SAP-C02 Exam Questions & Answers

Gateway VPC Endpoint for S3:

Create a gateway VPC endpoint for Amazon S3 in your VPC. This allows instances in your VPC to communicate with Amazon S3 without going through the internet, reducing data transfer costs and improving security.

Add Spot Instances to ECS Cluster:

Add another ECS capacity provider that uses an Auto Scaling group of Spot Instances. Configure this new capacity provider to share the load with the existing On-Demand Instances by setting an appropriate weight in the capacity provider strategy. Spot Instances offer significant cost savings compared to On-Demand Instances.

Configure Capacity Provider Strategy:

Adjust the ECS service's capacity provider strategy to utilize both On-Demand and Spot Instances effectively. This ensures a balanced distribution of tasks across both instance types, optimizing cost while maintaining availability.

By implementing a gateway VPC endpoint for S3 and incorporating Spot Instances into the ECS cluster, the company can significantly reduce operational costs without compromising on the availability or performance of the platform.

Reference

AWS Cost Optimization Blog on VPC Endpoints

AWS ECS Documentation on Capacity Providers

To develop a migration plan with accurate inventory and dependency data:

AWS Migration Hub provides a single view for tracking migration tasks and resources across multiple AWS services.

The AWS Application Discovery Agent (installed on servers) collects detailed data about running processes, system performance, and network connections.

Migration Hub Strategy Recommendations leverages this data to automatically identify application patterns, generate recommended AWS target services, and provide a detailed migration plan.This approach ensures accurate data collection, detailed dependency mapping, and tailored recommendations---crucial for a successful and right-sized migration to AWS.

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.Reference:AWS Database Migration Service Documentation,Migrating Data to Amazon RDS for MySQL or MariaDB,Using SSL to Encrypt a Connection to a DB Instance

Option C is correct because leveraging Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data resolves the issues permanently and enable growth as new sensors are provisioned. Amazon Kinesis Data Streams is a serverless streaming data service that simplifies the capture, processing, and storage of data streams at any scale. Kinesis Data Streams can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latency. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda can be triggered by Kinesis Data Streams events and process the data records in real time. Lambda can also scale automatically based on the incoming data volume.By using Kinesis Data Streams and Lambda, the company can reduce the load on the API servers and improve the performance and scalability of the data ingestion and processing layer3

Option E is correct because re-architecting the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance resolves the issues permanently and enable growth as new sensors are provisioned. Amazon DynamoDB is a fully managed key-value and document database that delivers single-digit millisecond performance at any scale. DynamoDB supports auto scaling, which automatically adjusts read and write capacity based on actual traffic patterns. DynamoDB also supports on-demand capacity mode, which instantly accommodates up to double the previous peak traffic on a table. By using DynamoDB instead of RDS MySQL DB instance, the company can eliminate high write latency and improve scalability and performance of the database tier.