Streaming Frameworks and Delivery Semantics
This question assesses your understanding of distributed stream processing systems and their fundamental delivery guarantees.
Part 1: Streaming Frameworks
Identify and briefly describe popular streaming and data-processing frameworks. Examples include Kafka-based stacks, Apache Flink, and Apache Spark Streaming.
Part 2: Delivery Semantics
Explain the concepts of at-most-once, at-least-once, and exactly-once processing/delivery semantics in the context of distributed systems. For each semantic, you should cover:
- The guarantees it provides regarding message delivery and processing.
- Typical implementation techniques used to achieve these guarantees.
- The inherent trade-offs associated with adopting each semantic.
AI interview prep
Core dilemma
Balancing the strictness of data integrity guarantees (no loss, no duplication) with the performance, latency, and operational complexity costs in distributed stream processing systems.
3 tradeoffs and 2 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Streaming Frameworks and Delivery Semantics
This question assesses your understanding of distributed stream processing systems and their fundamental delivery guarantees.
Part 1: Streaming Frameworks
Identify and briefly describe popular streaming and data-processing frameworks. Examples include Kafka-based stacks, Apache Flink, and Apache Spark Streaming.
Part 2: Delivery Semantics
Explain the concepts of at-most-once, at-least-once, and exactly-once processing/delivery semantics in the context of distributed systems. For each semantic, you should cover:
- The guarantees it provides regarding message delivery and processing.
- Typical implementation techniques used to achieve these guarantees.
- The inherent trade-offs associated with adopting each semantic.