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A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage. The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes: --Managed AWS services to minimize operational complexity --A buffer that automatically scales to match the throughput of data and requires no ongoing administration. --A visualization tool to create dashboards to observe events in near-real time. --Support for semi-structured JSON data and dynamic schemas. Which combination of components will enable the company to create a monitoring solution that will satisfy these requirements? (Select TWO.)
A
Use Amazon Kinesis Data Firehose to buffer events. Create an AWS Lambda function to process and transform events.
B
Create an Amazon Kinesis data stream to buffer events. Create an AWS Lambda function to process and transform events.
C
Configure an Amazon Aurora PostgreSQL DB cluster to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
D
Configure Amazon Elasticsearch Service (Amazon ES) to receive events. Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards .
E
Configure an Amazon Neptune DB instance to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards