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Kafka - Quiz(MCQ)
A)
Amazon
B)
Apple
C)
LinkedIn
D)
Google

Correct Answer :   LinkedIn


Explanation : Kafka was originally developed at LinkedIn, and was subsequently open sourced in early 2011. Jay Kreps, Neha Narkhede and Jun Rao helped co-create Kafka.

A)
C Language
B)
Java
C)
PHP
D)
Python

Correct Answer :   Java


Explanation : Kafka written in two coding languages like as Java and Scala.

A)
January 2007
B)
January 2009
C)
January 2010
D)
January 2011

Correct Answer :   January 2011

A)
BigTop
B)
ActiveMQ
C)
Impala
D)
Zookeeper

Correct Answer :   ActiveMQ


Explanation : Kafka works well as a replacement for a more traditional message broker.

A)
Queuing
B)
Publish-Subscribe
C)
Both (A) and (B)
D)
None of the above

Correct Answer :   Both (A) and (B)

A)
Issues with Message Tweaking
B)
No Complete Set of Monitoring Tools
C)
Not support wildcard topic selection
D)
All of the above

Correct Answer :   All of the above

A)
zookeeper.properties
B)
zk.yaml
C)
zookeeper.xml
D)
kafka.zk.properties

Correct Answer :   zookeeper.properties

A)
kafka-broker-start.sh
B)
kafka-producer-start.sh
C)
kafka-server-start.sh
D)
kafka-consumer-start.sh

Correct Answer :   kafka-server-start.sh

A)
It is approx. 1250000 bytes
B)
It is approx. 1000000 bytes
C)
It is approx. 1456000 bytes
D)
None of the above

Correct Answer :   It is approx. 1000000 bytes

A)
Producer
B)
Streama
C)
Consumer
D)
Connector

Correct Answer :   Streama

A)
ZooKeeper server
B)
Kafka Topic
C)
Kafka Producer
D)
Kafka Consumer

Correct Answer :   ZooKeeper server

A)
1
B)
2
C)
3
D)
None of the above

Correct Answer :   3

A)
Streams API
B)
Connector API
C)
Both (A) and (B)
D)
None of the above

Correct Answer :   Both (A) and (B)

A)
kafka-topics.sh
B)
kafka-cli.sh
C)
kafka-producer.sh
D)
kafka-create-topic.sh

Correct Answer :   kafka-topics.sh

A)
Kafka-producer.sh
B)
Kafka-add-message.sh
C)
kafka-create-message.sh
D)
kafka-console-producer.sh

Correct Answer :   kafka-console-producer.sh

A)
Producers
B)
Brokers
C)
Consumers
D)
Streamers

Correct Answer :   Brokers

A)
Tony Kafka
B)
Neha Kafka
C)
Franz kafka
D)
Matt Kafka

Correct Answer :   Franz kafka

A)
CDC Connector
B)
Amazon S3 Sink connector
C)
Amazon S3 source connector
D)
Kafka Streams S3 Connector

Correct Answer :   CDC Connector

A)
Commit Log
B)
Event sourcing
C)
Stream Processing
D)
None of the above

Correct Answer :   Event sourcing


Explanation : Kafka’s support for very large stored log data makes it an excellent backend for an application built in this style.

A)
isr
B)
follower
C)
replicas
D)
leader

Correct Answer :   leader

A)
isr
B)
leader
C)
replicas
D)
follower

Correct Answer :   isr


Explanation : “isr” is the set of “in-sync” replicas.

A)
Chunks
B)
Domains
C)
Topics
D)
Messages

Correct Answer :   Topics

A)
Also, we can transform data into the standard format
B)
Moreover, it allows continuous processing of streaming data to the topics
C)
Through this, we can Alert as well as report the operational metrics
D)
All of the above

Correct Answer :   All of the above

A)
Building real-time streaming applications that transform or react to the streams of data
B)
Building real-time streaming data pipelines that reliably get data between systems or applications
C)
Both (A) and (B)
D)
None of the above

Correct Answer :   Both (A) and (B)

A)
Low Overhead and Low Throughput
B)
Low Overhead and High Throughput
C)
High Overhear and Low Throughput
D)
High Overhead and High Throughput

Correct Answer :   Low Overhead and High Throughput

A)
Message queue
B)
Event streams
C)
Tracking and logging
D)
All of the above

Correct Answer :   All of the above

A)
Zero
B)
One
C)
Four
D)
Five

Correct Answer :   One

A)
Kafka-console-consumer.sh
B)
kafka-get-message.sh
C)
kafka-read-message.sh
D)
Kafka-console-producer.sh

Correct Answer :   Kafka-console-consumer.sh

A)
Kafka API
B)
Kafka Producer
C)
Kafka Connect Sink
D)
Kafka Consumer

Correct Answer :   Kafka Connect Sink

A)
Full
B)
Backward
C)
Forward
D)
None of the above

Correct Answer :   Forward

A)
Vertical mode
B)
Batch mode
C)
Standalone mode
D)
Distributed Mode

Correct Answer :   Distributed Mode

A)
Message
B)
Server
C)
Zookeeper
D)
Subscriber

Correct Answer :   Server

A)
It is used to commit offset
B)
It is responsible for messaging
C)
It helps to communicate between two nodes
D)
It is responsible for covering two producers

Correct Answer :   It is responsible for covering two producers

A)
Cluster
B)
Zookeeper
C)
Apache Kafka
D)
Traditional message transfer

Correct Answer :   Traditional message transfer

A)
Property
B)
RFC
C)
Avro
D)
None of the above

Correct Answer :   Property


Explanation : These key values can be supplied either from a file or programmatically.

A)
log.index.enable
B)
log.cleaner.enable
C)
log.retention
D)
log.flush.interval.message

Correct Answer :   log.retention


Explanation : log.cleaner.enable is configuration must be set to true for log compaction to run.

A)
Fast
B)
Durable
C)
Scalable
D)
All of the above

Correct Answer :   All of the above

A)
staters
B)
leaders
C)
followers
D)
All of the above

Correct Answer :   leaders

A)
Bolt
B)
Spout
C)
Reliable
D)
All of the above

Correct Answer :   All of the above

A)
A consumer instance gets the messages in the same order as they are produced.
B)
A consumer instance is guaranteed to get all the messages produced.
C)
No two consumer instances will get the same message
D)
All consumer instances will get all the messages

Correct Answer :   A consumer instance gets the messages in the same order as they are produced.

A)
After a Bohemian novelist and short story writer
B)
Because Kafka is a system optimised for writing
C)
Both (A) and (B)
D)
None of the above reasons

Correct Answer :   Both (A) and (B)

A)
Process streams of records as they occur
B)
Store streams of records in a fault-tolerant durable way
C)
Publish and subscribe to streams of records, similar to a message queue or enterprise messaging system
D)
All of the above

Correct Answer :   All of the above

A)
30%
B)
Total
C)
partial
D)
None of the above

Correct Answer :   Total