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…

Question

Options

• AUse Amazon Kinesis Data Streams to collect telemetry data. Use Amazon Managed Service for
• BUse Amazon Data Firehose to collect, process, and store telemetry data in near real time. Use
• CUse Amazon Kinesis Data Streams to collect, process, and store telemetry data. Use Amazon
• DUse Amazon DynamoDB Streams to collect and store telemetry data. Configure DynamoDB

• A
  82% (47)
• B
  5% (3)
• C
  2% (1)
• D
  11% (6)

Explanation

Amazon Kinesis Data Streams is designed for low-latency ingestion of streaming data. Combined with Amazon Managed Service for Apache Flink, telemetry can be processed and aggregated in near real time. Processed metrics can be sent to Amazon CloudWatch, which natively supports creating dashboards, metrics visualization, and alarms. Firehose (B) is primarily for batch ingestion and delivery, not real-time analytics. EMR with Athena (C) introduces more complexity and is better for large-scale offline analytics. DynamoDB Streams (D) is not a fit because telemetry data is not stored in DynamoDB. Therefore, option A provides the most suitable and real-time analytics pipeline for telemetry data.

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