1.
In which language is Kafka written?
Correct Answer
A. Scala
Explanation
Kafka is written in Scala. Scala is a programming language that runs on the Java Virtual Machine (JVM) and is known for its concise syntax and strong support for functional programming. Kafka, which is a distributed streaming platform, was initially developed at LinkedIn and later open-sourced. The choice of Scala as the language for Kafka's implementation was influenced by its compatibility with the JVM and its ability to handle the high-performance requirements of real-time data streaming.
2.
Which of the following can be referred to as a publish-subscribe messaging system?
Correct Answer
D. Kafka
Explanation
Kafka can be referred to as a publish-subscribe messaging system. Kafka is a distributed streaming platform that allows multiple producers to write data to multiple consumers in a publish-subscribe fashion. It provides a scalable and fault-tolerant architecture for real-time data streaming, making it suitable for use cases such as event sourcing, data pipelines, and real-time analytics. Kafka's publish-subscribe model allows messages to be broadcasted to multiple subscribers, enabling efficient and decoupled communication between different components of a system.
3.
What is referred to as a broker in Kafka?
Correct Answer
B. Server
Explanation
In Kafka, a broker refers to a server. A Kafka cluster consists of multiple brokers, each acting as a server that stores and manages the Kafka topics, partitions, and messages. The brokers are responsible for handling the publish and subscribe requests from clients, as well as replicating and distributing the data across the cluster. Therefore, the correct answer is Server.
4.
Which amongst the following is used to communicate between two nodes?
Correct Answer
B. Zookeeper
Explanation
Zookeeper is used to communicate between two nodes. Zookeeper is a centralized service that helps in maintaining configuration information, naming, providing distributed synchronization, and providing group services. It acts as a coordination service for distributed systems, allowing nodes to communicate and synchronize with each other. Therefore, Zookeeper is the correct answer for this question.
5.
What is the maximum message size a Kafka server can receive?
Correct Answer
A. 1,000,000 bytes
Explanation
The maximum message size a Kafka server can receive is 1,000,000 bytes.
6.
How many traditional methods of message transfer are available in Kafka?
Correct Answer
B. 2
Explanation
Kafka provides two traditional methods of message transfer. These methods include the producer-consumer model and the publish-subscribe model. In the producer-consumer model, messages are sent from a producer to one or more consumers. In the publish-subscribe model, messages are published to topics and then consumed by one or more subscribers. These two methods allow for flexible and scalable message transfer within Kafka.
7.
Queuing is a method of which of these?
Correct Answer
B. Traditional message transfer
Explanation
Queuing is a method used in traditional message transfer. It involves storing messages in a queue and processing them in the order they were received. This method ensures that messages are delivered reliably and in the correct sequence. Apache Kafka, Zookeeper, and Cluster are not specifically related to queuing, but rather serve different purposes in distributed systems.
8.
Which organization originally developed Kafka?
Correct Answer
B. Linkedln
Explanation
Linkedln is the correct answer because it was the organization that originally developed Kafka. Kafka was created by a team of engineers at Linkedln to handle their real-time data processing needs. It is a distributed streaming platform that is widely used for building real-time data pipelines and streaming applications.
9.
What major role does a Kafka Producer API play?
Correct Answer
D. It is responsible for covering two producers
10.
Why is replication necessary in Kafka?
Because it ensures that...
Correct Answer
A. A published message will not be lost
Explanation
Replication is necessary in Kafka because it ensures that a published message will not be lost. By replicating the data across multiple Kafka brokers, even if one broker fails, the data can still be accessed and consumed from other replicas. This provides fault tolerance and high availability, as it prevents data loss in case of failures or crashes.