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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Monitoring and Operations	5-10%	- Consumer Lag and Health Checks - Cross-region Replication - Disaster Recovery - Log Compaction - Kafka Metrics and Monitoring
Schema Management	5-10%	- Protobuf and JSON Schemas - Schema Evolution and Compatibility - Avro Schemas - Schema Registration and Retrieval - Schema Registry Architecture
Kafka Connect	10-15%	- Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Source and Sink Connectors - Single Message Transformations (SMT) - Connector Configuration
Kafka Fundamentals	10-15%	- Brokers and Clusters - Replication Factor and ISR - Topics, Partitions, and Offsets - Producer and Consumer Basics - Log Segments and Retention
Developing with Kafka Producers	15-20%	- Idempotent Producers - Exactly-Once Semantics - Producer Configuration and Tuning - Partitioning Strategies - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Producer Interceptors
Kafka Streams	20-25%	- Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors - Testing Kafka Streams Applications - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Interactive Queries
Installing and Configuring Kafka	5-10%	- Topic Creation and Configuration - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Broker Configuration Parameters
Security	5-10%	- Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) - Authorization (ACLs)
Developing with Kafka Consumers	15-20%	- Consumer Groups and Rebalancing - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning - Consumer Interceptors - Offset Management - Deserialization

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q52-Q57):

NEW QUESTION # 52
What is true about replicas ?

A. Produce requests can be done to the replicas that are followers
B. Produce and consume requests are load-balanced between Leader and Follower replicas
C. Leader replica handles all produce and consume requests
D. Follower replica handles all consume requests

Answer: C

Explanation:
Replicas are passive - they don't handle produce or consume request. Produce and consume requests get sent to the node hosting partition leader.

NEW QUESTION # 53
(You need to send a JSON message on the wire. The message key is a string.
How would you do this?)

A. Specify a value serializer class for the JSON contents of the message's value. Set a key serializer for the string value.
B. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to JSON.
C. Specify a key serializer class for the JSON contents of the message's value. Set the value serializer class to null.
D. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to null.

Answer: A

Explanation:
According to the Apache Kafka producer documentation, serialization is configured independently for message keys and values. The key and value can use different serializers depending on their data types.
In this scenario, the message key is a string, so the producer must be configured with org.apache.kafka.
common.serialization.StringSerializer for the key. The value contains JSON, so a suitable JSON serializer must be configured for the value, such as a custom JSON serializer, a library-based serializer, or a byte-array serializer after converting the JSON to bytes.
Option B correctly reflects this separation by specifying a string serializer for the key and a JSON serializer for the value. Kafka does not automatically infer serializers, and setting a serializer to null is invalid.
Additionally, there is no built-in "JSON" serializer for keys, making Option D incorrect.
Therefore, the correct approach-fully aligned with Kafka's producer configuration model-is to explicitly configure a StringSerializer for the key and a JSON-capable serializer for the value.

NEW QUESTION # 54
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.sports, topic.politics? (select two)

A. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));
B. consumer.subscribePrefix("topic.");
C. consumer.subscribe(Pattern.compile("topic\..*"));
D. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");

Answer: A,C

Explanation:
Multiple topics can be passed as a list or regex pattern.

NEW QUESTION # 55
ksqIDB Lambda functions must be used inside what type of designated functions?

A. Application
B. Stafcc
C. Deployment
D. Invocation

Answer: B

NEW QUESTION # 56
When using the Confluent Kafka Distribution, where does the schema registry reside?

A. As an in-memory plugin on your Zookeeper cluster
B. As an in-memory plugin on your Kafka Connect Workers
C. As an in-memory plugin on your Kafka Brokers
D. As a separate JVM component

Answer: D

Explanation:
Schema registry is a separate application that provides RESTful interface for storing and retrieving Avro schemas.

NEW QUESTION # 57
......

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