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| Section | Weight | Objectives |
|---|---|---|
| Apache Kafka Application Development | 28% | - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution |
| Apache Kafka Fundamentals | 23% | - Kafka architecture and data flow - Configuration basics and cluster setup - Delivery semantics: at-most-once, at-least-once, exactly-once - Core concepts: brokers, topics, partitions, replicas, offsets |
| Kafka Connect | 15% | - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns |
| Application Observability | 13% | - Logging and monitoring metrics - Tracing and performance tuning - Error diagnosis and troubleshooting |
| Apache Kafka Streams | 12% | - Error handling and state management - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation - Windowing and time semantics |
| Application Testing | 8% | - Unit testing producers and consumers - Mocking and test utilities - Integration testing and test clusters |
>> CCDAK Exam Objectives Pdf <<
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NEW QUESTION # 29
Once sent to a topic, a message can be modified
Answer: A
Explanation:
Kafka logs are append-only and the data is immutable
NEW QUESTION # 30
Which of these joins does not require input topics to be sharing the same number of partitions?
Answer: A
Explanation:
GlobalKTables have their datasets replicated on each Kafka Streams instance and therefore no repartitioning is required
NEW QUESTION # 31
A consumer sends a request to commit offset 2000. There is a temporary communication problem, so the broker never gets the request and therefore never responds. Meanwhile, the consumer processed another batch and successfully committed offset 3000. What should you do?
Answer: B
Explanation:
In this case, because the offset 3000 has been committed and all the messages between 0 and 3000 have all been processed, it is okay not to have committed offset 2000. The right answer is to do "nothing", this behaviour is acceptable
NEW QUESTION # 32
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?
Answer: A
Explanation:
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.
NEW QUESTION # 33
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?
Answer: D
Explanation:
MessageSizeTooLarge is not a retryable exception.
NEW QUESTION # 34
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