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| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Replication Factor and ISR - Producer and Consumer Basics - Log Segments and Retention - Topics, Partitions, and Offsets |
| Developing with Kafka Consumers | 15-20% | - Commit Strategies (Auto, Manual, Cooperative) - Offset Management - Consumer Groups and Rebalancing - Multi-threaded Consumers - Consumer Interceptors - Consumer Configuration and Tuning - Deserialization |
| Security | 5-10% | - Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) - Authorization (ACLs) |
| Kafka Connect | 10-15% | - Converters and Transforms - Connector Configuration - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect - Single Message Transformations (SMT) |
| Schema Management | 5-10% | - Schema Registration and Retrieval - Schema Evolution and Compatibility - Protobuf and JSON Schemas - Schema Registry Architecture - Avro Schemas |
| Kafka Streams | 20-25% | - Exactly-Once Processing - State Stores and Processors - Testing Kafka Streams Applications - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology - Interactive Queries - Windowed Operations (Tumbling, Hopping, Session) |
| Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Log Compaction - Cross-region Replication - Disaster Recovery |
| Developing with Kafka Producers | 15-20% | - Idempotent Producers - Error Handling and Retry Logic - Producer Interceptors - Partitioning Strategies - Exactly-Once Semantics - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Topic Creation and Configuration |
(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.)
Correct Answer: A,C 🗳️
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Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?
Correct Answer: C 🗳️
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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?
Correct Answer: C 🗳️
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What is the default maximum size of a message the Apache Kafka broker can accept?
Correct Answer: B 🗳️
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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?
Correct Answer: C 🗳️
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