Question

What are three common use cases for Kinesis Analytics?

A) Real-time data analytics, anomaly detection, and IoT data processing
B) Video streaming, weather forecasting, and social media analysis
C) Database management, email marketing, and e-commerce
D) Game development, machine learning, and image recognition

Answer 1

Three common use cases for Kinesis Analytics are real-time data analytics, anomaly detection, and IoT data processing.

Step-by-step explanation:

Three common use cases for Kinesis Analytics are:

1. Real-time data analytics: Kinesis Analytics can process and analyze streaming data in real time, allowing businesses to gain insights and make data-driven decisions instantly.
2. Anomaly detection: Kinesis Analytics can identify abnormal patterns or behavior in data streams, helping businesses detect and respond to potential issues or threats.
3. IoT data processing: Kinesis Analytics can efficiently handle and analyze large volumes of data generated by Internet of Things (IoT) devices, enabling businesses to derive valuable insights.