AD482 - ch02s04

Discuss Developing Event-driven Applications with Apache Kafka and Red Hat AMQ Streams

Welcome to the Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams group!

cschunke

26 wrz 2023

We are excited to launch a space dedicated to the Red Hat Training course Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams! To gain the most value from this group - click the "Join Group" button in the upper right hand corner of the group home page.We encourage group members to collaborate in this group to discuss topics, ask questions, share best practices and tips, provide course feedback, and share their accomplishments as it relates to AD482.Read more about Developing Event-Driven Applications with Apache Kafka and Red Hat AMQ Streams here.

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	Which two of the following statements about ZooKeeper in Kafka are true? (Choose two).
A		It provides an easy way to deploy Kafka in OpenShift.
B		It allows real-time stream consumption.
C		It provides a management layer for Kafka brokers.
D		Kafka clients connect directly to it.
E		It is used in the controller broker election process.


	What is a topic?
A		A set of brokers working together.
B		The way Kafka categorizes messages.
C		An application that allows you to interact with Kafka over a network connection.
D		An array of bytes sent by Kafka producers.


	How does Kafka achieve scalability?
A		By using Strimzi and other applications from the Kafka Ecosystem.
B		By deploying the cluster in a cloud environment.
C		By distributing partitions across the brokers in the cluster.
D		By making messages durable.


	What is Strimzi?
A		An application that allows you to fetch data from external platforms and use it in Kafka.
B		A project that allows you to easily deploy Kafka in Kubernetes or OpenShift.
C		A client library that allows you to consume data in real-time, perform aggregations and data manipulation.
D		A backup environment that is used in case of failure to avoid data loss.


	In the case of a broker failure how do you avoid losing messages in a Kafka cluster?
A		By using Kafka Connect to retrieve data from a backup environment.
B		Kafka does not have any mechanism to avoid data loss in case of failure.
C		By creating several copies of every partition (replication).
D		By increasing the number of brokers in the cluster.

Developing Event-driven Applications with Apache Kafka and Red Hat AMQ Streams

Quiz: Describing the Kafka Ecosystem and Architecture

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