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Answer: AWS Lambda, consider using AWS Lambda with Amazon Kinesis Triggers for real-time data processing.
Option C is the most appropriate choice for this scenario. AWS Lambda is a serverless compute service that can handle streaming data processing with low latency and high scalability. By using AWS Lambda with Amazon Kinesis Triggers, you can process real-time data streams from sources like Kinesis Data Streams or Kinesis Data Firehose. This approach eliminates the need to manage infrastructure and allows you to focus on processing the data. When processing streaming data, consider factors such as data ingestion rate, windowing and time management, fault tolerance, and output serialization.
Author: LeetQuiz Editorial Team
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Your company is planning to implement a data transformation service that can handle streaming data processing. Which AWS service would you recommend, and what are the key considerations for processing streaming data?
A
Amazon EMR, consider using Apache Kafka for real-time data ingestion and processing.
B
Amazon ECS, consider using containerized applications that can process streaming data using open-source frameworks like Apache Flink or Apache Beam.
C
AWS Lambda, consider using AWS Lambda with Amazon Kinesis Triggers for real-time data processing.
D
Amazon EKS, consider using Kubernetes operators for streaming data processing and leveraging the scalability of the Kubernetes platform.
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