{"id":20888,"date":"2024-09-19T20:41:54","date_gmt":"2024-09-20T02:41:54","guid":{"rendered":"http:\/\/www.designandexecute.com\/designs\/?p=20888"},"modified":"2024-12-17T09:17:57","modified_gmt":"2024-12-17T15:17:57","slug":"interview-questions-for-apache-kafka","status":"publish","type":"post","link":"https:\/\/www.designandexecute.com\/designs\/interview-questions-for-apache-kafka\/","title":{"rendered":"Interview Questions for Apache Kafka"},"content":{"rendered":"\n<p>Interview questions for Apache Kafka can vary depending on the role, but they typically focus on Kafka&#8217;s architecture, use cases, and practical troubleshooting. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Kafka Architecture<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What is Apache Kafka? How does it work?<\/strong><\/li><li>Purpose: To assess a candidate&#8217;s understanding of Kafka&#8217;s fundamental purpose and architecture.<\/li><li><strong>Explain the role of a Kafka producer and a Kafka consumer.<\/strong><\/li><li>Purpose: To gauge knowledge of Kafka\u2019s core components.<\/li><li><strong>What are Kafka brokers and clusters? How do they function together?<\/strong><\/li><li>Purpose: Tests understanding of how Kafka distributes data.<\/li><li><strong>What is a partition in Kafka, and why is it important?<\/strong><\/li><li>Purpose: To assess the candidate&#8217;s understanding of scalability and fault-tolerance in Kafka.<\/li><li><strong>How does Kafka ensure message ordering and consistency across partitions?<\/strong><\/li><li>Purpose: Assesses the candidate\u2019s understanding of message integrity in distributed systems.<\/li><li><strong>Explain the concept of a Kafka topic. How do producers and consumers interact with topics?<\/strong><\/li><li>Purpose: To see if the candidate understands how data is organized.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Kafka Internals<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What is the role of Zookeeper in a Kafka cluster?<\/strong><\/li><li>Purpose: Kafka relies on Zookeeper for management. This tests the candidate\u2019s understanding of Zookeeper\u2019s role.<\/li><li><strong>How does Kafka ensure fault tolerance and high availability?<\/strong><\/li><li>Purpose: To assess knowledge of Kafka\u2019s replication strategy and failover mechanisms.<\/li><li><strong>What is Kafka\u2019s ISR (In-Sync Replica) and how does it work?<\/strong><\/li><li>Purpose: To evaluate the understanding of replication and leader-follower relationships.<\/li><li><strong>Can you explain Kafka\u2019s log retention policy? How do you configure it?<\/strong><\/li><li>Purpose: Tests understanding of data retention and durability in Kafka.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Kafka Performance Tuning<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>How do you optimize Kafka performance? What configurations can improve throughput?<\/strong><\/li><li>Purpose: To gauge knowledge on tuning Kafka for high performance.<\/li><li><strong>What factors influence Kafka throughput and latency?<\/strong><\/li><li>Purpose: To assess understanding of performance bottlenecks.<\/li><li><strong>How do you handle large messages in Kafka, and what challenges might arise?<\/strong><\/li><li>Purpose: Tests knowledge of Kafka&#8217;s message handling limitations and potential solutions.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Kafka Data Durability and Reliability<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>How does Kafka ensure data durability?<\/strong><\/li><li>Purpose: To assess knowledge of how Kafka persists data to disk.<\/li><li><strong>What is the difference between &#8216;at-most-once,&#8217; &#8216;at-least-once,&#8217; and &#8216;exactly-once&#8217; semantics in Kafka?<\/strong><\/li><li>Purpose: To test the candidate&#8217;s understanding of Kafka&#8217;s delivery guarantees.<\/li><li><strong>How does Kafka handle message delivery failures?<\/strong><\/li><li>Purpose: To understand knowledge of retries and acknowledgment mechanisms.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Kafka Producers and Consumers<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>How does Kafka ensure message reliability for producers?<\/strong><\/li><li>Purpose: To assess the understanding of acknowledgment mechanisms for producers.<\/li><li><strong>How does Kafka ensure consumer reliability and fault-tolerance?<\/strong><\/li><li>Purpose: To test knowledge of Kafka consumer groups and partition assignment.<\/li><li><strong>Explain how Kafka manages consumer offsets. How do you ensure accurate offset management?<\/strong><\/li><li>Purpose: Tests understanding of how Kafka tracks what consumers have read.<\/li><li><strong>What is a consumer group in Kafka, and why is it useful?<\/strong><\/li><li>Purpose: To assess the understanding of scaling consumption.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Kafka Connect and Streaming APIs<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What is Kafka Connect? How does it work?<\/strong><\/li><li>Purpose: To evaluate knowledge of Kafka\u2019s ecosystem for integrating with external systems.<\/li><li><strong>Explain the difference between Kafka Streams and Kafka Consumer APIs.<\/strong><\/li><li>Purpose: To assess knowledge of Kafka\u2019s real-time stream processing capabilities.<\/li><li><strong>What are some common use cases for Kafka Streams?<\/strong><\/li><li>Purpose: Tests understanding of Kafka&#8217;s stream processing applications.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. Kafka Security<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>How can you secure a Kafka cluster?<\/strong><\/li><li>Purpose: To assess knowledge of Kafka\u2019s security features such as SSL\/TLS, authentication, and authorization.<\/li><li><strong>What is the role of SASL in Kafka, and how do you configure it?<\/strong><\/li><li>Purpose: Tests knowledge of securing Kafka communication.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. Kafka Troubleshooting<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What would you do if a Kafka consumer is reading too slowly?<\/strong><\/li><li>Purpose: To assess problem-solving skills regarding consumer lag.<\/li><li><strong>What are common reasons for Kafka producer failures, and how would you handle them?<\/strong><\/li><li>Purpose: Tests knowledge of troubleshooting Kafka producer issues.<\/li><li><strong>How do you handle Kafka broker failures? What are the recovery strategies?<\/strong><\/li><li>Purpose: To evaluate the candidate\u2019s understanding of failure recovery in Kafka.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. Kafka Use Cases and Practical Scenarios<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>How would you design a Kafka solution for real-time log processing?<\/strong><\/li><li>Purpose: To test knowledge of applying Kafka in real-world scenarios.<\/li><li><strong>How would you integrate Kafka with a database? What considerations would you make?<\/strong><\/li><li>Purpose: To assess the candidate\u2019s experience with integrating Kafka with other systems.<\/li><li><strong>What is the best way to scale a Kafka cluster?<\/strong><\/li><li>Purpose: To evaluate knowledge of scaling Kafka for high throughput and availability.<\/li><\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Advanced Kafka Topics<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>What are the differences between Kafka and traditional messaging systems (e.g., RabbitMQ, ActiveMQ)?<\/strong><\/li><li>Purpose: To assess knowledge of Kafka&#8217;s unique advantages.<\/li><li><strong>Explain how Kafka\u2019s Exactly Once Semantics (EOS) work.<\/strong><\/li><li>Purpose: To gauge an understanding of Kafka\u2019s most complex data consistency feature.<\/li><li><strong>What is Kafka\u2019s role in event-driven microservices architectures?<\/strong><\/li><li>Purpose: Tests understanding of Kafka in modern system design.<\/li><\/ul>\n\n\n\n<p>These questions range from basic to advanced, covering a broad spectrum of topics. Make sure to ask questions based on the interviewee&#8217;s experience level and the specific role requirements.<\/p>\n\n\n\n<p>Here\u2019s a structured and detailed explanation addressing each of the <strong>Apache Kafka<\/strong> interview questions. This will provide comprehensive answers for preparation:<\/p>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Kafka Architecture<\/strong><\/h3>\n\n\n\n<p><strong>What is Apache Kafka? How does it work?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming applications.<\/li><li>Kafka allows applications to publish (write) and subscribe to (read) streams of records in a fault-tolerant and scalable manner.<\/li><li>Kafka works as a distributed commit log where data is stored in topics, partitioned across brokers, and replicated for reliability. Producers write data to topics, and consumers read data from topics.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>Explain the role of a Kafka producer and a Kafka consumer.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Kafka Producer:<\/strong> Publishes records (messages) to Kafka topics. Producers can write to specific partitions or use a partitioning strategy (e.g., round-robin, key-based) to distribute messages.<\/li><li><strong>Kafka Consumer:<\/strong> Reads messages from Kafka topics. Consumers are part of consumer groups to ensure load balancing and parallel processing.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What are Kafka brokers and clusters? How do they function together?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Kafka Broker:<\/strong> A Kafka broker is a server that stores data (topics and partitions) and serves client requests (producers and consumers).<\/li><li><strong>Kafka Cluster:<\/strong> A cluster consists of multiple brokers that work together to distribute data and handle requests. Brokers share responsibility for partitions, and a leader broker for each partition handles reads and writes.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What is a partition in Kafka, and why is it important?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>A partition is a division of a Kafka topic that allows data to be split and stored across multiple brokers.<\/li><li><strong>Importance:<\/strong> Partitions ensure <strong>scalability<\/strong> (parallelism of reads\/writes) and <strong>fault tolerance<\/strong> (replication across brokers).<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>How does Kafka ensure message ordering and consistency across partitions?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka ensures message ordering <strong>within a partition<\/strong>. Messages with the same key are always written to the same partition and consumed in the order they were produced.<\/li><li>Across partitions, there is no global ordering; ordering is guaranteed only per partition.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>Explain the concept of a Kafka topic. How do producers and consumers interact with topics?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>A <strong>Kafka topic<\/strong> is a logical name for a stream of records (e.g., logs, metrics, events). Topics are divided into partitions for parallel processing.<\/li><li>Producers write messages to topics, and consumers subscribe to topics to read messages. Consumers can read data from partitions based on offsets.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Kafka Internals<\/strong><\/h3>\n\n\n\n<p><strong>What is the role of Zookeeper in a Kafka cluster?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Zookeeper is responsible for managing Kafka metadata, including:\n<ul><li>Broker registration and leader election.<\/li><li>Maintaining topic and partition configuration.<\/li><li>Keeping track of in-sync replicas (ISRs) and other cluster states.<\/li><li>Managing consumer offsets in earlier Kafka versions.<\/li><\/ul>\n<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>How does Kafka ensure fault tolerance and high availability?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka ensures fault tolerance by replicating partitions across brokers.<\/li><li>If a broker fails, a <strong>replica<\/strong> can become the new leader for the partition, ensuring availability.<\/li><li><strong>High availability<\/strong> is achieved by distributing replicas across different brokers.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What is Kafka\u2019s ISR (In-Sync Replica), and how does it work?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>ISR is a set of replicas (including the leader) that are fully caught up with the leader&#8217;s partition data.<\/li><li>If a follower replica lags, it is removed from the ISR. Kafka guarantees data durability by only acknowledging writes to the leader if all ISRs replicate the data.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>Can you explain Kafka\u2019s log retention policy? How do you configure it?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka retains messages in topics based on:\n<ul><li><strong>Time-based retention:<\/strong> E.g., delete messages older than 7 days (<code>log.retention.hours<\/code>).<\/li><li><strong>Size-based retention:<\/strong> Delete data once the topic exceeds a configured size (<code>log.retention.bytes<\/code>).<\/li><\/ul>\n<\/li><li>Logs can also be compacted to keep only the latest value for each key.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Kafka Performance Tuning<\/strong><\/h3>\n\n\n\n<p><strong>How do you optimize Kafka performance? What configurations can improve throughput?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Key optimizations:\n<ul><li>Adjusting batch sizes (<code>batch.size<\/code>).<\/li><li>Increasing compression (<code>compression.type<\/code>).<\/li><li>Tuning producer acks (<code>acks<\/code>).<\/li><li>Increasing partition counts for parallelism.<\/li><li>Optimizing hardware: I\/O, network, and CPU.<\/li><\/ul>\n<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What factors influence Kafka throughput and latency?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Factors include:\n<ul><li>Message size.<\/li><li>Number of partitions.<\/li><li>Broker hardware resources (CPU, disk).<\/li><li>Network bandwidth.<\/li><li>Configuration of producer acks and consumer prefetch sizes.<\/li><\/ul>\n<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>How do you handle large messages in Kafka, and what challenges might arise?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Use message compression (e.g., Snappy, Gzip).<\/li><li>Increase <code>fetch.max.bytes<\/code> and <code>message.max.bytes<\/code> configurations.<\/li><li>Challenges include network delays, broker memory pressure, and slower processing.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Kafka Data Durability and Reliability<\/strong><\/h3>\n\n\n\n<p><strong>How does Kafka ensure data durability?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka persists messages to disk immediately upon write.<\/li><li>Durability is ensured via replication. Leader brokers replicate messages to followers in the ISR.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What is the difference between \u2018at-most-once,\u2019 \u2018at-least-once,\u2019 and \u2018exactly-once\u2019 semantics in Kafka?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>At-most-once:<\/strong> Messages are delivered at most once (possible data loss).<\/li><li><strong>At-least-once:<\/strong> Messages are delivered at least once (duplicates possible).<\/li><li><strong>Exactly-once:<\/strong> Messages are delivered exactly once (Kafka achieves this using idempotent producers and transactions).<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>How does Kafka handle message delivery failures?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka retries sending messages based on producer configurations (<code>retries<\/code>).<\/li><li>Acks ensure messages are only acknowledged upon successful replication.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Kafka Producers and Consumers<\/strong><\/h3>\n\n\n\n<p><strong>How does Kafka ensure message reliability for producers?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>By using <strong>acks<\/strong>:\n<ul><li><code>acks=1<\/code>: Leader acknowledgment.<\/li><li><code>acks=all<\/code>: All ISRs must replicate the message before acknowledgment.<\/li><\/ul>\n<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>How does Kafka ensure consumer reliability and fault-tolerance?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka uses <strong>consumer groups<\/strong> and offsets. If a consumer fails, Kafka reassigns partitions to other consumers in the group.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>Explain how Kafka manages consumer offsets. How do you ensure accurate offset management?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka stores offsets in internal topics (<code>__consumer_offsets<\/code>).<\/li><li>Offsets can be auto-committed (default) or manually managed for accuracy.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>What is a consumer group in Kafka, and why is it useful?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>A consumer group is a set of consumers sharing the same group ID.<\/li><li>It enables parallel consumption and load balancing.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Kafka Connect and Streaming APIs<\/strong><\/h3>\n\n\n\n<p><strong>What is Kafka Connect? How does it work?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka Connect is a framework for integrating Kafka with external systems using <strong>connectors<\/strong>. It can run in standalone or distributed mode.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<p><strong>Explain the difference between Kafka Streams and Kafka Consumer APIs.<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka Streams: A library for building real-time processing pipelines (stateful).<\/li><li>Consumer APIs: Lower-level API to consume messages directly.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. Kafka Security<\/strong><\/h3>\n\n\n\n<p><strong>How can you secure a Kafka cluster?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Use <strong>SSL\/TLS<\/strong> for encryption, <strong>SASL<\/strong> for authentication, and ACLs for authorization.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. Kafka Troubleshooting<\/strong><\/h3>\n\n\n\n<p><strong>What would you do if a Kafka consumer is reading too slowly?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Check for consumer lag. Optimize batch sizes and processing logic.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. Kafka Use Cases and Practical Scenarios<\/strong><\/h3>\n\n\n\n<p><strong>How would you design a Kafka solution for real-time log processing?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Use producers to send logs to Kafka topics. Consumers process logs in real time.<\/li><\/ul>\n\n\n\n<hr class=\"wp-block-separator\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Advanced Kafka Topics<\/strong><\/h3>\n\n\n\n<p><strong>What are the differences between Kafka and traditional messaging systems (e.g., RabbitMQ, ActiveMQ)?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Kafka is designed for high throughput, fault-tolerance, and scalability using distributed logs, whereas RabbitMQ focuses on message queuing with richer routing.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-embed-wordpress wp-block-embed is-type-wp-embed is-provider-devopsschool-com\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"KTFrq09YD2\"><a href=\"https:\/\/www.devopsschool.com\/blog\/top-50-interview-questions-and-answers-of-apache-kafka\/\">Top 50 interview questions and answers of Apache Kafka<\/a><\/blockquote><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Top 50 interview questions and answers of Apache Kafka&#8221; &#8212; DevOpsSchool.com\" src=\"https:\/\/www.devopsschool.com\/blog\/top-50-interview-questions-and-answers-of-apache-kafka\/embed\/#?secret=wtz02yJiSc#?secret=KTFrq09YD2\" data-secret=\"KTFrq09YD2\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Interview questions for Apache Kafka can vary depending on the role, but they typically focus on Kafka&#8217;s architecture, use cases, and practical troubleshooting. 1. Kafka Architecture What is Apache Kafka? How does it work? Purpose: To assess a candidate&#8217;s understanding of Kafka&#8217;s fundamental purpose and architecture. Explain the role of a Kafka producer and a [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":20889,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[],"class_list":["post-20888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-data-warehouse"],"jetpack_featured_media_url":"https:\/\/www.designandexecute.com\/designs\/wp-content\/uploads\/2024\/09\/apache-kafka.jpg","_links":{"self":[{"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/posts\/20888","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/comments?post=20888"}],"version-history":[{"count":2,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/posts\/20888\/revisions"}],"predecessor-version":[{"id":21455,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/posts\/20888\/revisions\/21455"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/media\/20889"}],"wp:attachment":[{"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/media?parent=20888"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/categories?post=20888"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.designandexecute.com\/designs\/wp-json\/wp\/v2\/tags?post=20888"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}