Amazon Web Services SAP-C02 Exam Dumps Questions and Answers

This explanation is based on AWS documentation and best practices but is paraphrased, not a literal extract.

The company needs two things:

To serve static content from the AWS Region geographically closest to each customer.

To send data from on premises to Amazon S3 with minimal latency and without traversing the public internet, while keeping operational overhead low.

S3 Multi-Region Access Points provide a single global endpoint that fronts multiple S3 buckets in different Regions. Multi-Region Access Points use latency-based routing and failover capabilities to direct client requests automatically to the closest healthy Regional S3 bucket that is part of the Multi-Region Access Point. This directly addresses the requirement to serve content from the closest Region with high performance and reliability, and it avoids the need to build and maintain custom routing logic.

Behind the scenes, S3 Multi-Region Access Points rely on S3 Replication between the Regional buckets that participate in the Multi-Region Access Point. When you configure a Multi-Region Access Point, you set up the participating buckets and replication configuration once; AWS then manages routing and failover, reducing operational overhead compared to manually configuring and managing multiple S3 endpoints and application logic.

For the on-premises environment, the company wants to send data to S3 with minimal latency and without using the public internet. AWS Direct Connect provides a dedicated network connection from the on-premises network into AWS, avoiding the public internet and generally providing lower and more consistent latency. AWS PrivateLink allows private connectivity to supported AWS services (such as S3 Multi-Region Access Points via interface endpoints) from within a VPC using private IP addresses. When you combine Direct Connect with PrivateLink, traffic flows from on-premises over a private dedicated connection into a VPC and then privately to the Multi-Region Access Point through an interface VPC endpoint, satisfying the requirement for no public internet exposure.

Therefore, implementing S3 Multi-Region Access Points (option A) addresses the global content serving and Regional routing, and using AWS PrivateLink together with AWS Direct Connect (option E) provides low-latency, private network connectivity from on premises to the Multi-Region Access Point with minimal operational overhead.

Option B, S3 Cross-Region Replication alone, would replicate data across Regions but would not automatically route customers to the closest Region; application changes and manual routing would be required, increasing operational overhead.

Option C would require building and maintaining a custom Lambda-based routing system, which is unnecessary when S3 Multi-Region Access Points provide managed routing and failover.

Option D, AWS Site-to-Site VPN, encrypts traffic over the public internet; it does not satisfy the explicit requirement to avoid public internet exposure and typically has less predictable latency than Direct Connect.

The company should download the data from the Amazon Redshift tables to an Amazon S3 bucket periodically and use AWS Data Exchange for S3 to share data with customers. The company should configure subscription verification and require the data customers to subscribe to the data product. This solution will meet the requirements with the least operational overhead because AWS Data Exchange for S3 is a feature that enables data subscribers to access third-party data files directly from data providers’ Amazon S3 buckets. Subscribers can easily use these files for their data analysis with AWS services without needing to create or manage data copies. Data providers can easily set up AWS Data Exchange for S3 on top of their existing S3 buckets to share direct access to an entire S3 bucket or specific prefixes and S3 objects. AWS Data Exchange automatically manages subscriptions, entitlements, billing, and payment1.

The other options are not correct because:

Using AWS Data Exchange for APIs to share data with customers would not work because AWS Data Exchange for APIs is a feature that enables data subscribers to access third-party APIs directly from data providers’ AWS accounts. Subscribers can easily use these APIs for their data analysis with AWS services without needing to manage API keys or tokens. Data providers can easily set up AWS Data Exchangefor APIs on top of their existing API Gateway resources to share direct access to an entire API or specific routes and stages2. However, this feature is not suitable for sharing data from Amazon Redshift tables, which are not exposed as APIs.

Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not work because the Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client3. It is useful for building applications that interact with Amazon Redshift, but not for sharing data files with customers.

Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not work because AWS Data Exchange does not support datashares for Amazon Redshift clusters. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data4. It is useful for sharing query results and views with other users, but not for sharing data files with customers.

Publishing the Amazon Redshift data to an Open Data on AWS Data Exchange would not work because Open Data on AWS Data Exchange is a feature that enables you to find and use free and public datasets from AWS customers and partners. It is useful for accessing open and free data, but not for confirming the identities of the customers or charging them for the data.