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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kafka Connect | 15% | - Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters |
| Topic 2: Application Testing | 8% | - Unit testing producers and consumers - Integration testing and test clusters - Mocking and test utilities |
| Topic 3: Apache Kafka Streams | 12% | - Error handling and state management - Windowing and time semantics - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation |
| Topic 4: Apache Kafka Fundamentals | 23% | - Configuration basics and cluster setup - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once - Kafka architecture and data flow |
| Topic 5: Application Observability | 13% | - Logging and monitoring metrics - Error diagnosis and troubleshooting - Tracing and performance tuning |
| Topic 6: Apache Kafka Application Development | 28% | - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution - Consumer API: configuration, offset management, consumer groups, rebalancing - Transactional messaging and idempotence |
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NEW QUESTION # 36
You have a Kafka client application that has real-time processing requirements.
Which Kafka metric should you monitor?
Answer: C
Explanation:
For real-time applications, the key metric to monitor is consumer lag - the difference between the latest offset on the broker and the last committed offset by the consumer.
From Kafka Monitoring Guide:
"Consumer lag is the most important metric for real-time applications. It tells you how far behind the consumer is from the latest data in Kafka." B relates to replication, not client responsiveness.
C tracks group membership stability, not data delay.
D tracks input throughput, not processing latency.
Reference: Kafka Operations > Monitoring > Consumer Lag
NEW QUESTION # 37
When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?
Answer: C
Explanation:
You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.
NEW QUESTION # 38
Match the testing tool with the type of test it is typically used to perform.
Answer:
Explanation:
Explanation:
Unit Testing # MockProducer
Integration Testing # Testcontainers
Performance Testing # Trogdor
Mock Data Generation # Connect Datagen
MockProducer: Simulates a Kafka producer in unit tests (no real broker interaction).
Testcontainers: Spawns Kafka in Docker for real environment testing.
Trogdor: Kafka's built-in performance load testing framework.
Connect Datagen: Creates sample source records for test and demo purposes.
From Kafka Developer Tools Guide:
"Kafka developers commonly use MockProducer for unit tests, Testcontainers for integration, and Trogdor for performance tests." Reference: Kafka Testing and Tools Overview
NEW QUESTION # 39
Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?
Answer: B
Explanation:
The batch.size config sets the maximum number of bytes to batch per partition before sending. This allows Kafka producers to amortize I/O and improve throughput.
From Kafka Producer Configuration Docs:
"batch.size is the maximum amount of data per partition the producer will batch before sending." buffer.memory sets total memory for the producer, not per-batch.
send.buffer.bytes is a TCP socket buffer, not a Kafka config.
max.block.ms controls blocking time, not size.
Reference: Kafka Producer Configs > batch.size
NEW QUESTION # 40
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.
retention.ms = 168 How long will the messages be retained for?
Answer: B
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 41
......
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