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Answer: Amazon Kinesis, consider the choice of Kinesis streams or Kinesis Data Firehose for real-time data ingestion and processing.
Option D is the most appropriate choice for this scenario. Amazon Kinesis is a fully managed service designed for real-time data processing. By choosing between Kinesis streams and Kinesis Data Firehose, you can ingest and process data in real-time. When optimizing the service for real-time processing, consider the data ingestion rate, partition keys, and throughput requirements. Additionally, you can use Kinesis Data Analytics to run real-time analytics on the streaming data using SQL or Apache Flink applications.
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Your company is planning to implement a data transformation service that can handle real-time data processing. Which AWS service would you recommend, and what are the key considerations for optimizing the service for real-time processing?
A
Amazon EMR, consider the choice of cluster instance types and the number of nodes.
B
Amazon ECS, consider the choice of container instance types and the number of containers.
C
AWS Lambda, consider the function's memory allocation and timeout settings.
D
Amazon Kinesis, consider the choice of Kinesis streams or Kinesis Data Firehose for real-time data ingestion and processing.
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