Which of the following statements about the interaction between Flink and other components is correct? (Multiple choice)

Question

Options

• AThe implementation of Flink's checkpoint depends on Zookeeper
• BFlink can send received components to Kafka
• CThe operation of Flink tasks depends on YARN for resource scheduling management
• DFlink reads and writes data in the HDFS file system

• A
  100% (51)

Explanation

All four options are correct because Flink is designed as an ecosystem-aware stream processing engine that integrates deeply with the broader big data stack.

A is correct because Flink relies on Zookeeper for distributed coordination in high-availability mode - specifically for JobManager leader election and storing checkpoint metadata so the cluster can recover from failures.

B is correct because Flink ships with native Kafka sink connectors (FlinkKafkaProducer), enabling it to write processed records back to Kafka topics, making it a natural fit in Kafka-centric pipelines.

C is correct because Flink supports YARN as a resource manager, where YARN's ResourceManager allocates containers for Flink's TaskManagers and JobManagers, just as it does for Spark or MapReduce jobs.

D is correct because Flink integrates with HDFS both for data I/O (reading source files, writing sink files) and for durability (storing checkpoints and savepoints on HDFS when configured to do so).

Since all options are correct, there are no wrong distractors here - this question tests breadth of knowledge across the Hadoop ecosystem.

Memory tip: Think of Flink as a hub in the big data wheel - Zookeeper coordinates it, Kafka feeds and receives from it, YARN schedules it, and HDFS stores for it. Use the acronym ZKYH ("Zookeeper Keeps Your HDFS") to recall all four integrations.

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