Confluent CCDAK Valid Exam Objectives - Realistic Confluent Certified Developer for Apache Kafka Certification Examination 100% Exam Coverage Pass Guaranteed Quiz

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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Topic 1: 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
Topic 2: Kafka Ecosystem and Confluent Platform	- ksqlDB and connectors 1. Kafka Connect basics 2. Stream querying concepts - Schema Registry 1. Avro, Protobuf, JSON Schema usage
Topic 3: Kafka Producers and Consumers	- Consumer API 1. Rebalancing and offset commits 2. Consumer groups - Producer API 1. Reliability and acknowledgments 2. Serialization and partitioning strategies
Topic 4: 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

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q43-Q48):

NEW QUESTION # 43
You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)

A. kafka.controller:type=KafkaController,name=TopicsToDeleteCount
B. kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
C. kafka.controller:type=KafkaController,name=OfflinePartitionsCount
D. kafka.controller:type=KafkaController,name=ActiveControllerCount
E. kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec

Answer: C,D,E

Explanation:
These three metrics are critical for cluster health:
OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
ActiveControllerCount: There should be exactly one active controller. A count # 1 signals controller failure.
UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
From Kafka Monitoring Documentation:
"Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running." A is about topics pending deletion - not critical.
E is a per-topic record metric, not broker-level.
Reference: Kafka Monitoring > Key JMX Metrics

NEW QUESTION # 44
while (true) {
ConsumerRecords<String, String> records = consumer.poll(100);
try {
consumer.commitSync();
} catch (CommitFailedException e) {
log.error("commit failed", e)
}
for (ConsumerRecord<String, String> record records)
{
System.out.printf("topic = %s, partition = %s, offset =
%d, customer = %s, country = %s
",
record.topic(), record.partition(),
record.offset(), record.key(), record.value());
}
}
What kind of delivery guarantee this consumer offers?

A. At-most-once
B. At-least-once
C. Exactly-once

Answer: A

Explanation:
Here offset is committed before processing the message. If consumer crashes before processing the message, message will be lost when it comes back up.

NEW QUESTION # 45
Your company has three Kafka clusters: Development, Testing, and Production.
The Production cluster is running out of storage, so you add a new node.
Which two statements about the new node are true?
(Select two.)

A. A new node will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
B. A new node can be added without stopping existing cluster nodes.
C. A node ID will be assigned to the new node automatically.
D. A newly added node will have KRaft controller role by default.

Answer: A,B

Explanation:
* C is true: When a new broker is added,no partitions are assigned to itunless you create new topics or reassign existing onesusing kafka-reassign-partitions.sh.
* D is true: Kafka brokers arehot-pluggable; no need to stop the cluster when scaling.
FromKafka Operations Guide:
"A newly added broker won't be assigned partitions until reassignments or new topic creation."
"Kafka allows dynamic scaling by adding brokers without downtime."
* A is false: Broker IDs must bemanually setunless using dynamic broker registration in KRaft mode.
* B is false unless the cluster usesKRaft modeand the broker isspecifically assigneda controller role.
Reference:Kafka Operations > Adding Brokers

NEW QUESTION # 46
You need to correctly join data from two Kafka topics.
What will allow for the co-partitioning? (Choose 2.)

A. Both topics have the same value schema.
B. Both topics have the same number of partitions.
C. Both topics have the same key and partitioning strategy.
D. Both topics have the same retention time.

Answer: B,C

NEW QUESTION # 47
Suppose you have 6 brokers and you decide to create a topic with 10 partitions and a replication factor of 3.
The brokers 0 and 1 are on rack A, the brokers 2 and 3 are on rack B, and the brokers 4 and 5 are on rack C.
If the leader for partition 0 is on broker 4, and the first replica is on broker 2, which broker can host the last replica? (select two)

A. 0
B. 1
C. 2
D. 3
E. 4
F. 5

Answer: A,B

Explanation:
When you create a new topic, partitions replicas are spreads across racks to maintain availability. Hence, the Rack A, which currently does not hold the topic partition, will be selected for the last replica

NEW QUESTION # 48
......

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