Batch & Stream processing

Question 1

Define batch processing.

Answer 1

A method of processing data in large groups or batches at scheduled intervals.

Question 2

What is stream processing?

Answer 2

The continuous input, processing, and output of data in real-time.

Question 3

True or false: Lambda architecture combines batch and stream processing.

Answer 3

TRUE

It allows for both real-time and historical data processing.

Question 4

Fill in the blank: Kappa architecture simplifies the _______ architecture.

Answer 4

Lambda

Question 5

What is the main advantage of stream processing?

Answer 5

It enables real-time analytics and immediate insights from data.

Question 6

Define event time in stream processing.

Answer 6

The time at which an event occurred, as opposed to when it was processed.

Question 7

What does windowing refer to in stream processing?

Answer 7

The technique of grouping events into finite chunks for processing.

Question 8

True or false: Micro-batching is a form of batch processing.

Answer 8

TRUE

It processes data in small batches at short intervals.

Question 9

What is a data lake?

Answer 9

A centralized repository that stores structured and unstructured data at scale.

Question 10

Fill in the blank: Apache Kafka is commonly used for _______ processing.

Answer 10

stream