A Kafka partition is an ordered log of records within a topic. Multiple partitions allow parallel consumption and horizontal scaling.
2 / 10
A Kafka 'consumer group' allows:
A consumer group enables parallel consumption: each partition is read by exactly one consumer in the group, allowing load-balanced processing.
3 / 10
A Kafka 'offset' represents:
An offset is a sequential ID for each record within a partition. Consumers commit offsets to track which messages have been processed.
4 / 10
What does 'log compaction' in Kafka do?
Log compaction ensures that Kafka retains at least the most recent value for each unique key, useful for event sourcing and state reconstruction.
5 / 10
Kafka Streams is:
Kafka Streams is a client library embedded in your application — it processes records from Kafka topics with stateful operations, windowing, and joins.
6 / 10
You're reviewing a pull request for a Kafka Streams application. The author has used the `KafkaStore` directly to write data without using a Kafka producer. What is the MOST likely reason for this?
Directly using `KafkaStore` bypasses Kafka's built-in producer/consumer mechanisms. This can lead to issues with message ordering, fault tolerance, and scalability that are core to Kafka Streams design. The correct approach is to use a Kafka Producer to ensure messages are reliably delivered into the topic.
7 / 10
A Slack message from your team lead reads: 'Let's get this event stream flowing! We need to increase our throughput by at least 20% and reduce latency.' Considering Kafka terminology, what does your team lead *most likely* be referring to?
The message highlights throughput and latency – key performance indicators (KPIs) for an event stream. In Kafka, 'throughput' refers to the volume of events processed per unit of time, while 'latency' is the delay between when an event is produced and when it's consumed. Optimizing these metrics is a primary goal in Kafka deployments.
8 / 10
You're debugging a Kafka Streams application and receive the following API response from the Kafka broker: `{"error": "Offset not available for topic 'my-events'"}`. What does this error MOST likely indicate?
This error signifies that the Kafka consumer group is not tracking its progress within the `my-events` topic. This often happens when the consumer group hasn't been initialized correctly, or if offsets aren't managed properly (e.g., through manual offset management instead of auto-offset reset). The consumer needs to be aware of which messages it has already processed.
9 / 10
What is the primary purpose of 'log compaction' in Kafka?
Log compaction is a feature that automatically deletes records from Kafka topics after they've been processed a certain number of times. This reduces the storage space used by older events and helps optimize performance for consumer groups, particularly when dealing with high-volume streams where consumers might repeatedly consume the same data.
10 / 10
Kafka Streams is fundamentally a _______ system designed to process real-time data streams using Apache Kafka as its core.
Kafka Streams is a stream processing library built on top of Kafka. It allows developers to build real-time applications by connecting Kafka topics, defining streaming topologies (dataflows), and executing those topologies using Kafka's distributed compute capabilities.
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