{"id":16054,"date":"2018-06-02T06:20:44","date_gmt":"2018-06-02T06:20:44","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16054"},"modified":"2018-06-02T06:20:44","modified_gmt":"2018-06-02T06:20:44","slug":"kafka-interview-questions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/kafka-interview-questions\/","title":{"rendered":"Top 50 Kafka Interview Questions and Answers"},"content":{"rendered":"<p>The popularity of <strong>Apache Kafka<\/strong>\u00a0is going high with ample job opportunities and career prospects in Kafka. Moreover, having Kafka knowledge in this era is a fast track to growth.<\/p>\n<p>So, in this article, &#8220;Most Popular Kafka Interview Questions and Answers&#8221; we have collected the frequently asked Apache Kafka Interview Questions with Answers for both experienced as well as freshers in Kafka Technology.<\/p>\n<p>Hence, if you are looking to attend an Apache Kafka interview, this is the right place to prepare well. This will help you to crack your Kafka interview successfully.<\/p>\n<h2>Best Apache Kafka Interview Questions and Answers<\/h2>\n<p>Here is the list of most prominent\u00a0Kafka Interview Questions as well as answers that may be asked by any Interviewer. So, keep learning till the end of the article &#8221; Kafka Interview Questions&#8221; to crack your interview in the first attempt.<\/p>\n<p><strong>Q.1\u00a0What is Apache Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Apache Kafka is a publish-subscribe open source message broker application. This messaging application was coded in \u201c<strong>Scala<\/strong>\u201d. Basically, this project was started by the Apache software. Kafka\u2019s design pattern is mainly based on the transactional logs design.<\/span><\/p>\n<p><span style=\"font-weight: 400\">For detailed understanding of Kafka, go through, <strong>Kafka Tutorial<\/strong><\/span><\/p>\n<p><strong>Q.2\u00a0Enlist the several components in Kafka.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The most important elements of Kafka are:<\/span><\/p>\n<div id=\"attachment_16243\" style=\"width: 510px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/components-in-Apache-Kafka.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16243\" class=\"wp-image-16243 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/components-in-Apache-Kafka.png\" alt=\"Kafka Interview Questions\" width=\"500\" height=\"455\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/components-in-Apache-Kafka.png 500w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/components-in-Apache-Kafka-150x137.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/components-in-Apache-Kafka-300x273.png 300w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><p id=\"caption-attachment-16243\" class=\"wp-caption-text\">Kafka Interview Questions- Components of Kafka<\/p><\/div>\n<ul>\n<li><strong> Topic \u2013 <\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Kafka Topic is the bunch or a collection of messages.<\/span><\/p>\n<ul>\n<li><strong> Producer \u2013 <\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">In Kafka, Producers issue communications as well as publishes messages to a Kafka topic.<\/span><\/p>\n<ul>\n<li><strong>Consumer \u2013 <\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Kafka Consumers subscribes to a topic(s) and also reads and processes messages from the topic(s).<\/span><\/p>\n<ul>\n<li><strong> Brokers \u2013<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">While it comes to manage storage of messages in the topic(s) we use Kafka Brokers.<\/span><\/p>\n<p><strong>Q.3\u00a0Explain the role of the offset.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> There is a sequential ID number given to the messages in the partitions what we call,\u00a0an offset. So, to identify each message in the partition uniquely, we use these offsets. <\/span><\/p>\n<p><strong>Q.4 What is a Consumer Group?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The concept of Consumer Groups is exclusive to Apache Kafka. Basically, every Kafka consumer group consists of one or more consumers that jointly consume a set of subscribed topics.<\/span><\/p>\n<p><strong>Q.5\u00a0What is the role of the ZooKeeper in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Apache Kafka is a distributed system is built to use Zookeeper. Although, Zookeeper\u2019s main role here is to build coordination between different nodes in a cluster. However, we also use Zookeeper to recover from previously committed offset if any node fails because it works as periodically commit offset.<\/span><\/p>\n<p><strong>Q.6\u00a0Is it possible to use Kafka without ZooKeeper?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> It is impossible to bypass Zookeeper and connect directly to the Kafka server, so the answer is no. If somehow, ZooKeeper is down, then it is impossible to service any client request.<\/span><\/p>\n<p><strong>Q.7\u00a0What do you know about Partition in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> In every Kafka broker, there are few partitions available. And, here each partition in Kafka can be either a leader or a replica of a topic. <\/span><\/p>\n<p><strong>Q.8\u00a0Why is Kafka technology significant to use?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> There are some advantages of Kafka, which makes it significant to use:<\/span><\/p>\n<div id=\"attachment_16245\" style=\"width: 510px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/advantages-of-Kafka.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16245\" class=\"wp-image-16245 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/advantages-of-Kafka.png\" alt=\"Kafka Interview Questions\" width=\"500\" height=\"395\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/advantages-of-Kafka.png 500w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/advantages-of-Kafka-150x119.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/advantages-of-Kafka-300x237.png 300w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><p id=\"caption-attachment-16245\" class=\"wp-caption-text\">Kafka Interview Questions &amp; Answers- Advantages of Apache Kafka<\/p><\/div>\n<ul>\n<li><strong> High-throughput<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">We do not need any large hardware in Kafka, because it is capable of handling high-velocity and high-volume data. Moreover, it can also support message throughput of thousands of messages per second.<\/span><\/p>\n<ul>\n<li><strong> Low Latency<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Kafka can easily handle these messages with the very low latency of the range of milliseconds, demanded by most of the new use cases.<\/span><\/p>\n<ul>\n<li><strong> Fault-Tolerant<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Kafka is resistant to node\/machine failure within a cluster.<\/span><\/p>\n<ul>\n<li><strong> Durability<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">As Kafka supports messages replication, so, \u00a0messages are never lost. It is one of the reasons behind durability.<\/span><\/p>\n<ul>\n<li><strong> Scalability<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Kafka can be scaled-out, without incurring any downtime on the fly by adding additional nodes.<\/span><\/p>\n<p><strong>Q.9\u00a0What are main APIs of Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Apache Kafka has 4 main APIs:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\">Producer API<\/span><\/li>\n<li><span style=\"font-weight: 400\">Consumer API<\/span><\/li>\n<li><span style=\"font-weight: 400\">Streams API<\/span><\/li>\n<li><span style=\"font-weight: 400\">Connector API<\/span><\/li>\n<\/ol>\n<p><strong>Q.10\u00a0What are consumers or users?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong>\u00a0Mainly, <strong>Kafka Consumer<\/strong> subscribes to a topic(s), and also reads and processes messages from the topic(s). Moreover, with a consumer group name, Consumers label themselves. <\/span><\/p>\n<p><span style=\"font-weight: 400\">In other words, within each subscribing consumer group, each record published to a topic is delivered to one consumer instance. Make sure it is possible that Consumer instances can be in separate processes or on separate machines.<\/span><\/p>\n<p><strong>Apache Kafka Interview Questions For Freshers.Q- 1, 2, 4, 7, 8, 9, 10<\/strong><\/p>\n<p><strong>Apache Kafka Interview Questions for Experience.Q- 3, 5, 6<\/strong><\/p>\n<h3>Tricky Kafka Interview Questions and Answers<\/h3>\n<p><strong>Q.11\u00a0Explain the concept of Leader and Follower.<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. In every partition of Kafka, there is one server which acts as the Leader, and none or more servers plays the role as a Followers.<\/span><\/p>\n<p><strong>Q.12 What ensures load balancing of the server in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. As the main role of the Leader is to perform the task of all read and write requests for the partition, whereas Followers passively replicate the leader. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Hence, at the time of Leader failing, one of the Followers takeover the role of the Leader. Basically, this entire process ensures load balancing of the servers.<\/span><\/p>\n<p><strong>Q.13 What roles do Replicas and the ISR play?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. Basically, a list of nodes that replicate the log is Replicas. Especially, for a particular partition. However, they are irrespective of whether they play the role of the Leader. <\/span><\/p>\n<p><span style=\"font-weight: 400\">In addition, ISR refers to In-Sync Replicas. On defining ISR, it is a set of message replicas that are synced to the leaders.<\/span><\/p>\n<p><strong>Q.14 Why are Replications critical in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. Because of Replication, we can be sure that published messages are not lost and can be consumed in the event of any machine error, program error or frequent software upgrades.<\/span><\/p>\n<p><strong>Q.15 If a Replica stays out of the ISR for a long time, what does it signify?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. Simply, it\u00a0implies that the Follower\u00a0cannot fetch data as fast as data accumulated by the Leader.<\/span><\/p>\n<p><strong>Q.16 What is the process for starting a Kafka server?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. It is the very important step to initialize the ZooKeeper server because Kafka uses ZooKeeper.So, the process for starting a Kafka server is:<\/span><br \/>\n<b>In order to start the ZooKeeper server: &gt; bin\/zookeeper-server-start.sh config\/zookeeper.properties<\/b><br \/>\n<b>Next, to start the Kafka server: &gt; bin\/kafka-server-start.sh config\/server.properties<\/b><\/p>\n<p><strong>Q.17 In the Producer, when does QueueFullException occur?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. whenever the <strong>Kafka Producer<\/strong> attempts to send messages at a pace that the Broker cannot handle at that time QueueFullException typically occurs. However, to collaboratively handle the increased load, users will need to add enough brokers, since the Producer doesn\u2019t block.<\/span><\/p>\n<p><strong>Q.18 Explain the role of the Kafka Producer API.<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. An API which permits an application to publish a stream of records to one or more Kafka topics is what we call Producer API.<\/span><\/p>\n<p><strong>Q.19 What is the main difference between Kafka and Flume?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. The main difference between Kafka and Flume are:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\"> \u00a0<strong>Types of tool<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\"><strong>Apache Kafka\u2013\u00a0<\/strong>As Kafka is a \u00a0general-purpose tool for both multiple producers and consumers.<\/span><br \/>\n<span style=\"font-weight: 400\"><strong>Apache Flume\u2013<\/strong> Whereas, Flume is considered as a special-purpose tool for specific applications.<\/span><\/p>\n<ul>\n<li><strong> Replication feature<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\"><strong>Apache Kafka\u2013<\/strong> \u00a0Kafka can replicate the events.<\/span><br \/>\n<span style=\"font-weight: 400\"><strong>Apache Flume-<\/strong> whereas, Flume does not replicate the events.<\/span><\/p>\n<p><strong>Q.20 Is Apache Kafka is a distributed streaming platform? if yes, what you can do with it?<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Ans. Undoubtedly, Kafka is a streaming platform. It can help:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\"> To push records easily<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Also, can store a lot of records without giving any storage problems<\/span><\/li>\n<li><span style=\"font-weight: 400\">Moreover, it can process the records as they come in<\/span><\/li>\n<\/ol>\n<p><strong>Apache Kafka Interview Questions For Freshers.Q- 11, 13, 14, 16, 17,18, 19<\/strong><\/p>\n<p><strong>Apache Kafka Interview Questions for Experience.Q- 12, 15, 20<\/strong><\/p>\n<h3>Logical Kafka Interview Questions<\/h3>\n<p><strong>Q. 21 What can you do with Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong>\u00a0It can perform in several ways, such as:<\/span><br \/>\n<span style=\"font-weight: 400\">&gt;&gt; In order to transmit data between two systems, we can build a real-time stream of data pipelines with it.<\/span><br \/>\n<span style=\"font-weight: 400\">&gt;&gt; Also, we can build a real-time streaming platform with Kafka, that can actually react to the data.<\/span><\/p>\n<p><strong>Q.22 What is the purpose of retention period in Kafka cluster?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> However, retention period retains all the published records within the Kafka cluster. It doesn\u2019t check whether they have been consumed or not. Moreover, the records can be discarded by using a configuration setting for the retention period. And, it results as it can free up some space.<\/span><\/p>\n<p><strong>Q.23 Explain the maximum size of a message that can be received by the Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The maximum size of a message that can be received by the Kafka is approx. 1000000 bytes.<\/span><\/p>\n<p><strong>Q.24 What are the types of traditional method of message transfer?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Basically, there are two methods of the traditional message transfer method, such as:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400\"> \u00a0<strong>Queuing:<\/strong> It is a method in which a pool of consumers may read a message from the server and each message goes to one of them.<\/span><\/li>\n<li><span style=\"font-weight: 400\"> \u00a0<strong>Publish-Subscribe:<\/strong> Whereas in Publish-Subscribe, messages are broadcasted to all consumers.<\/span><\/li>\n<\/ul>\n<p><strong>Q.25 What does ISR stand in Kafka environment?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> ISR refers to In sync replicas. These are generally classified as a set of message replicas which are synced to be leaders.<\/span><\/p>\n<p><strong>Q.26 What is Geo-Replication in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> For our cluster, Kafka MirrorMaker offers geo-replication. Basically, messages are replicated across multiple data centers or cloud regions, with MirrorMaker. <\/span><\/p>\n<p><span style=\"font-weight: 400\">So, it can be used in active\/passive scenarios for backup and recovery; or also to place data closer to our users, or support data locality requirements.<\/span><\/p>\n<p><strong>Q.27 Explain Multi-tenancy?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> We can easily deploy Kafka as a multi-tenant solution. However, by configuring which topics can produce or consume data, Multi-tenancy is enabled. Also, it provides operations support for quotas. <\/span><\/p>\n<p><strong>Q.28 What is the role of Consumer API?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> An API which permits an application to subscribe to one or more topics and also to process the stream of records produced to them is what we call Consumer API.<\/span><\/p>\n<p><strong>Q.29 Explain the role of Streams API?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> An API which permits an application to act as a stream processor, and also consuming an input stream from one or more topics and producing an output stream to one or more output topics, moreover, transforming the input streams to output streams effectively, is what we call Streams API.<\/span><\/p>\n<p><strong>Q.30 What is the role of Connector API?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> An API which permits to run as well as build the reusable producers or consumers which connect Kafka topics to existing applications or data systems is what we call the Connector API. <\/span><\/p>\n<p><strong>Apache Kafka Interview Questions For Freshers.Q- 21, 23, 25, 26, 27, 28, 29, 30<\/strong><\/p>\n<p><strong>Apache Kafka Interview Questions for Experience.Q- 24, 22<\/strong><\/p>\n<p><strong>Q.31 Explain Producer?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The main role of Producers is to publish data to the topics of their choice. Basically, its duty is to select the record to assign to partition\u00a0within the topic.<\/span><\/p>\n<p><strong>Q.32 Compare: RabbitMQ vs Apache Kafka<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> One of the Apache Kafka\u2019s alternative is RabbitMQ. So, let&#8217;s compare both:<\/span><br \/>\n<strong>i. Features<\/strong><br \/>\n<span style=\"font-weight: 400\">Apache Kafka\u2013 Kafka is distributed, durable and highly available, here the data is shared as well as replicated.<\/span><br \/>\n<span style=\"font-weight: 400\">RabbitMQ\u2013 There are no such features in RabbitMQ.<\/span><br \/>\n<strong>ii. Performance rate<\/strong><br \/>\n<span style=\"font-weight: 400\">Apache Kafka\u2013 To the tune of 100,000 messages\/second.<\/span><br \/>\n<span style=\"font-weight: 400\">RabbitMQ- In case of RabbitMQ, the performance rate is around 20,000 messages\/second.<\/span><\/p>\n<p><strong>Q.33 Compare: Traditional queuing systems vs Apache Kafka<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Let\u2019s compare Traditional queuing systems vs Apache Kafka feature-wise:<\/span><\/p>\n<ul>\n<li><strong> Messages Retaining<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Traditional queuing systems\u2013 It\u00a0deletes the messages just after\u00a0processing completion typically from the end of the queue.<\/span><br \/>\n<span style=\"font-weight: 400\">Apache Kafka\u2013 But in Kafka, messages persist even after being processed. That implies messages in Kafka don\u2019t get removed as consumers receive them.<\/span><\/p>\n<ul>\n<li><strong> Logic-based processing<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Traditional queuing systems\u2013Traditional queuing systems don&#8217;t permit to process logic based on similar messages or events.<\/span><br \/>\n<span style=\"font-weight: 400\">Apache Kafka\u2013 Kafka permits to process logic based on similar messages or events.<\/span><\/p>\n<p><strong>Q.34 Why Should we use Apache Kafka Cluster?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> In order to overcome the challenges of collecting the large volume of data, and analyzing the collected data we need a messaging system. Hence Apache Kafka came in the story. Its benefits are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It is possible to track web activities just by storing\/sending the events for real-time processes.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Through this, we can Alert as well as report the operational metrics.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, we can transform data into the standard format.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, it allows continuous processing of streaming data to the topics.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Due to its this wide use, it is ruling over some of the most popular applications like ActiveMQ, RabbitMQ, AWS etc.<\/span><\/p>\n<p><strong>Q.35 Explain the term \u201cLog Anatomy\u201d.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> We view log as the partitions. Basically, a data source writes messages to the log. One of the advantages is, at any time one or more consumers read from the log they select. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Here, below diagram shows a log is being written by the data source and the log is being read by consumers at different offsets.<\/span><\/p>\n<div id=\"attachment_16064\" style=\"width: 917px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16064\" class=\"wp-image-16064 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1.png\" alt=\"Kafka Interview Questions\" width=\"907\" height=\"517\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1.png 907w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1-150x86.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1-300x171.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Log-Anatomy-1-1-768x438.png 768w\" sizes=\"auto, (max-width: 907px) 100vw, 907px\" \/><\/a><p id=\"caption-attachment-16064\" class=\"wp-caption-text\">Kafka Interview Questions- Log Anatomy<\/p><\/div>\n<p><strong>Q.36\u00a0What is Data Log in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> As we know, messages are retained for a considerable amount of time in Kafka. Moreover, there is flexibility for consumers that they can read as per their convenience. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Although, there is a possible case that if Kafka is configured to keep messages for 24 hours and possibly that time consumer is down for time greater than 24 hours, then the consumer may lose those messages. <\/span><\/p>\n<p><span style=\"font-weight: 400\">However, still, we can read those messages from last known offset, but only at a condition that the downtime on part of the consumer is just 60 minutes. Moreover, on what consumers are reading from a topic Kafka doesn\u2019t keep state.<\/span><\/p>\n<p><strong>Q.37 Explain how to Tune Kafka for Optimal Performance.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> So, ways to tune Apache Kafka it is to tune its several components:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\"> Tuning Kafka Producers<\/span><\/li>\n<li><span style=\"font-weight: 400\">Kafka Brokers\u00a0Tuning\u00a0<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Tuning Kafka Consumers<\/span><\/li>\n<\/ol>\n<p><strong>Q.38 State Disadvantages of Apache Kafka.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Limitations of Kafka are:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\"> No Complete Set of Monitoring Tools<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Issues with Message Tweaking<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Not support wildcard topic selection<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Lack of Pace<\/span><\/li>\n<\/ol>\n<p><strong>Q.39 Enlist all Apache Kafka Operations.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Apache Kafka Operations are:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\"> Addition and Deletion of Kafka Topics<\/span><\/li>\n<li><span style=\"font-weight: 400\"> How to modify the Kafka Topics<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Distinguished Turnoff<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Mirroring Data between Kafka Clusters<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Finding the position of the Consumer<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Expanding Your Kafka Cluster<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Migration of Data Automatically<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Retiring Servers<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Datacenters<\/span><\/li>\n<\/ol>\n<p><strong>Q.40 Explain Apache Kafka Use Cases?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong>\u00a0Apache Kafka has so many use cases, such as:<\/span><\/p>\n<div id=\"attachment_16253\" style=\"width: 510px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-Kafka-Use-Cases.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16253\" class=\"wp-image-16253 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-Kafka-Use-Cases.png\" alt=\"Kafka Interview Question\" width=\"500\" height=\"324\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-Kafka-Use-Cases.png 500w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-Kafka-Use-Cases-150x97.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/Apache-Kafka-Use-Cases-300x194.png 300w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/a><p id=\"caption-attachment-16253\" class=\"wp-caption-text\">Kafka Interview Question- Use Cases of Kafka<\/p><\/div>\n<ul>\n<li><strong> Kafka Metrics<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It is possible to use Kafka for operational monitoring data. Also, to produce centralized feeds of operational data, it involves aggregating statistics from distributed applications.<\/span><\/p>\n<ul>\n<li><strong> Kafka Log Aggregation<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Moreover, to\u00a0gather logs from multiple services across an organization.<\/span><\/p>\n<ul>\n<li><strong> Stream Processing<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">While stream processing, Kafka\u2019s strong durability is very useful.<\/span><\/p>\n<p><strong>Apache Kafka Interview Questions For Freshers.Q- 31, 32, 33, 34, 38, 39, 40<\/strong><\/p>\n<p><strong>Apache Kafka Interview Questions for Experience.Q- 35, 36, 37<\/strong><\/p>\n<h3>Kafka Interview Questions Based on Features<\/h3>\n<p><strong>Q.41 Some of the most notable applications of Kafka.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Some of the real-time applications are:<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400\"> Netflix<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Mozilla<\/span><\/li>\n<li><span style=\"font-weight: 400\"> Oracle<\/span><\/li>\n<\/ol>\n<p><strong>Q.42 Features of Kafka Stream.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> Some best features of Kafka Stream are<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Kafka Streams are highly scalable and fault-tolerant.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Kafka deploys to containers, VMs, bare metal, cloud.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">We can say, Kafka streams are equally viable for small, medium, &amp; large use cases.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, it is fully in integration with Kafka security.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Write standard Java applications.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Exactly-once processing semantics.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, there is no need of separate processing cluster.<\/span><\/li>\n<\/ul>\n<p><strong>Q.43 What do you mean by Stream Processing in Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The type of processing of data continuously, real-time,\u00a0 concurrently, and in a record-by-record fashion is what we call Kafka Stream processing.<\/span><\/p>\n<p><strong>Q.44 What are the types of System tools?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> There are three types of System tools:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><strong>Kafka Migration Tool<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">It helps to migrate a broker from one version to another.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><strong>Mirror Maker<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Mirror Maker tool helps to offer to mirror of one Kafka cluster to another.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><strong>Consumer Offset Checker<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">For the specified set of Topics as well as Consumer Group, it shows Topic, Partitions, Owner.<\/span><\/p>\n<p><strong>Q.45 What are Replication Tool and its types?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> For the purpose of stronger durability and higher availability, \u00a0replication tool is available here. Its types are \u2212<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Create Topic Tool<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">List Topic Tool<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Add Partition Tool<\/span><\/li>\n<\/ul>\n<p><strong>Q.46 What is Importance of Java in Apache Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> For the need of the high processing rates that come standard on Kafka, <\/span><span style=\"font-weight: 400\">we can use java language<\/span><span style=\"font-weight: 400\">. Moreover, for Kafka consumer clients also, Java offers a good community support. So, we can say it is a right choice to implement Kafka in Java.<\/span><\/p>\n<p><strong>Q.47 State one best feature of Kafka<span style=\"font-family: Verdana, Geneva, sans-serif\">.<\/span><\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> The best feature of Kafka is \u201cVariety of Use Cases\u201d.<\/span><br \/>\n<span style=\"font-weight: 400\">It means Kafka is able to manage the variety of use cases which are\u00a0very common for a Data Lake. For Example log aggregation, web activity tracking, and so on.<\/span><\/p>\n<p><strong>Q.48 Explain the term \u201cTopic Replication Factor\u201d.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> It is very important to factor in topic replication while designing a Kafka system. Hence, if in any case, broker goes down its topics\u2019 replicas from another broker can solve the crisis. <\/span><\/p>\n<p><strong>Q.49\u00a0Explain some Kafka Streams real-time Use Cases.<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> So, the use cases are: <\/span><\/p>\n<ul>\n<li><strong> The New York Times<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">This company uses it to store and distribute, in real-time, published content to the various applications and systems that make it available to the readers. Basically, it uses Apache Kafka and the Kafka Streams both.<\/span><\/p>\n<ul>\n<li><strong>Zalando<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">As an ESB (Enterprise Service Bus) as the leading online fashion retailer in Europe Zalando uses Kafka. <\/span><\/p>\n<ul>\n<li><strong> LINE<\/strong><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Basically, to communicate to one another LINE application uses <strong>Apache Kafka<\/strong> as a central data hub for their services. <\/span><\/p>\n<p><strong>Q.50\u00a0What are Guarantees provided by Kafka?<\/strong><\/p>\n<p><span style=\"font-weight: 400\"><strong>Ans.<\/strong> They are:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The order will be same for both the Messages sent by a producer to a particular topic partition. That <\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Moreover, the consumer instance sees records in the order in which they are stored in the log.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Also, we can tolerate up to N-1 server failures, even without losing any records committed to the log.<\/span><\/li>\n<\/ul>\n<p><strong>Apache Kafka Interview Questions For Freshers.Q- 41, 42, 43, 44, 45, 47, 49<\/strong><\/p>\n<p><strong>Apache Kafka Interview Questions for Experience.Q- 46, 48<\/strong><\/p>\n<p>So, this was all about mostly asked Apache Kafka Interview Questions and Answers. Hope you like our explanation.<\/p>\n<h2>Conclusion: Kafka Interview Questions<\/h2>\n<p>Hence, you have learned best 50 Kafka Interview Questions with their answers. Also, you can refer several links, to learn the topics which are given in Kafka Interview Questions.<\/p>\n<p>Moreover, we\u00a0appreciate you to add more Kafka Interview Questions in the comments section if you have attended any Kafka interviews recently. Hope it helps to crack the Kafka interview.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The popularity of Apache Kafka\u00a0is going high with ample job opportunities and career prospects in Kafka. Moreover, having Kafka knowledge in this era is a fast track to growth. So, in this article, &#8220;Most&#46;&#46;&#46;<\/p>\n","protected":false},"author":5,"featured_media":16240,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[7889,16526,16528,16527,14923],"class_list":["post-16054","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-kafka","tag-kafka-interview-questions","tag-kafka-interview-questions-and-answers","tag-top-kafka-interview-questions","tag-top-kafka-questions","tag-tricky-kafka-interview-questions-and-answers"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Top 50 Kafka Interview Questions and Answers - DataFlair<\/title>\n<meta name=\"description\" content=\"Best Kafka Interview Questions &amp; Answers for freshers &amp; expierence,How to crack Kafka Interview, interview question of Apache Kafka for Kafka developer jobs\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/kafka-interview-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 50 Kafka Interview Questions and Answers - 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