Kafka Interview Questions and Answers 2020

By Andrea

Last updated on Nov 17 2020

Kafka Interview Questions and Answers 2020

Most Commonly Asked Kafka Interview Questions and Answers 2020

 

Technology has truly revolutionized the entire world into something completely different. The world has a world on the ground of Technology.  In 21st century we can say that will live in a completely digitalised world and the entire credit for the digitalization of the world goes to the technological development. The primary goal of Technology was to make human life more efficient and effortless. After seeing the present scenario of technological development we can say that Technology has served its purpose. There are several jobs that are available in information technology sector as it is one of the hotspot chapters in every organisation.

There are multiple software developers that has been made a name for themselves in the 21st century. One of the world's biggest software developers in the field of information technology is Apache software foundation. The Apache software foundation has made several software functions or application for organisations to establish better functioning in the company in the best possible way. People in the 21st century and crazy about working under the name of Apache software as it is highly beneficial not only for that carry forward also and helps the professional to enhance their career in the best possible way. One of the most beneficial platforms which is highly in demand currently in the market which is known as Apache kafka. Apache kafka is basically an open-source stream processing software which is processed by Apache software foundation itself. The primary goal of Apache kafka is to provide a good amount of unified yet high throughout and low latency platform for handling different data and data types.

Apache kafka came into existence in 2011 and has been a great employment portal for a Lot of professionals.There are a lot of professional for building to work as a professional organisations but it is very important for it professional to understand the concepts of Apache kafka and the pattern of the kafka interview questions. Every interview panel member has a great knowledge about the usage of Apache kafka and he set the Apache kafka interview questions in such a manner to test the knowledge and skills of the professional. The reason why the Apache kafka interview questions when it is because the panel of judges want to check the eligibility of the professional working for the organisation. the Apache kafka interview questions are a combination of intellectual questions and also critical thinking questions check the complete knowledge and skills a professional has in the field of Apache kafka. if a professional answers all the Kafka interview questions correctly is more likely to get the job after clearing the eligibility criteria for the company.

Top Apache Kafka interview Questions

Here are the top Apache kafka interview questions which are very common among several organisations. It is advisable for professionals to actually have a good knowledge about sample Kafka interview questions as it would enhance the probability of them getting the job.

  1. What is Apache kafka?

Apache kafka is basically and open source messaging application. It came into existence in 2011 in the Apache software developing organisation. The primary goal of kafka More store conduct transactional login designs. and upgraded with the requirements of the upgradation in the market.

 

  1. Name the different components Apache kafka?

As we have known that Apache kafka is basically a messaging application which has an open source. So there are also several components of Apache kafka which allows it to function smoothly. The components of Apache kafka known as topic, producer, consumer and brokers. Topic is basically a collection of several messages in the open source. Give solutions component mainly issues communications as well as several publishers messages in the kafka topic. The consumer component is actually a subscription the several topics that are available for reading and sharing. brokers components mainly deals with managing the storage of messages.

 

  1. What is the role of offset in Apache kafka?

As Apache kafka an open source messaging application which allows readers to interact with the publishers with respect to a particular topic there are ID number provided two different messages according to their categorisation. As every different message is categorised on the basis of the use and user ground, the identification of every message is completely unique. This is where the offsets came into use as it helps in the identification of the right message which is beneficial for The reader.

 

  1. Who or what is a consumer group in Apache kafka?

The messages and data stored in Apache kafka is accessible to a lot of people who are willing to read or share a particular piece of message or data. This doesn't actually referred to as consumers in the term of Apache kafka. the entire concept of having a consumer group is very limited to Apache kafka itself as it includes more than one consumer who share similar interest about a subscribe topic. so it becomes easier for the group access any kind of particular requirement of a topic.

 

  1. What is a zookeeper and why is it used in kafka?

Apache kafka is an open source of messages and data which is available to be dose on the basis of their requirement and interest. Zookeeper in Apache kafka on the rotation of data and information which is stored in Apache kafka.  Zookeeper is built to sustainaby Grow and be used in the distributed system of Apache kafka. the primary rule is to build a proper coordination between the different nodes in a particular cluster of message. Every message in Apache kafka is particularly formed in form of coordinates and it is important for the zookeeper to connect the nodes of the cluster to ensure safety of the message auditor.  Zookeeper can also be used to recover previously committed offsets.

 

  1. Can a user use Apache kafka without zookeeper?

usage of Apache kafka without the zookeeper, the answer is no. for any user who is planning to use Apache kafka it is very important to bypass via zookeeper to ensure the proper connection in the kafka server. is this zookeeper is currently not in use it is impossible for the user to gain access to Apache kafka in any possible way.

 

  1. What do you understand by partition in Apache kafka?

when we use Apache kafka with the help of a broker we see that there are a few partitions that are available while using Apache kafka. As every message or or data which is stored in Apache kafka can be accessed by the user, loss of original data can also be caused in the kafka server. This is where partitions came into action as there are basically a replica of the original copy which is provided to the user. The partition is to ensure the safety of the data which is stored in the server.

 

  1. Why is the Apache kafka Technology considered to be significant while using?

as we have known that Apache kafka came into existence in 2011 and it has been widely spread all around The World because of its functionality and benefits. The reason why its spread around the world in such a small period of time is because of the different advantages which is provided by kafka which makes it more significant to use. The primary advantages which is experienced by a user while using Apache kafka is that it enhances the throughput, the latency is extremely low, it is fault tolerant, highly durable and it has scalability.

High throughput basically means experiencing great performing in a higher volume even without the usage of any kinds of large hardware. it also supports the usage of thousands of different messages in one particular second which makes it more convenient and beneficial for the user to access different topics. Lower latency means easily handle the messages at a very low latency range. Apache kafka is extremely fault-tolerant as it has the potential to resist any kind of node or machine failure. Apache kafka to be highly durable as the messages and never lost because of the usage of partitions. The partitions save the original or the leader data and provide the users with applicator which ensure that the authentic data is insecure. The best feature about Apache is that it could be easily pulled out without any downtime.

 

  1. What are the major APIs of Apache kafka?

Apache kafka primarily has four major API which are known as producer API, consumer API, streams API and connector API.

 

  1. Who do we refer as consumers or users in Apache kafka?

As we know that Apache kafka is actually a portal which consists of different topics and details in forms of message. Also it is noted that Apache kafka is an open source. So when we refer to as consumers we refer to as the users who referred the topics of messages as a reading source. Nikon ji mor sada uses who read and share the messages which are available in Apache kafka. There are  consumer groups have a similar interest and identical topics which makes it easier for categorisation of the topic and sharing it. The consumer group has described to a particular record or category of topics which is of their interest.

 

  1. What is the entire concept of leader and follower in kafka?

As we have known that the concept of partitions is very important in kafka as it protects the original data. But when in the partition the particular server in Apache kafka actually works as a leader and the other servers that are linked the leader link are known as follower servers

 

  1. What are the fundamentals of load balancing of the server in Apache kafka?

As we have understood that the entire functioning of writing a particular portion is divided into two phases of a leader and a follower. The role of a leader perform the task of reading and writing the request for the entire partition but there are certain movements are the leader fails to do his purpose. In scenarios as such one of the follower accept the rules and responsibilities of the leader. that moment of follower actually works as a leader and performs the entire responsibility of the leader. This is the process known as load balancing which does not allowed the entire partition to crash with the disability of the leader to perform his functions

 

  1. What are the roles of replicas and ISR play in kafka?

The complete leads of the different nodes that replicate the log are known as replicas. Replica plays a very crucial role in kafka as it works in protecting the leader file. In a particular partition, the replica is very important as it is the duplicate file of the leader file which consists of similar data and information. Replica is very important as it protects the loss of the leader file. The full form of ISR is in-sync replicas. in sync replicas are basically replicas of the leader data that have a direct synchronisation with the leaders.

 

  1. Why is the process of replication very important in kafka?

The complete process of replication of message is very important in Apache kafka. Replication in Apache is basically creating a copy of the primary message. the only goal of replication Apache kafka used to prevent the loss of the principal message. When the principal message is lost it is impossible for Apache kafka to recover the last message. So the replication process works as a backup for Apache kafka as it protects the principal file against any kinds of loss.

 

  1. What does it signify out of the ISR for a very long time?

If  the replica stays out of highest are for a long time it is very simple to understand that the following does not fetch the data with equivalent speed of the leader. The leader accumulates different forms of messages or data in kafka at a greater speed but when the follower fails to match up to the speed of the leader a lot of replicas are completely out of the ISR.

 

  1. What is the entire process of starting a kafka server?

As understood that the captain is a very crucial part of the Apache kafka network as it consists of data messages which  are very important to the users. There is a particular process through which zookeeper server can be initiated as kafka is directly related to the usage of zookeeper. Soso the entire process to start a kafka server is by selecting a zookeeper server and then moving on to selecting a kafka server and then using certain formulation to initiate the kafka sever.

The entire formulation isbin/zookeeper-server-start.sh config/zookeeper.properties

Next, to start the Kafka server: > bin/kafka-server-start.sh config/server.properties

 

  1. when does aQueueFullException occur in the producer?

in case there is a continuous process that goes on between the producer and the broker where they exchange messages and topics with the help of the kafka server. But there are situations when the broker feels to manage with a speed of topics provided by the producer. Institutions like that queue full exception usually occurs. But to tackle situations a search that has been a solution. The Kafka has no restriction in the number of brokers so the number of brokers in the server has also been increased to tackle the situation as such.

 

  1. What is the role of the kafka producer API?

As you know that the primary goal of a producer in Apache kafka is to provide the topics and data editor the brokers for the readers. But an API is basically what allows the publisher to provide a stream record which consists of mini kafka-topics

 

  1. What are the basic differences one would observe between kafka and flume?

Kafka and flume are basically the two different software which come from the same software developer which is Apache. But differentiating between the two softwares is pretty much not so difficult job. We can differentiate between kafka and flume on two grounds which is types of tools and their application features. Apache kafka usual uses general purpose tools which are useful both for producers and consumers. But Apache flume consists of special or complex purpose tools for any kind of specific application. When you talk about the replication feature, Apache kafka has the potential and tools to replicate the events where as Apache flume does not have the potential to replicate any kind of events.

 

Advanced Kafka Interview Question and Answers

 

  1. Can we consider Apache kafka to be a distributed streaming platform?

A very simple answer to the question would be, that is the Apache kafka is actually an open source streaming platform which provides several messages consisting of different topics of the interest of the user. There are multiple users of The steaming platform as it helps to push the records more easily. Storage of multiple records in Apache kafka has never been an issue as there are no restrictions on the capacity of storage of records. this is extremely beneficial as the requirements of people is different and it can include different topics which can be needed by The reader. Also it is extremely easy to process the records as they come into the Apache kafka sector.

 

  1. What can a professional actually do with the usage of Apache kafka?

As we know that Apache is an open streaming platform which provides several topics for the readers to read and share. There are multiple ways to perform with the help of Apache kafka. It helps in data transmission between two systems efficiently. As it helps in building real-time stream, it is more your to transmit the data without any flaw. It also helps the user to build a real-time streaming platform with the help of Apache kafka which has a great reaction to the data and processing.

 

  1. What do we understand their retention periods in kafka cluster and why is it done?

The basic definition of retention period is that it is a period in which all the published data or records within the kafka cluster are retained. the retention period is a particular point of time that all the published records in the kafka cluster are completely retained from being published. The retention period all the are Costa also be discarded with the help of a configuration setting in the time of the retention period. The purpose of retention period is to understand the the data storage in the kafka server and to free up a little space in the server.

 

  1. What is the maximum size of a message which can be received in kafka?

as you know that there is a constant process of sending and receiving of messages between the producer and the broker. The maximum size of of a message with producer can send to a broker is 1000000 bytes.

 

  1. What are the different traditional methods that are available for message transferring in kafka?

when you talk about the traditional methods through which message were transferred in Apache kafka, we understand that there are two traditional methods which are known as Queuing and publish subscribe. Queuing is actually one of the most beneficial methods where there are multiple consumers who receive a message from the producer which they have already read directly from the server. But in the publish subscribe method, the messages well published and broadcasted to all the customers and they have to subscribe to have the accessibility to those messages.

 

  1. What do you understand by multi tenancy in Apache kafka?

Apache kafka can be easily deployed as a multi-tenant solution. Multi tenancy is basically performing of certain configuration switch a lot what topics can consume what amount of data. It is very important in Apache kafka as the different forms of messages and data which can consume a large amount of space. also provides operations support for the server.

These are the most common yet fundamental kafka interview questions with a professional might have to come across goal setting for an interview. The kafka interview questions always have a similar pattern in which they are made. It is advisable for the professional to understand the pattern and also study the sample kafka interview questions to enhance his probability of clearing the interview.

To explore certification programs in your field, chat with our experts, and find the certification that fits your career requirements. 

 

Suggested Reads:

Data Science vs Data Analytics vs Big Data - Detailed Explanation and Comparison

Big Data Guide - Benefits, Tools and Career Scope

 

About the Author

Sprintzeal   Andrea

Technical Content Writer with Experience in Creating Content for Data Science and Other Popular Domains.

Recommended Courses

Recommended Resources

Halloween Special-A Set of Most Demanded Certification Courses in Just USD 10

Halloween Special-A Set of Most Demanded Certification Courses in Just USD 10

Article


Lean methodology, Six Sigma methodology and Lean Six Sigma Explained

Lean methodology, Six Sigma methodology and Lean Six Sigma Explained

Article


business analyst career path in 2020

business analyst career path in 2020

Article


TRENDING NOW