Describe the Apache Kafka Queueing System and Architecture DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A company uses Kafka to stream user click events. They have two consumer groups: 'analytics' and 'realtime'. The 'analytics' group processes all events for batch analysis, while the 'realtime' group processes events for immediate recommendations. How does Kafka allow both groups to read the same topic independently?

   • AThe topic is duplicated for each consumer group.
   • BThe producer sends separate copies of each message to each consumer group.
   • CConsumers in different groups are automatically assigned different partitions.
   • DEach consumer group maintains its own offset, so they can read the same data independently.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A developer is writing a Kafka producer that sends order events to a topic. The producer is configured with `enable.idempotence=true`. What is the primary benefit of this configuration?

   • AIt guarantees that the producer will never experience a network error.
   • BIt ensures that all messages are written to the same partition.
   • CIt ensures that messages are delivered in the exact order they were sent.
   • DIt prevents duplicate messages from being written to the partition, even if the producer retries.
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   When a producer sends a message to a topic, what determines which partition the message is written to?

   • AThe broker with the least load at that moment.
   • BThe order in which the producer connects to brokers.
   • CThe message's key, if provided, or a round-robin strategy if no key is given.
   • DThe consumer group that will read the message.
   Reveal Solution Discussion Select an answer first
5. 4application · easy

   A Kafka topic has 6 partitions. A consumer group has 8 consumers. What will happen when the consumers try to subscribe to the topic?

   • ATwo consumers will be idle, and the remaining 6 will each get one partition.
   • BAll 8 consumers will be assigned at least one partition.
   • CThe topic will be re-partitioned to have 8 partitions.
   • DEach consumer will get a fraction of a partition.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   How does Kafka achieve fault tolerance for data stored in a topic partition?

   • ABy using a single broker with a large disk array.
   • BBy storing a full copy of every topic on every broker in the cluster.
   • CBy keeping all data in memory and never writing to disk.
   • DBy storing multiple copies of the partition on different brokers using replication.
   Reveal Solution Discussion Select an answer first