Amazon Web Services SAA-C03 Questions Answers

 These answers are correct because they meet the requirements of converting the .csv files into images, making them available as soon as possible, and minimizing the storage costs. AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use AWS Lambda to design a function that converts the .csv files into images and stores the images in the S3 bucket. You can invoke the Lambda function when a .csv file is uploaded to the S3 bucket by using an S3 event notification. This way, you can ensure that the images are generated and made available as soon as possible for the graphical reports. S3 Lifecycle is a feature that enables you to manage your objects so that they are stored cost effectively throughout their lifecycle. You can create S3 Lifecycle rules for .csv files and image files in the S3 bucket to transition them to different storage classes or expire them based on your business needs. You can transition the .csv files from S3 Standard to S3 Glacier 1 day after they areuploaded, since they are only needed twice a year for ML trainings and audits that are planned weeks in advance. S3 Glacier is a storage class for data archiving that offers secure, durable, and extremely low-cost storage with retrieval times ranging from minutes to hours. You can expire the image files after 30 days, since they become irrelevant after 1 month.

B and E are the correct answers because they allow the solutions architect to ensure that API calls to Amazon DynamoDB from Amazon EC2 instances in a VPC do not travel across the internet. By creating a gateway endpoint for DynamoDB, the solutions architect can enable private connectivity between the VPC and DynamoDB. By creating a security group entry in the endpoint’s security group to provide access, the solutions architect can control which EC2 instances can communicate with DynamoDB through the endpoint. References:

Gateway Endpoints

Controlling Access to Services with VPC Endpoints

AWS Transit Gateway is a highly scalable and centralized hub for connecting multiple VPCs, on-premises networks, and remote networks. It simplifies network connectivity by providing a single entry point and reducing the number of connections required. In this scenario, deploying an AWS Transit Gateway in the networking team's AWS account allows for efficient management and control over the network connectivity across multiple VPCs.

To ingest and process high-volume streaming data with the least operational overhead, Amazon Kinesis Data Firehose is a suitable solution. Amazon Kinesis Data Firehose can capture, transform, anddeliver streaming data to Amazon S3 or other destinations. Amazon Kinesis Data Firehose can scale automatically to match the throughput of the data and handle any amount of data. Amazon Kinesis Data Firehose is also a fully managed service that does not require any servers to provision or manage.