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100+ Kafka Interview Questions and Answers for 2025

ProjectPro

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! What are topics in Apache Kafka? A stream of messages that belong to a particular category is called a topic in Kafka.

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Data Engineering Weekly #221

Data Engineering Weekly

link] Gunnar Morling: What If We Could Rebuild Kafka From Scratch? KIP-1150 ("Diskless Kafka") is one of my most anticipated releases from Apache Kafka. link] Yuval Yogev: Making Sense of Apache Iceberg Statistics A rich metadata model is vital to improve query efficiency. and Lite 2.0)

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Kafka Listeners – Explained

Confluent

Put another way, courtesy of Spencer Ruport: LISTENERS are what interfaces Kafka binds to. Apache Kafka ® is a distributed system. When a client (producer/consumer) starts, it will request metadata about which broker is the leader for a partition—and it can do this from any broker. Is anyone listening? Brokers in the cloud (e.g.,

Kafka 101
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Databricks Delta Lake: A Scalable Data Lake Solution

ProjectPro

Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. This results in a fast and scalable metadata handling system.

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50 PySpark Interview Questions and Answers For 2025

ProjectPro

For input streams receiving data through networks such as Kafka , Flume, and others, the default persistence level setting is configured to achieve data replication on two nodes to achieve fault tolerance. MEMORY ONLY SER: The RDD is stored as One Byte per partition serialized Java Objects.

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Optimizing Kafka Streams Applications

Confluent

With the release of Apache Kafka ® 2.1.0, Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. In what follows, we provide some context around how a processor topology was generated inside Kafka Streams before 2.1, Kafka Streams topology generation 101.

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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. gradlew composeUp. The KSQL pipeline flow.

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