Confluent - Latest Training Dumps

NO.63 A producer application was sending messages to a partition with a replication factor of 2 by connecting to Broker 1 that was hosting partition leader. If the Broker 1 goes down, what will happen?

The producer will automatically produce to the broker that has been elected leader

The topic will be unavailable

The producer will stop working

NO.64 What is the disadvantage of request/response communication?

Scalability

Reliability

Coupling

Cost

NO.65 Two consumers share the same group.id (consumer group id). Each consumer will

Read mutually exclusive offsets blocks on all the partitions

Read all the data on mutual exclusive partitions

Read all data from all partitions

NO.66 In Kafka, every broker… (select three)

contains all the topics and all the partitions

knows all the metadata for all topics and partitions

is a controller

knows the metadata for the topics and partitions it has on its disk

is a bootstrap broker

contains only a subset of the topics and the partitions

NO.67 What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?

At least once delivery is not guaranteed

Message order not preserved

Reduce throughput

Less resilient

NO.68 What are the requirements for a Kafka broker to connect to a Zookeeper ensemble? (select two)

Unique value for each broker’s zookeeper.connect parameter

Unique values for each broker’s broker.id parameter

All the brokers must share the same broker.id

All the brokers must share the same zookeeper.connect parameter

NO.69 You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

KafkaProducer divides messages into sizes of max.request.size and sends them in order

KafkaProducer divides messages into sizes of message.max.bytes and sends them in order

MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately

MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted

NO.70 What information isn’t stored inside of Zookeeper? (select two)

Schema Registry schemas

Consumer offset

ACL inforomation

Controller registration

Broker registration info

NO.71 Partition leader election is done by

The consumers

The Kafka Broker that is the Controller

Zookeeper

Vote amongst the brokers

NO.72 How often is log compaction evaluated?

Every time a new partition is created

Every time a segment is closed

Every time a message is sent to Kafka

Every time a message is flushed to disk

NO.73 A Zookeeper ensemble contains 3 servers. Over which ports the members of the ensemble should be able to communicate in default configuration? (select three)

2181

3888

443

2888

9092

80

NO.74 Which of the following event processing application is stateless? (select two)

Read events from a stream and modifies them from JSON to Avro

Publish the top 10 stocks each day

Read log messages from a stream and writes ERROR events into a high-priority stream and the rest of the events into a low-priority stream

Find the minimum and maximum stock prices for each day of trading

NO.75 How do Kafka brokers ensure great performance between the producers and consumers? (select two)

It compresses the messages as it writes to the disk

It leverages zero-copy optimisations to send data straight from the page-cache

It buffers the messages on disk, and sends messages from the disk reads

It transforms the messages into a binary format

It does not transform the messages

NO.76 Consumer failed to process record # 10 and succeeded in processing record # 11. Select the course of action that you should choose to guarantee at least once processing

Commit offsets at 10

Do not commit until successfully processing the record #10

Commit offsets at 11

NO.77 In Kafka Streams, by what value are internal topics prefixed by?

tasks-<number>

application.id

group.id

kafka-streams-

NO.78 Producing with a key allows to…

Ensure per-record level security

Influence partitioning of the producer messages

Add more information to my message

Allow a Kafka Consumer to subscribe to a (topic,key) pair and only receive that data

NO.79 How will you read all the messages from a topic in your KSQL query?

KSQL reads from the beginning of a topic, by default.

KSQL reads from the end of a topic. This cannot be changed.

Use KSQL CLI to set auto.offset.reset property to earliest

NO.80 A Zookeeper configuration has tickTime of 2000, initLimit of 20 and syncLimit of 5. What’s the timeout value for followers to connect to Zookeeper?

20 sec

10 sec

2000 ms

40 sec

NO.81 Your producer is producing at a very high rate and the batches are completely full each time. How can you improve the producer throughput? (select two)

Enable compression

Disable compression

Increase batch.size

Decrease batch.size

Decrease linger.ms

NO.82 You are using JDBC source connector to copy data from 2 tables to two Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?

6

1

2

3

NO.83 A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a consume request is sent to broker?

Data will be returned from the remaining in-sync replica

An empty message will be returned

NotEnoughReplicasException will be returned

A new leader for the partition will be elected

NO.84 Which of the following errors are retriable from a producer perspective? (select two)

MESSAGE_TOO_LARGE

INVALID_REQUIRED_ACKS

NOT_ENOUGH_REPLICAS

NOT_LEADER_FOR_PARTITION

TOPIC_AUTHORIZATION_FAILED

Category Confluent

Updated Mar-2022 Official licence for CCDAK Certified by CCDAK Dumps PDF [Q63-Q84]