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Kafka Streams Flashcards

6 cards from real Apache Kafka practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 6 Kafka Streams flashcards as text
  1. What type of library is Kafka Streams?

    Answer: A client-side Java library for stream processing, requiring no separate cluster

    Kafka Streams is a lightweight Java library embedded in your application — it uses Kafka topics as input/output and needs no additional infrastructure.

  2. What is a KStream in Kafka Streams?

    Answer: An unbounded sequence of individual key-value records (changelog stream)

    A KStream represents a continuous, unbounded stream of key-value records where each record is an independent event.

  3. What is a KTable in Kafka Streams?

    Answer: A changelog stream interpreted as a table where each record is an upsert by key

    A KTable models a mutable table backed by a changelog topic; each new record with an existing key updates (upserts) the current value for that key.

  4. Which method is used to materialize a KTable into a queryable local state store?

    Answer: Materialized.as()

    Materialized.as() specifies a named state store backed by RocksDB where the KTable's data is accessible for interactive queries.

  5. What is the default state store backend used by Kafka Streams for persistent state?

    Answer: RocksDB

    Kafka Streams uses RocksDB as its default embedded persistent key-value store for local state in aggregations and joins.

  6. What does a 'stream-table join' in Kafka Streams do?

    Answer: Enriches each stream record with the current table value for the matching key

    A stream-table join looks up the latest KTable value for a record's key and enriches the stream record with that value in real time.

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