Q394.A company manages an on-premises data ingestion application that receives metrics from loT devices in JSON format. The data is collected transformed and stored in a data warehouse for analysis. The current infrastructure has severe performance issues at peak loads due to insufficient compute capacity causing some of the data ingestion to be dropped.The company wants to migrate the application to AWS. The solution must support its current analytics tool that connects to the data warehouse with a Java Database Connectivity (JDBC) driver. The company requires a resilient and cost. -effective solution that will address the performance issues.Which solution will meet these requirements?
A.Replatform the application. Create an Application Load Balancer and an Amazon EC2 instance with Auto Scaling to host the application to ingest and transform the data. Create an Amazon RDS PostgreSQL Multi-AZ DB instance in a private subnet to store data. Use Amazon QuickSight to generate reports and visualize data. B.Replatform the application. Use Amazon API Gateway to handle data ingestion. Use AWS Lambda to transform the data.Create an Amazon Aurora PostgreSQL DB cluster with an Aurora Replica in two private subnets to store data. Use Amazon QuickSight to generate reports and visualize data. C.Re-architect the application. Load the data into Amazon S3. Use AWS Glue to transform the data. Store the table schema in an AWS Glue Data Catalog. Use Amazon Athena to query the data. D.Re-architect the application. Load the data into Amazon S3. Use Amazon EMR to transform the data. Create an external schema in an AWS Glue Data Catalog. Use Amazon Redshift Spectrum to query the data.正确答案C
