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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Kafka Ecosystem and Confluent Platform	- Schema Registry 1. Avro, Protobuf, JSON Schema usage - ksqlDB and connectors 1. Kafka Connect basics 2. Stream querying concepts
Kafka Streams and Processing	- Kafka Streams API 1. Stateful vs stateless processing 2. Stream processing fundamentals - Event processing patterns 1. Windowing and aggregation 2. Exactly-once semantics
Kafka Producers and Consumers	- Consumer API 1. Consumer groups 2. Rebalancing and offset commits - Producer API 1. Serialization and partitioning strategies 2. Reliability and acknowledgments
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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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q73-Q78):

NEW QUESTION # 73
Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
Which action should you take in the catch block?

A. Throw a runtime exception to trigger a restart of the application.
B. Log the bad record and seek the consumer to the offset of the next record.
C. Log the bad record and call the consumer.skip() method.
D. Log the bad record, no other action needed.

Answer: B

Explanation:
To skip a corrupted record and avoid failing the application, you mustseek past the failed offsetmanually using consumer.seek(). This allows the application to resume consumption from the next offset.
FromKafka Consumer Error Handling Docs:
"On deserialization failure, you can catch RecordDeserializationException, log the error, and call seek() to the next offset to skip the bad record."
* A does not prevent re-processing the bad record.
* C is invalid; there'sno skip() methodin the Kafka consumer API.
* D results in service interruption - not ideal for resiliency.
Reference:Kafka Consumer API - Exception Handling and seek()

NEW QUESTION # 74
You are managing the schema of data in a Kafka Topic using Schema Registry. You need to add new fields to the message schema. You need to select a compatibility type that allows you to add required fields, delete optional fields, and allows consumers to read all previous versions of the schema.
Which compatibility type is correct?

A. FORWARD_TRANSITIVE
B. FULL_TRANSITIVE
C. FORWARD
D. BACKWARD

Answer: B

NEW QUESTION # 75
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?

A. Session
B. Sliding
C. Tumbling
D. Hopping

Answer: A

Explanation:
Session windowsare ideal for trackingperiods of activity separated by inactivity, such as user sessions.
FromKafka Streams Documentation > Windowing:
"A session window captures streams of events that areintermittentand separated by agap of inactivity."
* Tumbling/Hopping/Sliding windows are fixed in size
* Session windows are dynamic and close after inactivity timeout
This makes them perfect for identifyinggaps in user interaction.
Reference:Kafka Streams Developer Guide > Session Windows

NEW QUESTION # 76
Which two statements are correct about transactions in Kafka?
(Select two.)

A. Consumers can consume both committed and uncommitted transactions.
B. Information about producers and their transactions is stored in the _transaction_state topic.
C. All messages from a failed transaction will be deleted from a Kafka topic.
D. Transactions are only possible when writing messages to a topic with single partition.
E. Transactions guarantee at least once delivery of messages.

Answer: A,B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
# C. Consumers can consume both committed and uncommitted transactions.By default, Kafka consumers only read committed messages if they are configured with isolation.level=read_committed. However, if configured as read_uncommitted, they can also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
# D. Information about producers and their transactions is stored in the _transaction_state topic.Kafka uses an internal topic named __transaction_state to maintain metadata about producer transactions. This topic is essential for tracking the transaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."

NEW QUESTION # 77
Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1Which four statements match the expected behavior?(Select four.)

A. The connector will wait 500ms for offset data to be committed.
B. The offsets topic will use the broker default replication factor.
C. The connector will wait 60000ms before trying to commit offsets for tasks.
D. The connector will commit offsets to a topic called connect-offsets.

Answer: A,B,C,D

Explanation:
Each of these settings plays a key role inKafka Connect offset management:
* offset.flush.interval.ms=60000 # Offset commits happen every 60 seconds.
* offset.flush.timeout.ms=500 # The flush operation times out if it takes more than 500 ms.
* offset.storage.topic=connect-offsets # This is the internal topic for storing source offsets.
* offset.storage.replication.factor=-1 # This uses thebroker's default replication factor(commonly set via default.replication.factor).
FromKafka Connect Docs:
"If offset.storage.replication.factor=-1, the value will be determined by the broker's default replication factor." Reference:Kafka Connect Worker Configuration

NEW QUESTION # 78
......

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