Advanced~3h
Kafka & Streaming Systems in Data Engineering CoreInterview Readiness Check
Kafka architecture (topics, partitions, offsets, consumer groups), brokers and ZooKeeper/KRaft, exactly-once semantics, log compaction, Kafka Connect and Streams, Flink vs Spark Structured Streaming..
Kafkatopicpartitionoffsetconsumer groupFlinkSpark StreamingKafka ConnectKafka Streamslog compaction
Learning path
Try a sample question
What is a Kafka topic and how does partitioning relate to it?
A.A topic is a logical stream of records (like a DB table); partitions are the physical units that divide the topic for parallelism and distribution across brokers
B.A topic is a queue; partitions are individual messages within it
C.A topic is a Kafka broker; partitions are the topic's replicas
D.A topic is a consumer group; partitions are individual consumers
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of kafka & streaming systems fundamentals
- Trade-offs and design decisions in real system scenarios
- Kafka and topic — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Kafka & Streaming Systems check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Kafka & Streaming Systems check test?
- The check covers kafka architecture (topics, partitions, offsets, consumer groups), brokers and zookeeper/kraft, exactly-once semantics, log compaction, kafka connect and streams, flink vs spark structured streaming.. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Kafka & Streaming Systems?
- Key concepts include: Kafka, topic, partition, offset, consumer group, Flink, Spark Streaming, Kafka Connect, Kafka Streams, log compaction. These frequently appear in data engineering core interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Kafka & Streaming Systems?
- Most engineers spend around 3 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Kafka & Streaming Systems?
- Kafka & Streaming Systems builds on Streaming Fundamentals. Complete those first for the best results.
- Is Kafka, topic, partition covered?
- Yes. The Kafka & Streaming Systems module covers Kafka, topic, partition among other key concepts. The check includes questions that reflect real data engineering core interview patterns.