Top 11 Kafka Interview Questions & Answers 2

 

Top 11 Kafka Interview Questions & Answers 2

3. What are the important thing Features of Apache Kafka?

The salient capabilities of Kafka consist of the following:

1. Durability – Kafka allows seamless assist for the distribution and replication of statistics walls across servers which can be then written to disk. This reduces the hazard of servers failing, makes the data chronic and tolerant of faults and increases its durability.

2. Scalability – Kafka may be disturbed and changed across many servers, techqueer which make it notably scalable, past the capacity of a single server. Kafka’s information walls haven't any downtime because of this.

3. Zero Data Loss – With the right aid and the proper configurations, the loss of data may be reduced to 0

4. Speed – Since there's extremely low latency due to the decoupling digitalknowledgetoday of information streams, Apache Kafka is very fast. It is used with Apache Spark, Apache Apex, Apache Flink, Apache Storm, and so on, all of which might be real-time external streaming programs.

5. High Throughput & Replication – Kafka has the ability to aid tens healthnutritionhints of millions of messages that are replicated throughout a couple of servers to offer access to a couple of subscribers.

4. How does Kafka Work?

Kafka works by means of combining messaging fashions, thereby queuing smartdiethealth them, and publishing and subscribing to them, so it is able to be made on hand to many patron instances.

Queuing promotes scalability by permitting statistics to be processed and allotted to multiple patron servers. However, these queues aren't in shape to be multi-subscribers. This is where the publishing and subscribing approach steps in. However, seeing that every message healthfitnesschampion instance could then be despatched to each subscriber, this approach can not be used for the distribution of statistics across more than one approaches.

Therefore, Kafka employs records of partitions to mix the two processes. It makes use of a partitioned log model in which every log, a sequence of statistics records, is break up into smaller segments (walls) to cater to a couple of subscribers.

This enables special subscribers to have got right of entry to the identical subject matter, making it scalable for the reason that each subscriber is provided with a partition.

Kafka’s partitioned log version is likewise replayable, permitting exclusive programs to function independently whilst still reading from information streams.

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5. What are the Major Four Components of Kafka?

There are four additives of Kafka. They are:

– Topic

– Producer

– Brokers

– Consumer

Topics are streams of messages which might be of an equal type.

Producers are able to publish messages to a given subject matter.

Brokers are servers wherein the streams of messages posted by way of manufacturers are saved.

Consumers are subscribers that subscribe to subjects and get the right of entry to the facts saved by way of the brokers.

6. How many APIs does Kafka Have?

Kafka has five predominant APIs that are:

– Producer API: answerable for publishing messages or movement of records to a given topic.

– Consumer API: known as subscribers of subjects that pull the messages posted by way of manufacturers.

– Streams API: allows applications to manner streams; this involves processing any given topic’s enter circulation and remodelling it to an output circulate. This output movement may also then be sent to distinct output topics.

– Connector API: acts as an automating device to allow the addition of various programs to their existing Kafka topics.

– Admin API: Kafka topics are managed by using the Admin API, as are agents and several other Kafka items.

7. What is the Importance of the Offset?

The precise identity number this is allotted to messages stored in partitions is known as the Offset. An offset serves as an identity wide variety for every message contained in a partition.

8. Define a Consumer Group.

When a group of subscribed topics are mutually fed on by means of a couple of patrons, it's far called a Consumer Group.

9. Explain the Importance of Zookeeper. Can Kafka be used Without Zookeeper?

Offsets (precise ID numbers) for a specific subject matter as well as walls consumed by means of a particular consumer institution are stored with the assist of a Zookeeper. It serves as the coordination channel between customers. It is not possible to use Kafka that doesn’t have Zookeeper. It makes the Kafka server inaccessible, and client requests can’t be processed if the Zookeeper is bypassed.

10. What do Leader and Follower In Kafka Mean?

Each of the partitions in Kafka is assigned a server that serves as the Leader. Every read/write request is processed through the Leader. The position of the Followers is to observe within the footsteps of the Leader. If the gadget causes the Leader to fail, one of the Followers will stop replicating and fill in because the Leader to take care of load balancing.