Confluent CCDAK Actual Exam - Latest CCDAK Braindumps Questions

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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Kafka Streams and Processing	- Kafka Streams API 1. Stateful vs stateless processing 2. Stream processing fundamentals - Event processing patterns 1. Exactly-once semantics 2. Windowing and aggregation
Kafka Ecosystem and Confluent Platform	- ksqlDB and connectors 1. Stream querying concepts 2. Kafka Connect basics - Schema Registry 1. Avro, Protobuf, JSON Schema usage
Kafka Producers and Consumers	- Producer API 1. Serialization and partitioning strategies 2. Reliability and acknowledgments - Consumer API 1. Consumer groups 2. Rebalancing and offset commits
Kafka Fundamentals	- Kafka architecture and core concepts 1. Replication and fault tolerance 2. Brokers, topics, partitions - Data flow in Kafka 1. Offset management 2. Producer and consumer model

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100% Pass Accurate CCDAK - Confluent Certified Developer for Apache Kafka Certification Examination Actual Exam

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q39-Q44):

NEW QUESTION # 39
What's is true about Kafka brokers and clients from version 0.10.2 onwards?

A. Clients and brokers must have the exact same version to be able to communicate
B. A newer client can talk to a newer broker, but an older client cannot talk to a newer broker
C. A newer client can talk to a newer broker, and an older client can talk to a newer broker
D. A newer client can't talk to a newer broker, but an older client can talk to a newer broker

Answer: C

Explanation:
Kafka's new bidirectional client compatibility introduced in 0.10.2 allows this. Read more herehttps://www.
confluent.io/blog/upgrading-apache-kafka-clients-just-got-easier/

NEW QUESTION # 40
What exceptions may be caught by the following producer? (select two)
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
try {
producer.send(record);
} catch (Exception e) {
e.printStackTrace();
}

A. BufferExhaustedException
B. SerializationException
C. InvalidPartitionsException
D. BrokerNotAvailableException

Answer: A,B

Explanation:
These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.

NEW QUESTION # 41
Which type of system best describes Apache Kafka? (Choose 2.)

A. Publish-subscribe messaging
B. FIFO
C. Leader-follower
D. Quorum based
E. Distributed commit log

Answer: A,E

NEW QUESTION # 42
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?

A. The topic will be unavailable
B. The producer will automatically produce to the broker that has been elected leader
C. The producer will stop working

Answer: B

Explanation:
Once the client connects to any broker, it is connected to the entire cluster and in case of leadership changes, the clients automatically do a Metadata Request to an available broker to find out who is the new leader for the topic. Hence the producer will automatically keep on producing to the correct Kafka Broker

NEW QUESTION # 43
This schema excerpt is an example of which schema format?
package com.mycorp.mynamespace;
message SampleRecord {
int32 Stock = 1;
double Price = 2;
string Product_Name = 3;
}

A. JSON Schema
B. Protobuf
C. Avro
D. YAML

Answer: B

Explanation:
This syntax is a clear match to Protocol Buffers (Protobuf). It defines a schema with fields, types, and tags, which is a format supported by Kafka when using Protobuf-based schema registry serialization.
From Confluent Schema Registry Docs:
"Kafka supports Protobuf serialization, where schemas are written in .proto files and include fields with tags." int32, double, and string are standard Protobuf types.
Avro uses JSON-style schema.
JSON Schema uses JSON object structure, not .proto.
YAML is unrelated.
Reference: Confluent Schema Registry for Protobuf

NEW QUESTION # 44
......

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