Kappa Architecture

Question 1

What is the Kappa architecture?

Answer 1

A real-time data processing architecture that eliminates the need for batch processing

Designed to handle scalable, fault-tolerant, and flexible real-time data processing.

Question 2

What is the primary processing layer in the Kappa architecture?

Answer 2

The stream layer

Also known as the speed layer.

Question 3

What are the main advantages of the Kappa architecture?

Answer 3

• Simplicity
• Reduced latency
• Scalability
• Lower costs

These advantages make Kappa architecture appealing for real-time data processing.

Question 4

What is the role of the stream layer in the Kappa architecture?

Answer 4

To collect, process, and store live streaming data

This layer handles incoming data in real-time.

Question 5

Which stream processing engines are commonly used in Kappa architecture?

Answer 5

• Apache Storm
• Apache Kinesis
• Apache Kafka
• Apache Flink

These engines facilitate the processing of streaming data.

Question 6

What is the function of the ingestion component in the stream layer?

Answer 6

To collect, gather, and preserve incoming data from various sources

Sources include APIs, sensors, and log files.

Question 7

What does the processing component of the stream layer do?

Answer 7

Processes incoming data in real-time and stores it in a distributed data store

Utilizes stream processing engines to manage large volumes of data.

Question 8

True or False: The Kappa architecture requires both batch and stream processing layers.

Answer 8

False

Kappa architecture only has a single stream processing layer.

Question 9

Fill in the blank: The Kappa architecture is designed to handle _______ processing.

Answer 9

[real-time]

Question 10

What types of data sources can the ingestion component collect data from?

Answer 10

• APIs
• Sensors
• Log files
• Others

The ingestion component is versatile in data collection.