Producer Part 2 - Writing the Kafka Producer

Producer Part 2 - Writing the Kafka Producer

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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This tutorial guides you through creating a Kafka producer, configuring it, and setting up Kafka topics. It covers running a Kafka producer and consumer, and demonstrates how to enhance the producer with additional features like error handling and shutdown hooks. The tutorial also includes a practical example of using Twitter data to test the Kafka setup.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of the function 'create Kafka Producer'?

To consume messages from a Kafka topic

To produce messages to a Kafka topic

To delete a Kafka topic

To update Kafka configurations

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a property set for the Kafka producer?

Consumer group

Bootstrap server

Key serializer

Value serializer

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the callback function in the Kafka producer setup?

To intercept and handle errors

To decrease message latency

To log successful message sends

To increase message throughput

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command is used to create a Kafka topic?

kafka-console-producer

kafka-console-consumer

kafka-topics

kafka-configs

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of setting a replication factor when creating a Kafka topic?

It defines the number of topic replicas

It specifies the number of partitions

It sets the number of producers

It determines the number of consumers

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when the Kafka producer is stopped using a shutdown hook?

Producer settings are reset

Messages are sent to a backup server

Messages are discarded

Messages in memory are sent before shutdown

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you test the Kafka producer with real-time data?

By updating the producer configuration

By creating a new Kafka topic

By tweeting with specific terms

By sending emails