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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developing with Kafka Consumers | 15-20% | - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Consumer Interceptors - Multi-threaded Consumers - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Offset Management |
| Topic 2: Security | 5-10% | - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Authorization (ACLs) - Encryption in Transit |
| Topic 3: Monitoring and Operations | 5-10% | - Cross-region Replication - Kafka Metrics and Monitoring - Log Compaction - Consumer Lag and Health Checks - Disaster Recovery |
| Topic 4: Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Schema Registry Architecture - Schema Evolution and Compatibility - Avro Schemas |
| Topic 5: Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Topic Creation and Configuration - Partition Assignment Strategies - Broker Configuration Parameters |
| Topic 6: Kafka Connect | 10-15% | - Offset Management in Connect - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Connector Configuration - Converters and Transforms |
| Topic 7: Kafka Fundamentals | 10-15% | - Replication Factor and ISR - Producer and Consumer Basics - Brokers and Clusters - Log Segments and Retention - Topics, Partitions, and Offsets |
| Topic 8: Developing with Kafka Producers | 15-20% | - Producer Interceptors - Exactly-Once Semantics - Partitioning Strategies - Error Handling and Retry Logic - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) - Idempotent Producers |
| Topic 9: Kafka Streams | 20-25% | - Windowed Operations (Tumbling, Hopping, Session) - Exactly-Once Processing - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Interactive Queries - Streams Architecture and Topology - Testing Kafka Streams Applications |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?
A) Use a unique identifier such as a universally unique identifier (UUID) as the message key.
B) Use a combination of the bank account number and the transaction timestamp as the message key.
C) Use the bank account number found in the message as the message key.
D) Use the timestamp of the message's arrival as its key.
2. (You have a Kafka Connect cluster with multiple connectors deployed.
One connector is not working as expected.
You need to find logs related to that specific connector to investigate the issue.
How can you find the connector's logs?)
A) Make no change; there is no way to isolate connector logs.
B) Modify the log4j.properties file to add a dedicated log appender for the connector.
C) Change the log level to DEBUG to include connector context information.
D) Modify the log4j.properties file to enable connector context.
3. (You have a topic with four partitions. The application reading this topic is using a consumer group with two consumers.
Throughput is smoothly distributed among partitions, but application lag is increasing.
Application monitoring shows that message processing is consuming all available CPU resources.
Which action should you take to resolve this issue?)
A) Add more consumers to increase the level of parallelism of the processing.
B) Decrease the max.poll.records property of consumers.
C) Increase the max.poll.records property of consumers.
D) Add more partitions to the topic to increase the level of parallelism of the processing.
4. What is accomplished by producing data to a topic with a message key?
A) Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
B) Consumers can filter messages in real time based on the message key without processing unrelated messages.
C) Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
D) It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.
5. You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?
A) enable.auto.commit=true
B) retries=2147483647max.in.flight.requests.per.connection=5enable.idempotence=true
C) retries=2147483647max.in.flight.requests.per.connection=1enable.idempotence=false
D) retries=0max.in.flight.requests.per.connection=5enable.idempotence=true
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |



