Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

The best solution is to use AWS Database Migration Service (AWS DMS) to migrate thedata to AWS. AWS DMS is a web service that can migrate data from various sources to various targets, including MySQL databases. AWS DMS can perform full load and change data capture (CDC) migrations, which means that it can copy the existing data and also capture the ongoing changes to keep the source and target databases in sync. This minimizes the downtime during the migration process. AWS DMS also supports encryption at rest and in transit by using AWS Key Management Service (AWS KMS) and TLS, respectively. This ensures that the data is protected during the migration. AWS DMS can also leverage AWS Direct Connect to transfer the data over a private connection, avoiding the internet. This solution meets all the requirements of the company. References: AWS Database Migration Service Documentation, Migrating Data to Amazon RDS for MySQL or MariaDB, Using SSL to Encrypt a Connection to a DB Instance

Creating a single transit gateway in eu-west-1 allows for centralized and cost-effective connectivity between the VPCs involved, without the complexity of creating multiple peering connections or transit gateways.

This approach also allows for selective attachment of only the required VPCs, meeting the strict security and access requirements.

Route table configuration ensures traffic flows properly through the transit gateway, providing connectivity for the application without exposing other VPC resources.

This solution is the most cost-effective and operationally efficient choice for secure inter-Region communication.

The best option is to use Amazon SQS and AWS Lambda to create a serverless order processing application. Amazon SQS is a fully managed message queue service that can decouple the order receiving and processing components, making the application more scalable and fault-tolerant. AWS Lambda is a serverless compute service that can automatically scale to handle the incoming messages from the SQS queue and process them according to the business logic. AWS Lambda can also integrate with Amazon DynamoDB to store the processed orders in a fast and flexible NoSQL database. This approach eliminates the need to provision, manage, or scale any servers or containers, and reduces the operational overhead and cost.

Option A is not reliable because using an EC2-hosted database to receive the orders introduces a single point of failure and a scalability bottleneck. EC2 instances also require more management and configuration than serverless services.

Option C is not reliable because using AWS Step Functions to receive the orders adds unnecessary complexity and cost to the application. AWS Step Functions is a service that coordinates multiple AWS services into a serverless workflow, but it is not designed to handle high-volume, sporadic, or unpredictable traffic patterns. AWS Step Functions also charges per state transition, which can be expensive for a large number of orders. Launching an ECS container to process each order also requires more resources and management than invoking a Lambda function.

Option D is not reliable because using Amazon Kinesis Data Streams to receive the orders is not suitable for this use case. Amazon Kinesis Data Streams is a service that enables real-time processing of streaming data at scale, but it is not meant for asynchronous message queuing. Amazon Kinesis Data Streams requires consumers to poll the data from the stream, which can introduce latency and complexity. Amazon Kinesis Data Streams also charges per shard hour, which can be expensive for a sporadic traffic pattern.

Amazon SQS

AWS Lambda

Amazon DynamoDB

AWS Step Functions

Amazon ECS