Question 1

Describe an end-to-end data pipeline project you worked on, highlighting your role and the technologies used.

Accepted Answer

**Section 1 — The Context (The 'Why')**
This system faces scale and failure challenges at production. A naive approach breaks under load, loses data, or violates compliance. The primary challenge varies by domain: notifications need preference respect; banking needs ACID; pipelines need idempotency....

Question 2

Describe how Kafka ensures data durability and fault tolerance.

Accepted Answer

**Section 1 — The Context (The 'Why')**
This system faces scale and failure challenges at production. A naive approach breaks under load, loses data, or violates compliance. The primary challenge varies by domain: notifications need preference respect; banking needs ACID; pipelines need idempotency....

Question 3

Introduce your recent project, explaining its goal, architecture, tools, and technologies.

Accepted Answer

**Section 1 — The Context (The 'Why')**
The primary challenge in 'Introduce your recent project, explaining its goal, architecture, tools, and technologies.' centers on designing for production scale, correctness guarantees, and operational resilience. A naive or underspecified design fails under load: single points of failure cascade, non-idempotent operations cause duplicates on retry, and lack of observability blocks root-cause analysis....

Citi System Design Interview Questions

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Citi System Design Interview Questions

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