Kafka Interview questions and answers for 2024 for Experienced | Code Decode [ MOST ASKED ] | Part-1

next level of explanation . want more videos on this👌👌

Pls make part 2 and also pls explain clearly about the consumer groups in nxt video.

Hi, Thanks to Code Decode team, Can you please clarify the below points;
1. Can producer publish data on followers also or only on leader?
2. Will offset be removed after consumer consumed, if it will not remove till some time,then data will be huge data in the partition, then what is the limit of partitions?
3. Can multiple consumers consume the same offset?
4. how different consumers knows from which offset they need to start consuming?
5. Can multiple consumers from the same group or different groups consume same offset?
6. how to handle consumer lag any case of consumer fail to consume the data?

Please upload more and more question

Awesome ❤, need other topics too

Nice vedio on Kafka, but there is a small mistake. You said both Producer writes and Consumer reads from Leader partition, which is incorrect. As this would stop the concept of parallelism when there are more than one consumer, and both trys to read from leader in your case.

Generally, the leader status of the partition does not have any bearing on the consumer.
The leader status only applies to the producers and the broker, so the consumer is fine to read all its data from both the follower Partition and the leader Partition.

Pls make video on basis of cloud like clusters, pods, etc

Please make video on grafana and kibana and Zipkin as well

Can you please cover the remaining topics of Kafka..

I'm sure this channel will grow rapidly and extensively. Content quality is too good.

Very nice explanation can you please share the new coupon code for this course Master Spring Boot Microservice & Angular K8s CICD AWS??

Thanks for this good video.

Thanks to the Code Decide team, it's great I have been following ur classes for quite some time really appreciated. In this particular video,
(1)What are the reasons that the leader broker dies ?
(2) How the Leader Election does -- what's the Behind Algorithm and how this ISR works when data is produced in a broker/partition ?
(3) Why Exactly Three 3 copies of Follower Brokers with the same set of data in Partitions ?
(4) Do We Now have a successful Kafka running version Without ZOOKEEPER Dependency ?? which Version is it ?? How successful this new version in market is now ??
Please reply with your insights and answers.
Thanks keep doing this nice work and knowledge sharing for a lot of aspirants to become successful IT careers like us. 👍🙏😊

Please continue interview series.

Thanks very useful. We need more interview questions on kafka.

You are the Best 🙏🙏

Very important video. Kafka, Asynchronous messaging is forming the main part of backend Java developer interviews these days. Thanks team. Keep such content coming !

I was waiting for this 😮 😊 please continue thanks for the knowledge 🙏

Many thanks❤

🙏👍

Waiting for this long time, Thanks. First comment