1. Distributed Systems advanced

    Design the system that matches a rider request to a nearby driver. What are the hard parts?

    2 min answer uberdesignmatchinginterview
  2. Distributed Systems advanced

    DynamoDB has evolved through adaptive capacity, on-demand mode and global tables. Which failure mode did each address, and what does the sequence teach about designing partitioned systems?

    2 min answer awsdynamodbpartitioninghot-key
  3. Distributed Systems advanced

    Showing which users are currently online seems trivial and is one of the most expensive features in a chat product. Explain.

    2 min answer slackpresencefanoutcost
  4. Distributed Transactions advanced

    A stay booking spans payment authorisation, calendar reservation, host notification and a guest confirmation email. A distributed ACID transaction is not available. How do you order the steps and what do you do when a compensation fails?

    3 min answer sagacompensationairbnbbooking
  5. Distributed Transactions advanced

    A workflow succeeds in one service, then the next service crashes before recording the event. How do transactional outbox, durable queues, retries, idempotent consumers and reconciliation each contribute, and which of them is not optional?

    2 min answer temporaloutboxdurable-executionexactly-once
  6. Distributed Transactions advanced Multiple choice

    An order at extreme e-commerce scale must reserve inventory, charge payment, create the order and notify fulfilment - across four independently deployed services. Which transaction strategy fits?

    2 min answer distributed-transactionssagatwo-phase-commitalibaba
  7. Distributed Transactions advanced

    Placing an order must reserve stock, charge the card and create a shipment across three services. Design it, and justify why not a distributed transaction.

    2 min answer sagatransactionspivotcompensation
  8. Event Streaming advanced

    A ride-hailing platform must process billions of location and trip events per day, with per-trip ordering. Design the partitioning, consumer scaling and failure handling.

    3 min answer streamingkafkapartitioninguber
  9. Event Streaming advanced Multiple choice

    Consumer lag on a Kafka topic grows during peak and does not recover overnight. You add consumers and nothing improves. Why?

    2 min answer kafkapartitionsconsumer-groupslag
  10. Event Streaming advanced

    Design the event ingestion path for a recommendation platform receiving billions of interaction events daily, where the same events must feed real-time personalisation and offline model training. How should the pipeline be structured?

    3 min answer event-streamingingestionlambda-kappabytedance
  11. Failure Modes advanced

    A downstream service slows from 50 ms to 3 s. Within two minutes every service in the request path is down, including ones that do not call it. Explain the mechanism.

    2 min answer cascadingpoolslittle's-lawretries
  12. Failure Modes advanced

    A ride-hailing platform has a severe driver shortage in one region. Demand estimation, pricing, dispatch, queueing and driver incentives all interact. How do you prevent an unstable feedback loop?

    2 min answer olamarketplacefeedback-looppricing