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A company runs game applications on AWS.

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A company runs game applications on AWS. The company needs to collect, visualize, and analyze telemetry data from the company's game servers. The company wants to gain insights into the behavior, performance, and health of game servers in near real time. Which solution will meet these requirements?

A.

Use Amazon Kinesis Data Streams to collect telemetry data. Use Amazon Managed Service for Apache Flink to process the data in near real time and publish custom metrics to Amazon CloudWatch. Use Amazon CloudWatch to create dashboards and alarms from the custom metrics.

B.

Use Amazon Data Firehose to collect, process, and store telemetry data in near real time. Use AWS Glue to extract, transform, and load (ETL) data from Firehose into required formats for analysis. Use Amazon QuickSight to visualize and analyze the data.

C.

Use Amazon Kinesis Data Streams to collect, process, and store telemetry data. Use Amazon EMR to process the data in near real time into required formats for analysis. Use Amazon Athena to analyze and visualize the data.

D.

Use Amazon DynamoDB Streams to collect and store telemetry data. Configure DynamoDB Streams to invoke AWS Lambda functions to process the data in near real time. Use Amazon Managed Grafana to visualize and analyze the data.

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