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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas - Schema Registry Architecture - Schema Evolution and Compatibility |
| Topic 2: Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Single Message Transformations (SMT) - Connector Configuration - Offset Management in Connect - Source and Sink Connectors |
| Topic 3: Monitoring and Operations | 5-10% | - Disaster Recovery - Kafka Metrics and Monitoring - Cross-region Replication - Consumer Lag and Health Checks - Log Compaction |
| Topic 4: Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Producer Interceptors - Idempotent Producers - Exactly-Once Semantics - Error Handling and Retry Logic - Serialization (JSON, Avro, Protobuf) - Producer Configuration and Tuning |
| Topic 5: Developing with Kafka Consumers | 15-20% | - Offset Management - Consumer Groups and Rebalancing - Multi-threaded Consumers - Consumer Interceptors - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning - Deserialization |
| Topic 6: Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Topic Creation and Configuration |
| Topic 7: Kafka Streams | 20-25% | - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology - Testing Kafka Streams Applications - Windowed Operations (Tumbling, Hopping, Session) - Interactive Queries - Exactly-Once Processing - State Stores and Processors |
| Topic 8: Security | 5-10% | - Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) - Authorization (ACLs) |
| Topic 9: Kafka Fundamentals | 10-15% | - Replication Factor and ISR - Producer and Consumer Basics - Brokers and Clusters - Topics, Partitions, and Offsets - Log Segments and Retention |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
- A. Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
- B. Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
- C. Update the consumer configuration by setting auto.offset.reset=earliest.
- D. Start a new consumer application with the same consumer group id.
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You have a topic t1 with six partitions. You use Kafka Connect to send data from topic t1 in your Kafka cluster to Amazon S3. Kafka Connect is configured for two tasks.
How many partitions will each task process?
- A. 2
- B. 12
- C. 3
- D. 6
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You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)
- A. The Connect cluster is in process of rebalancing.
- B. The connect cluster has reached capacity, and new connectors cannot be created without expanding the cluster.
- C. The Connector already exists in the cluster.
- D. The connector configuration was invalid, and the response body will expand on the configuration error.
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You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?
- A. Distributed mode
- B. Standalone mode
- C. Parallel mode
- D. SingleCluster mode
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(You are writing a producer application and need to ensure proper delivery.
You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
Select two.)
- A. Use a callback argument in producer.send() where you check delivery status.
- B. Check the value of ProducerRecord.status().
- C. Check that producer.send() returned a RecordMetadata object and is not null.
- D. Surround the call to producer.send() with a try/catch block to catch KafkaException.
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