Amazon Web Services Updated SAP-C02 Exam Questions and Answers by omari

Explanation: This option allows the company to use a single VPC to host multiple test environments that are isolated from each other by using different subnets and security groups1. By including a transit gateway attachment and related routing configurations, the company can enable the test environments to communicate with the central server in the on-premises data center through a VPN connection2. By using AWS CloudFormation to deploy all test environments into the VPC, the company can automate the creation and deletion of test environments without any manual intervention3. This option also minimizes the operational overhead by reducing the number of VPCs, accounts, and resources that need to be managed.

References:

• Working with VPCs and subnets
• Working with transit gateways
• Working with AWS CloudFormation stacks

• Option C is correct because using Auto Scaling groups for the backend services allows the company to scale up or down the number of EC2 instances based on the demand and traffic. This way, the backend services can handle more requests during peak seasons without compromising performance or availability. Using DynamoDB auto scaling allows the company to adjust the provisioned read and write capacity of the table or index automatically based on the actual traffic patterns. This way, the table or index can handle sudden increases or decreases in workload without throttling or overprovisioning1.
• Option A is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, increasing the read and write capacity of DynamoDB manually may not be efficient or cost-effective, as it does not account for the variability of the workload. The company may end up paying for unused capacity or experiencing throttling if the workload exceeds the provisioned capacity1.
• Option B is incorrect because migrating the backend services to AWS Lambda may require significant development effort to rewrite the code and test the functionality. Moreover, configuring DynamoDB to use global tables may not be necessary or beneficial for the company, as global tables are mainly used for replicating data across multiple AWS Regions for fast local access and disaster recovery. Global tables do not automatically scale the provisioned capacity of each replica table; they still require manual or auto scaling settings2.
• Option D is incorrect because using Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB may introduce additional complexity and latency to the application architecture. Amazon SQS is a message queue service that decouples and coordinates the components of a distributed system. AWS Lambda is a serverless compute service that runs code in response to events. Using these services may require significant development effort to integrate them with the backend services and DynamoDB. Moreover, they may not improve the read performance of DynamoDB, which may also be affected by high traffic3.

References:

• Auto Scaling groups
• DynamoDB auto scaling
• AWS Lambda
• DynamoDB global tables
• AWS Lambda vs EC2: Comparison of AWS Compute Resources - Simform
• Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB
• AWS Aurora Global Database vs. DynamoDB Global Tables
• Amazon Simple Queue Service (SQS)

Explanation:

• Developing infrastructure services using AWS CloudFormation templates and uploading them as AWS Service Catalog products to portfolios created in a central AWS account will enable the company to centrally manage the creation of infrastructure services and control who can use them1. AWS Service Catalog allows you to create and manage catalogs of IT services that are approved for use on AWS2. You can organize products into portfolios, which are collections of products along with configuration information3. You can share portfolios with other accounts in your organization using AWS Organizations4.
• Allowing user IAM roles to have ServiceCatalogEndUserAccess permissions only and using an automation script to import the central portfolios to local AWS accounts, copy the TagOption, assign users access, and apply launch constraints will enable the company to provide least privilege access to users when launching AWS infrastructure services. ServiceCatalogEndUserAccess is a managed IAM policy that grants users permission to list and view products and launch product instances. An automation script can help import the shared portfolios from the central account to the local accounts, copy the TagOption from the central account, assign users access to the portfolios, and apply launch constraints that specify which IAM role or user can provision a product.
• Using the AWS Service Catalog TagOption Library to maintain a list of tags required by the company and applying the TagOption to AWS Service Catalog products or portfolios will enable the company to enforce tags on any infrastructure that is started by users. TagOptions are key-value pairs that you can use to classify your AWS Service Catalog resources. You can create a TagOption Library that contains all the tags that you want to use across your organization. You can apply TagOptions to products or portfolios, and they will be automatically applied to any provisioned product instances.

References:

• Creating a product from an existing CloudFormation template
• What is AWS Service Catalog?
• Working with portfolios
• Sharing a portfolio with AWS Organizations
• [Providing least privilege access for users]
• [AWS managed policies for job functions]
• [Importing shared portfolios]
• [Enforcing tag policies]
• [Working with TagOptions]
• [Creating a TagOption Library]
• [Applying TagOptions]