Top 11 Kafka Interview Questions & Answers [For Freshers]

 

Top 11 Kafka Interview Questions & Answers [For Freshers]

In the nine years due to the fact that its launch in 2011, Kafka has mounted itself as one of the maximum precious equipment for data processing inside the technological sphere. Airbnb, Goldman Sachs, Netflix, LinkedIn, Microsoft, Target and The New York Times are just a few agencies built on Kafka.

But what is Kafka? The easy solution to that would be — it's miles what helps an Uber driving force match with a potential passenger or help LinkedIn carry out thousands and thousands of actual-time analytical or predictable services. In short, Apache is a quite scalable, open-sourced, fault-tolerant allotted event streaming platform created via LinkedIn in 2011. It makes use of a commit log you may join, which can then be published on a number of streaming applications.

Its low latency, data integration and excessive throughput make a contribution to its developing reputation, so much so that an know-how in Kafka is taken into consideration to be a sparkling addition to a candidate’s resume and experts with a licensed qualification in it are in high demand today. This has additionally ended in an growth in task opportunities centered round Kafka.

In this manuscript, we have compiled a list of Kafka interview questions and answers which can be most probable to come back up for your subsequent interview session. You would possibly want to appearance those as much as brush up your information before you go in to your interview. So, here we go!

1. What is Apache Kafka?

Kafka is a unfastened, open-source statistics processing device created by way of Apache Software Foundation. It is written in Scala and Java, and is a allotted, real-time records store designed to procedure streaming records. It gives a high throughput running on a decent hardware.

When heaps of information assets constantly ship data information at the same time, streaming information is generated. To take care of this streaming data, a streaming platform would want to method this information both sequentially and incrementally while dealing with the non-forestall influx of records.

Kafka takes this incoming facts inflow and builds streaming records pipelines that manner and move records from device to gadget.

Functions of Kafka:

·        It is answerable for publishing streams of records statistics and subscribing to them

·        It handles effective garage of statistics streams inside the order that they're generated

·        It takes care of real-time days processing

Uses of Kafka:

·        Data integration

·        Real-time analytics

·        Real-time storage

·        Message dealer solution

·        Fraud detection

·        Stock buying and selling

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2. Why Do We Use Kafka?

Apache Kafka serves because the significant nervous system making streaming information available to all streaming applications (an utility that uses streaming records is referred to as a streaming application). It does so by using constructing actual-time pipelines of facts that are answerable for processing and shifting information between one-of-a-kind systems that need to use it.

Kafka acts as a message broker gadget among two programs by means of processing and mediating conversation.

It has a various variety of makes use of which encompass messaging, processing, storing, transportation, integration and analytics of actual-time statistics.

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