The video tutorial provides an overview of Kafka, covering key concepts such as clusters, brokers, topics, partitions, and replication. It explains the roles of producers and consumers, including data flow, key-based ordering, and acknowledgment strategies. The tutorial also discusses Zookeeper's role in managing Kafka clusters. Finally, it concludes with a summary and introduces the next section, which involves setting up a Kafka cluster for practical learning.

What is the role of a partition leader in a Kafka cluster?

• To handle data replication

• To store the offsets topic

• To manage consumer offsets

• To coordinate producers

How does a producer decide which broker to send data to when no key is provided?

• It uses a random selection

• It sends data to the broker with the least load

• It sends data to the first broker

• It uses a round-robin strategy

What happens when a producer sends data with a key?

• The data is sent to the partition with the least load

• The data is sent to all partitions

• The data is sent to the same partition for the same key

• The data is sent to a random partition

What is the purpose of consumer groups in Kafka?

• To allow multiple consumers to read from the same partition

• To ensure data is consumed by multiple consumers

• To manage producer offsets

• To balance the load among consumers

What role does Zookeeper play in a Kafka cluster?

• It manages consumer offsets

• It coordinates producers

• It maintains a list of brokers and manages them

• It stores the offsets topic