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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Application Testing	8%	- Unit testing producers and consumers - Integration testing and test clusters - Mocking and test utilities
Apache Kafka Fundamentals	23%	- Kafka architecture and data flow - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once - Configuration basics and cluster setup
Application Observability	13%	- Error diagnosis and troubleshooting - Logging and monitoring metrics - Tracing and performance tuning
Apache Kafka Application Development	28%	- Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution - Transactional messaging and idempotence
Kafka Connect	15%	- Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters
Apache Kafka Streams	12%	- Error handling and state management - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores - Windowing and time semantics

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q31-Q36):

NEW QUESTION # 31
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 node ID will be assigned to the new node automatically.
B. A new node can be added without stopping existing cluster nodes.
C. A new node will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
D. A newly added node will have KRaft controller role by default.

Answer: B,C

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 # 32
What is returned by a producer.send() call in the Java API?

A. A Boolean indicating if the call succeeded
B. Future<ProducerRecord> object
C. Future<RecordMetadata> object
D. Unit

Answer: C

Explanation:
Seehttps://kafka.apache.org/21/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html

NEW QUESTION # 33
Match each configuration parameter with the correct option.
To answer choose a match for each option from the drop-down. Partial
credit is given for each correct answer.

Answer:

Explanation:

Explanation:
Correct Matches
* path.format#Only valid for some Source Connectors
* value.converter#Valid for all Source Connectors
* input.path#Only valid for some Source Connectors
* errors.retry.timeout#Valid for all Source Connectors
* tasks.max#Valid for all Source Connectors
* path.formatThis is a connector-specific configuration, commonly used by file-based or storage-based source connectors (for example, HDFS, S3, or FilePulse connectors). It isnot part of the Kafka Connect framework itself, so it is only valid for some source connectors.
* value.converterThis is aworker-level configurationthat defines how record values are converted (JSON, Avro, Protobuf, etc.). It applies toall connectorsrunning on the worker unless overridden at the connector level.
* input.pathThis configuration is specific to file-based source connectors (e.g., FileStreamSourceConnector). It isnot universally supported, so it is only valid for some source connectors.
* errors.retry.timeoutThis is part of Kafka Connect'serror handling framework, introduced to support retries and tolerance of transient errors. It is ageneric Connect configurationand valid for all connectors.
* tasks.maxThis is amandatory, generic connector configurationthat controls the maximum number of tasks a connector may create. It is valid forall source (and sink) connectors.

NEW QUESTION # 34
In Java, Avro SpecificRecords classes are

A. automatically generated from an Avro Schema + a Maven / Gradle Plugin
B. written manually by the programmer
C. automatically generated from an Avro Schema

Answer: A

Explanation:
SpecificRecord is created from generated record classes

NEW QUESTION # 35
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 produce request with acks=all is sent to broker?

A. Produce request will block till one of the two unavailable partition is available again.
B. Produce request is honored with single in-sync replica
C. NotEnoughReplicasException will be returned

Answer: C

Explanation:
With this configuration, a single in-sync replica becomes read-only. Produce request will receive NotEnoughReplicasException.

NEW QUESTION # 36
......

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