Event streaming concept in Kafka - Cheat Sheet & Quick Revision

Recall & Review

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What is event streaming?

Event streaming is a way to continuously send and process data as a flow of events in real time, like a river of information that apps can read and react to instantly.

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What is a Kafka topic?

A Kafka topic is like a named channel or folder where events (messages) are stored and organized so producers can send events and consumers can read them.

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Explain the role of a Kafka producer.

A Kafka producer is a program or service that creates events and sends them to a Kafka topic, like a person dropping letters into a mailbox.

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What does a Kafka consumer do?

A Kafka consumer reads events from a Kafka topic, like someone picking up letters from a mailbox to read and act on them.

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Why is event streaming useful in real life?

Event streaming helps apps react quickly to new data, like updating a live sports score or tracking a package in real time, making systems faster and more responsive.

What is the main purpose of a Kafka topic?

A To create new events automatically

B To process data inside the Kafka server

C To delete old events immediately

D To store and organize events for producers and consumers

A Kafka topic acts as a storage and organization place for events sent by producers and read by consumers.

Who sends events to a Kafka topic?

A Kafka consumer

B Kafka producer

C Kafka broker

D Kafka cluster

Kafka producers are responsible for creating and sending events to topics.

What does a Kafka consumer do with events?

A Reads and processes them

B Deletes them from the topic

C Sends them to producers

D Stores them permanently

Kafka consumers read events from topics and process them as needed.

Event streaming is best described as:

A Batch processing of data once a day

B Sending emails to users

C Continuous flow of data events in real time

D Storing data in a database

Event streaming means data flows continuously as events, allowing real-time processing.

Which of these is a real-life example of event streaming?

A Getting live updates on a sports game

B Checking your bank balance once a month

C Watching a recorded movie

D Printing a document

Live sports updates show event streaming by delivering data instantly as events happen.

Describe the main components involved in event streaming with Kafka and their roles.

Think about who sends events, where events are stored, and who reads them.

Explain why event streaming is important for modern applications.

Consider how apps use fresh data quickly to improve user experience.