1. Event Streaming intermediate

    A downstream consumer has been failing for four days. Your event log retains three days. What happens?

    2 min answer kafkaretentiondata-lossmonitoring
  2. Event Streaming intermediate Multiple choice

    A platform processes billions of events per day and requires ordering per customer but not globally. How should partition keys and consumer groups deliver that without creating a serialisation bottleneck?

    2 min answer confluentkafkapartitioningordering
  3. 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
  4. 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
  5. 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
  6. Event Streaming intermediate Multiple choice

    You have 14 systems exchanging data through bespoke point-to-point pipelines. Adding a system means building integrations to six others. Propose an alternative.

    2 min answer linkedinkafkaintegrationcoupling