Understanding Apache Kafka Basics

What are the main components of Kafka architecture?

• Nodes, Queues, Producers, Consumers

• Servers, Clients, Messages, Streams

• Publishers, Subscriptions, Brokers, Topics

• Producers, Brokers, Topics, Partitions, Consumers, Zookeeper

Explain the concept of message serialization in Kafka.

• Message serialization in Kafka refers to the encryption of messages for security.

• Message serialization in Kafka is the method of indexing messages for faster retrieval.

• Message serialization in Kafka is the process of converting data into a byte stream for transmission.

• Message serialization in Kafka is the process of compressing data for storage.

What is a Kafka topic?

• A Kafka topic is a category or feed name for publishing and subscribing to messages.

• A Kafka topic is a hardware component.

• A Kafka topic is a programming language.

• A Kafka topic is a type of database.

What is the purpose of partitions in Kafka topics?

• To increase the size of the data stored in a topic.

• To limit the number of consumers that can read from a topic.

• To ensure that all messages are processed in a strict order.

• The purpose of partitions in Kafka topics is to enable scalability, parallel processing, and fault tolerance.

How does Kafka ensure message durability?

• Kafka compresses messages to ensure durability.

• Kafka uses in-memory storage for all messages.

• Kafka writes messages to disk and replicates them across brokers.

• Kafka sends messages to a single broker only.

How do consumer groups work in Kafka?

• Consumer groups ensure that all consumers receive every message from a topic.

• Consumer groups allow consumers to read messages from different topics simultaneously.

• Consumer groups enable multiple consumers to share the workload of reading messages from Kafka topics, ensuring each message is processed once.

• Consumer groups are used to store messages in Kafka for later retrieval.

What happens when a consumer fails in a consumer group?

• The consumer receives a warning but continues to operate.

• The partitions are reassigned to other active consumers in the group.

• The consumer is removed from the group permanently.

• The consumer's data is lost and cannot be recovered.

Explain the role of the Kafka broker.

• The Kafka broker is responsible for producing messages.

• The Kafka broker is a client application that processes data.

• The Kafka broker acts as a server that stores, manages, and serves messages in the Kafka system.

• The Kafka broker only handles message consumption.

What serialization formats are commonly used in Kafka?

• CSV

• YAML

• XML

• Avro, JSON, Protobuf

What is the purpose of the Kafka Zookeeper?

• To manage Kafka brokers and maintain metadata.

• To provide a user interface for Kafka management.

• To store user data for Kafka clients.

• To handle message encryption and decryption.