Amazon Web Services SAA-C03 Online Access

The most suitable solution for optimizing the user experience by providing the lowest latency for content uploads is to upload and store content in Amazon S3 and use S3 Transfer Acceleration for the uploads. This solution will enable the company to leverage the AWS global network and edge locations to speed up the data transfer between the users and the S3 buckets.

Amazon S3 is a storage service that provides scalable, durable, and highly available object storage for any type of data.Amazon S3 allows users to store and retrieve datafrom anywhere on the web, and offers various features such as encryption, versioning, lifecycle management, and replication1.

S3 Transfer Acceleration is a feature of Amazon S3 that helps users transfer data to and from S3 buckets more quickly. S3 Transfer Acceleration works by using optimized network paths and Amazon’s backbone network to accelerate data transfer speeds.Userscan enable S3 Transfer Acceleration for their buckets and use a distinct URL to access them, such as .s3-accelerate.amazonaws.com2.

The other options are not correct because they either do not provide the lowest latency or are not suitable for the use case. Uploading and storing content in Amazon S3 and using Amazon CloudFront for the uploads is not correct because this solution is not designed for optimizing uploads, but rather for optimizing downloads. Amazon CloudFront is a content delivery network (CDN) that helps users distribute their content globally with low latency and high transfer speeds.CloudFront works by caching the content at edge locations around the world, so that users can access it quickly and easily from anywhere3. Uploading content to Amazon EC2 instances in the Region that is closest to the user and copying the data to Amazon S3 is not correct because this solution adds unnecessary complexity and cost to the process. Amazon EC2 is a computing service that provides scalable and secure virtual servers in the cloud.Users can launch, stop, or terminate EC2 instances as needed, and choose from various instance types, operating systems, and configurations4. Uploading and storing content in Amazon S3 in the Region that is closest to the user and using multiple distributions of Amazon CloudFront is not correct because this solution is not cost-effective or efficient for the use case. As mentioned above, Amazon CloudFront is a CDN that helps users distribute their content globally with low latency and high transfer speeds.However, creating multiple CloudFront distributions for each Region would incur additional charges and management overhead, and would not be necessary since 90% of the content is consumed within the same Region where it is uploaded3.

Amazon Kinesis Data Streams is a scalable and reliable service that can ingest, buffer, and process streaming data in real-time. It can handle large traffic spikes and preserve the order ofthe incoming data records. AWS Lambda is a serverless compute service that can process the data streams from Kinesis Data Streams without requiring any infrastructure management. It can also scale automatically to match the throughput of the data stream. Amazon DynamoDB is a fully managed, highly available, and fast NoSQL database that can store the processed updates from Lambda. It can also handle high write throughput and provide consistent performance. By using these services, the solutions architect can design a solution that meets the requirements of the company with the least operational overhead.

These two steps will meet the requirements because they will provide high availability and scalability for the web application without rewriting it. Amazon EC2 Auto Scaling allows you to automatically adjust the number of EC2 instances in response to changes in demand. By configuring Auto Scaling with multiple Availability Zones in private subnets, you can ensure that your web application is distributed across isolated and fault-tolerant locations, and that your instances are not directly exposed to the internet. An Application Load Balancer operates at the application layer and distributes incoming web traffic across multiple targets, such as EC2 instances, containers, or Lambda functions. By configuring an Application Load Balancer in a public subnet, you can enable your web application to handle requests from the internet and route them to the appropriate targets in the private subnets.

 S3 Lifecycle is a feature that allows you to automate the management of your S3 objects based on predefined rules. You can use S3 Lifecycle to delete expired object versions and retain the two most recent versions by creating a lifecycle configuration rule that applies to all objects in the bucket and specifies the expiration action for noncurrent versions. This way, you can reduce the storage costs of your S3 bucket without requiring any application changes or manual intervention. S3 Lifecycle runs once a day and marks the eligible object versions for deletion. You are no longer charged for the objects that are marked for deletion. S3 Lifecycle is the most cost-effective and simple solution among the options.

B. Use an AWS Lambda function to check for older versions and delete all but the two most recent versions. This option is not optimal because it requires you to write, test, and maintain a custom Lambda function that scans the S3 bucket for older versions and deletes them. This can incur additional costs for Lambda invocations and increase the operational complexity and overhead. Moreover, you need to ensure that your Lambda function has the appropriate permissions and error handling mechanisms to perform the deletion operation.

C. Use S3 Batch Operations to delete noncurrent object versions and retain only the two most recent versions. This option is not ideal because S3 Batch Operations is designed for performing large-scale operations on S3 objects, such as copying, tagging, restoring, or invoking a Lambda function. To use S3 Batch Operations to delete noncurrent object versions, you need to provide a manifest file that lists the object versions that you want to delete. This can be challenging and time-consuming to generate and update. Moreover, S3 Batch Operations charges you for each operation that you perform, which can increase your costs.

D. Deactivate versioning on the S3 bucket and retain the two most recent versions. This option is not feasible because deactivating versioning on an S3 bucket does not delete the existing object versions. Instead, it prevents new versions from being created. Therefore, you still need to delete the older versions manually or use another method to do so. Additionally, deactivating versioning can compromise the data protection and recovery capabilities of your S3 bucket.