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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 5-10% | - Encryption in Transit - Authorization (ACLs) - Securing Schema Registry - Authentication (SASL, SSL/TLS) |
| Topic 2: Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Disaster Recovery - Log Compaction - Cross-region Replication |
| Topic 3: Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Consumer Interceptors - Offset Management |
| Topic 4: Schema Management | 5-10% | - Protobuf and JSON Schemas - Schema Registry Architecture - Schema Registration and Retrieval - Avro Schemas - Schema Evolution and Compatibility |
| Topic 5: Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Exactly-Once Semantics - Producer Configuration and Tuning - Idempotent Producers - Producer Interceptors - Partitioning Strategies |
| Topic 6: Kafka Streams | 20-25% | - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - Streams Architecture and Topology - State Stores and Processors - Exactly-Once Processing - Testing Kafka Streams Applications - Interactive Queries |
| Topic 7: Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Topic Creation and Configuration - Broker Configuration Parameters |
| Topic 8: Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Connector Configuration - Source and Sink Connectors - Single Message Transformations (SMT) - Offset Management in Connect |
| Topic 9: Kafka Fundamentals | 10-15% | - Brokers and Clusters - Replication Factor and ISR - Topics, Partitions, and Offsets - Log Segments and Retention - Producer and Consumer Basics |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?
- A. Partition leaders may change.
- B. Offsets are compacted.
- C. Partitions assigned to a consumer may change.
- D. Previous log files are deleted.
Correct Answer: C 🗳️
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(You create a topic with five partitions.
What can you assume about messages read from that topic by a single consumer group?)
- A. The consumer group can only read the same number of messages from all the partitions.
- B. Messages can be consumed by a maximum of five consumers in the same consumer group.
- C. Messages from one partition can be consumed by any of the consumers in a group for faster processing.
- D. All messages will be read from exactly one broker by the consumer group.
Correct Answer: B 🗳️
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Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?
- A. batch.size
- B. send.buffer.bytes
- C. buffer.memory
- D. max.block.size
Correct Answer: A 🗳️
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Match each configuration parameter with the correct deployment step in installing a Kafka connector.
Correct Answer:
Explanation:
1st: Place the connector's JAR file in the directory specified by plugin.path
2nd: Restart the Kafka Connect cluster
3rd: Verify using REST API (/connector-plugins)
4th: Configure the connector
5th: (Repeat of 4th, duplicate step)
1st # Place the connector's JAR file in the directory specified by the plugin.path configuration.
2nd # Restart the Kafka Connect cluster.
3rd # Verify that the connector is installed by listing all available connectors using the Kafka Connect REST API (/connector-plugins).
4th # Configure the connector using a JSON or properties file with the necessary settings.
5th # Configure the connector using a JSON or properties file with the necessary settings.
Kafka Connect requires that custom connectors be placed in the directory defined by plugin.path. After restarting the cluster, you can use the REST API to confirm availability and then deploy the connector configuration.
From Kafka Connect Documentation:
"After placing the JAR in the plugin.path, you must restart the Connect cluster to pick it up. Use the
/connector-plugins REST endpoint to verify."
The duplication of configuration is an error in the question options and should occur only once.
Reference: Kafka Connect Plugin Installation Guide
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 will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
- C. A new node can be added without stopping existing cluster nodes.
- D. A newly added node will have KRaft controller role by default.
Correct Answer: B,C 🗳️
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