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Prime 20 Apache Kafka Interview Questions Solutions for Java Builders


Here’s a listing of often requested Apache Kafka interview questions for
Java programmers and software program builders who’re getting ready for the Apache
Kafka interviews or Java Developer interviews the place Apache Kafka abilities are wanted. These questions cowl most important Kafka ideas like
subjects, replication, partitions, and so forth and you should utilize them to rapidly
revise important Apache Kafka ideas earlier than interviews.

1. What’s Apache Kafka?
Apache Kafka is a stream-processing framework that implements a
software program bus. It’s a Scala and Java-based open-source improvement
platform developed by the Apache Software program Basis.  The aim of the undertaking is to offer a single, high-throughput,
low-latency platform for real-time knowledge flows. Kafka Join permits
customers to connect with exterior techniques (for knowledge import/export) and
contains Kafka Streams, a
Java stream processing framework.

Some
key options of Apache Kafka are given beneath,
1. Excessive Throughput
Helps tens of millions of messages
2. Scalability – Extremely scalable
distributed techniques with no downtime.
3. Replication – Messages are
duplicated throughout the cluster to allow quite a few subscribers.
4.
Sturdiness – Help for persistence of messages to disk.
5. Stream
processing – Utilized in real-time streaming functions.

2. What are the varied elements which you could see in Apache
Kafka?

Listed here are key elements of any Apache Kafka cluster:

  • Subject – a stream of messages belonging to the identical kind
  • Producer
    – that is the one who can publish messages on a subject.
  • Brokers –
    Servers which is used to retailer the writer’s messages.
  • Client –
    subscribes to numerous subjects and pulls knowledge from the brokers.

3. What’s a client group?
Client Teams are a function distinctive to Apache Kafka. In essence,
every Kafka client group is made up of a number of individuals who eat a
assortment of associated subjects on the similar time.

4. What’s the ZooKeeper’s operate in Kafka?
Kafka makes use of ZooKeeper to handle the cluster. ZooKeeper is used to
coordinate the brokers/cluster topology. ZooKeeper is a constant file
system for configuration data. ZooKeeper will get used for management
election for Dealer Subject Partition Leaders.

Apache Kafka Interview Questions with Answers for Java Developers

5. What’s the which means of Partition in Kafka?
Kafka subjects are divided into partitions, with every partition
containing information in a predetermined order. Every file in a partition
is assigned and attributed a singular offset. A single subject can include
many partition logs. This allows a number of folks to learn on the similar
time from the identical subject. Partitions, which divide knowledge right into a single
subject and distribute it amongst a number of brokers, can be utilized to
parallelize subjects.

6. What’s the most dimension of a message that Kafka can obtain?
By default, the utmost dimension of a Kafka message is 1MB
(megabyte). The dealer settings assist you to modify the dimensions. Kafka, on
the opposite hand, is designed to deal with 1KB messages as nicely.

7. Identify some disadvantages of Kafka?
There are lots of benefits and likewise disadvantages to utilizing Apache
Kafka. A number of the disadvantages are given beneath.
1. Sure
message sorts like point-to-point queues and request/reply will not be
supported by Kafka.
2. There are not any full monitoring instruments in
Apache Kafka.
3. When messages are tweaked, Kafka’s efficiency
suffers. Kafka works nicely when the message doesn’t should be
up to date.
4. Kafka doesn’t assist wildcard subject choice. It is
essential to make use of the suitable situation identify.

8. What are the advantages of utilizing clusters in Kafka?
A Kafka cluster is actually a group of brokers. They’re
utilized to maintain issues balanced. As a result of Kafka brokers are stateless,
Zookeeper is used to take care of observe of the state of their cluster.
Lots of of hundreds of reads and writes per second may be dealt with by a
single Kafka dealer occasion, and every dealer might deal with TBs of messages
with out sacrificing pace. The Kafka dealer chief may be chosen utilizing
Zookeeper. Consequently, having a cluster of Kafka brokers drastically
improves efficiency.

9. Learn how to broaden a cluster in Kafka?
A server simply must be given a singular dealer id and Kafka should
be began on that server to be added to a Kafka cluster. A brand new server
is not going to be supplied to any of the information divisions till a brand new subject is
shaped. Consequently, each time a brand new machine is added to the cluster,
some outdated knowledge should be transferred to the brand new machines. The partition
reassignment device is used to maneuver some partitions to the brand new dealer.

How Apache Kafka Cluster works

10. How does Kafka outline the phrases “chief” and “follower”?
Every partition in Kafka incorporates a single server appearing because the
Chief and 0 or extra servers appearing as Followers. The Chief is
chargeable for all learn and writes operations to the partition, whereas
the Followers are chargeable for passively replicating the chief.

11. In a Kafka cluster, what’s the distinction between a partition
and a duplicate of a subject?

Partitions are a single Kafka theme fragment. It is doable to
change the variety of partitions per topic. Extra divisions permit for
extra parallelism whereas studying from the topics. The variety of
divisions in a client group has an affect on the patron group.

Replicas
are an identical copies of the partitions. They’re by no means spoken to or learn
aloud to. Their essential objective is to offer knowledge redundancy. When there
are n copies of a topic, n-1 brokers can fail with out incurring knowledge
loss. Moreover, no topic’s replication issue may be larger than
the variety of brokers.

12. Is it doable to get the message offset after producing?
You’ll be able to’t try this from a category that acts like a producer, which
is what most queue techniques do; its job is to fireside and neglect messages.
The remainder of the work, corresponding to appropriate metadata processing with ids,
offsets, and so forth, will likely be dealt with by the dealer.

You’ll be able to
purchase the offset from a Kafka dealer as a message client. In the event you
take a look at the SimpleConsumer class, you may observe that it will get
MultiFetchResponse objects with offsets saved in a listing. Moreover,
once you iterate the Kafka Message, you may get MessageAndOffset objects,
which include each the offset and the message transmitted.

13. What’s Geo-Replication in Kafka?
Kafka Geo-replication is supported by MirrorMaker on your
clusters. Messages are duplicated throughout numerous datacenters or cloud
areas utilizing MirrorMaker. This can be utilized in lively/passive situations
for backup and restoration, in addition to in inactive/lively situations to maneuver
knowledge nearer to your customers or meet knowledge locality wants.

14. Why replication is required in Kafka?
Message replication in Kafka ensures that any revealed message
will not be misplaced and could also be consumed within the occasion of a machine failure, a
program failure, or extra widespread software program upgrades.

15. What are shoppers in Kafka?
Kafka provides a single client abstraction that could be used to
uncover each queuing and publish-subscribe Client Teams. They assign
themselves to a person group, and every message on a given subject is distributed to
one use case inside every promising person group. 

The person cases are
now disconnected. Based mostly on the shopper groupings, we are able to decide the
client’s messaging mannequin.

If all client cases have
the identical client set, this behaves equally to a conventional queue
that distributes the load throughout shoppers. When all buyer cases
have completely different client teams, the system behaves as a
publish-subscribe, and all messages are despatched to all prospects. In the event you want instance, you possibly can see this Java + Spring + Apache Kafka Producer Client Instance


16. What are the primary API’of Apache Kafka?
Apache
Kafka has 4 essential APIs:
1. Producer API
2. Client API
3.
Streams API
4. Connector API

17. What’s the conventional technique of message switch?
Two strategies of message transmission are used within the
conventional technique:

1. Queuing

Queuing permits a bunch of shoppers
to learn a message from the server, and every message is delivered to 1
of them.

2. Publish-Subscribe

Messages are broadcast to all
shoppers underneath this mannequin. Kafka caters to a single client
abstraction that encompasses each of the aforementioned- the patron
group.
Top 20 Apache Kafka Interview Questions with Answers

18. What’s the objective of the Streams API?
The Streams API lets an utility act as a stream processor,
consuming enter streams from a number of subjects and supplying output
streams to a number of output subjects, in addition to successfully
remodeling enter streams to output streams.

19. Clarify Kafka’s idea of chief and follower?

In Kafka, every partition has one server that acts because the Chief and one
or extra servers that function as Followers. The Chief manages the learn
and writes requests for the partition, whereas the Followers are in cost
of passively replicating the chief. One of many Followers will take over
if the Chief is unable to steer. Consequently, the server’s burden is
distributed evenly.

20. Can Kafka be used with out a ZooKeeper?
It’s not possible to attach on to the Apache Server
with out going by way of the ZooKeeper in Kafka. Consequently, the reply is
no. If the ZooKeeper is unavailable for any cause, no consumer requests
will likely be fulfilled.



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