Kafka Interview Questions

16 real Kafka questions asked in live technical interviews — each with a model answer. Updated weekly.

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You're tasked with building a real‑time data pipeline using Apache Kafka and Apache Spark. The pipeline needs to process 1 million events per second and write the results to a data warehouse. How would you design the pipeline and what technologies would you use?🔴 Hard · System Design · Asked 2×You're tasked with designing a distributed data processing system using Apache Spark and Apache Kafka that can process 10 million events per second and write the results to a data warehouse. How would you design the system and what technologies would you use?🔴 Hard · System Design · Asked 2×How do you ensure data consistency across multiple data sources in a distributed system like Apache Kafka?🟡 Medium · Conceptual · Asked 1×Describe the architecture of Kafka.🟡 Medium · Conceptual · Asked 1×Why do we use data partitioning? For example, when moving data into a data warehouse using Kafka, how does partitioning help?🟡 Medium · Conceptual · Asked 1×How would you design a real‑time data pipeline that ingests information from millions of users into a data warehouse using Kafka and a fan‑out architecture?🔴 Hard · System Design · Asked 1×We are putting Kafka and MSK streams into DynamoDB. We are facing challenges with windowing, window functions, and late-arriving data. How would you address these?🔴 Hard · Debugging · Asked 1×Write a Python function using Apache Spark Structured Streaming that reads messages from a Kafka topic, counts occurrences of each 'event_type' in real time, and writes the result to a BigQuery table. Handle connection and streaming errors gracefully.🔴 Hard · Coding · Asked 1×Count occurrences of each event type in real time, write the result to a BigQuery table, and handle connection and streaming errors.🟡 Medium · Coding · Asked 1×Write a Python function using Apache Spark Structured Streaming that reads messages from a Kafka topic.🟡 Medium · Coding · Asked 1×In Kafka, how can you evaluate schema changes from upstream so that adding or removing fields does not cause problems? Explain how backward and forward compatibility work and how to manage schema evolution without breaking downstream consumers.🟡 Medium · Conceptual · Asked 1×Have you worked with Kafka?🟢 Easy · Conceptual · Asked 1×Are there any other topics you would like to explore? We have covered Kafka, Spark, and some others.🟢 Easy · Other · Asked 1×If we store transaction details in Kafka and consume them later, even with partitioning, is that enough? How many resources will this consume?🟡 Medium · Conceptual · Asked 1×Suppose a user sends a money transfer transaction today. By the next second there will be 600,000 entries in the queue. After all those entries are processed, the system will listen to the transaction, but it doesn’t happen. How would you design the system to ensure immediate notification of transaction status to the sender and receiver?🔴 Hard · System Design · Asked 1×How have you implemented Kafka in a project?🟡 Medium · Behavioral · Asked 1×

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Kafka Interview Questions

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