Last Updated: Aug 07, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kafka Streams | 20-25% | - Windowed Operations (Tumbling, Hopping, Session) - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications - State Stores and Processors - Streams Architecture and Topology - Interactive Queries |
| Topic 2: Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Single Message Transformations (SMT) - Offset Management in Connect - Source and Sink Connectors - Connector Configuration |
| Topic 3: Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Broker Configuration Parameters |
| Topic 4: Security | 5-10% | - Authorization (ACLs) - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Encryption in Transit |
| Topic 5: Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture |
| Topic 6: Kafka Fundamentals | 10-15% | - Producer and Consumer Basics - Topics, Partitions, and Offsets - Log Segments and Retention - Replication Factor and ISR - Brokers and Clusters |
| Topic 7: Developing with Kafka Consumers | 15-20% | - Commit Strategies (Auto, Manual, Cooperative) - Multi-threaded Consumers - Consumer Interceptors - Consumer Groups and Rebalancing - Consumer Configuration and Tuning - Offset Management - Deserialization |
| Topic 8: Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Cross-region Replication - Log Compaction - Disaster Recovery |
| Topic 9: Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Producer Configuration and Tuning - Producer Interceptors - Idempotent Producers - Exactly-Once Semantics - Partitioning Strategies - Error Handling and Retry Logic |
1. A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
What is the result of this?
A) An error will be raised and no record will be sent.
B) Records will be dispatched among the available partitions.
C) Records will be sent to partition 0.
D) Records will be sent to the least used partition.
2. You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)
A) kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
B) kafka.controller:type=KafkaController,name=TopicsToDeleteCount
C) kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec
D) kafka.controller:type=KafkaController,name=OfflinePartitionsCount
E) kafka.controller:type=KafkaController,name=ActiveControllerCount
3. You have a Kafka Connect cluster with multiple connectors.
One connector is not working as expected.
How can you find logs related to that specific connector?
A) Modify the log4j.properties file to add a dedicated log appender for the connector.
B) Modify the log4j.properties file to enable connector context.
C) Make no change, there is no way to find logs other than by stopping all the other connectors.
D) Change the log level to DEBUG to have connector context information in logs.
4. (You are configuring a source connector that writes records to an Orders topic.
You need to send some of the records to a different topic.
Which Single Message Transform (SMT) is best suited for this requirement?)
A) TombstoneHandler
B) HeaderFrom
C) InsertField
D) RegexRouter
5. Which configuration allows more time for the consumer poll to process records?
A) max.poll.interval.ms
B) heartbeat.interval.ms
C) session.timeout.ms
D) fetch.max.wait.ms
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C,D,E | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A |
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