within the organization. This approach leverages CloudTrail's ability to consolidate logs from all accounts in an organization, thereby simplifying management, reducing overhead, and ensuring consistent logging across accounts. This method eliminates the need for manual intervention in each account, making it an operationally efficient choice for organizations planning to scale their AWS usage.

AWS CloudTrail Documentation: Provides detailed instructions on setting up CloudTrail, including how to configure it for an organization.

AWS Organizations Documentation: Offers insights into best practices for managing multiple AWS accounts and how services like CloudTrail integrate with AWS Organizations.

AWS Best Practices for Security and Governance: Guides on how to effectively use AWS services to maintain a secure and well-governed AWS environment, with a focus on centralized logging and monitoring.

To attribute AWS costs to specific applications or teams and enable detailed cost analysis and forecasting, the solution architect should recommend the following actions: A. Activating user-defined cost allocation tags for resources associated with each application and team allows for detailed tracking of costs by these identifiers. C. Creating a cost category for each application within AWS Billing and Cost Management enables the organization to group costs according to application, facilitating detailed reporting and analysis. F. Enabling Cost Explorer is essential for analyzing and visualizing AWS spending over time. It provides the capability to view historical costs and forecast future expenses, supporting the company's requirement for cost comparison and forecasting.

AWS Billing and Cost Management Documentation: Covers the activation of cost allocation tags, creation of cost categories, and the use of Cost Explorer for cost management.

AWS Tagging Strategies: Provides best practices for implementing tagging strategies that support cost allocation and reporting.

AWS Cost Explorer Documentation: Details how to use Cost Explorer to analyze and forecast AWS costs.

Automating the process of increasing service quotas for Amazon EC2 instances in new AWS accounts with minimal operational overhead can be effectively achieved by using Amazon EventBridge, Amazon SNS, and AWS Lambda. An EventBridge rule can detect the creation of a new account and trigger an SNS topic, which in turn invokes a Lambda function. This function can then programmatically request a service quota increase for EC2 instances using the AWS Service Quotas API. This approach streamlines the process, reduces manual intervention, and ensures that new accounts are automatically configured with the desired service quotas.

Amazon EventBridge Documentation: Provides guidance on setting up event rules for detecting AWS account creation.

AWS Lambda Documentation: Details how to create and configure Lambda functions to perform automated tasks, such as requesting service quota increases.

AWS Service Quotas Documentation: Offers information on managing and requesting increases for AWS service quotas programmatically.

For collecting data from remote sensors without internet connectivity, using an AWS Snowcone device with an Amazon EC2 instance running an FTP server presents a practical solution. This setup allows the sensors to upload data to the EC2 instance via FTP, and after the experiment, the Snowcone device can be returned to AWS for data ingestion into Amazon S3. This approach minimizes operational complexity and ensures efficient data transfer to AWS for further processing or storage.