Advanced~5h
Data Processing in System DesignInterview Readiness Check
Batch vs stream processing, Kafka, Spark, data pipelines, feature stores.
batchstreamingkafkasparketllambda-architectureflinkdata-pipeline
Learning path
Try a sample question
What is the difference between batch processing and stream processing?
A.Batch is for small data; stream is for large data
B.They are the same — just different marketing terms
C.Batch processes data in large chunks at scheduled intervals; stream processing processes data continuously as it arrives, event by event
D.Batch is synchronous; stream is asynchronous
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of data processing fundamentals
- Trade-offs and design decisions in real system scenarios
- batch and streaming — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Data Processing 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 Data Processing check test?
- The check covers batch vs stream processing, kafka, spark, data pipelines, feature stores. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Data Processing?
- Key concepts include: batch, streaming, kafka, spark, etl, lambda-architecture, flink, data-pipeline. These frequently appear in system design 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 Data Processing?
- Most engineers spend around 5 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 Data Processing?
- Data Processing builds on Databases and Message Queues. Complete those first for the best results.
- Is batch, streaming, kafka covered?
- Yes. The Data Processing module covers batch, streaming, kafka among other key concepts. The check includes questions that reflect real system design interview patterns.