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| Section | Objectives |
|---|---|
| Kafka Fundamentals | - Data flow in Kafka
|
| Kafka Ecosystem and Confluent Platform | - ksqlDB and connectors
|
| Kafka Streams and Processing | - Kafka Streams API
|
| Kafka Producers and Consumers | - Consumer API
|
1. (You are developing a Kafka Streams application with a complex topology that has multiple sources, processors, sinks, and sub-topologies.
You are working in a development environment and do not have access to a real Kafka cluster or topics.
You need to perform unit testing on your Kafka Streams application.
Which should you use?)
A) TestProducer, TestConsumer
B) MockProducer, MockConsumer
C) KafkaUnitTestDriver
D) TopologyTestDriver
2. 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) Records will be sent to partition 0.
B) Records will be dispatched among the available partitions.
C) Records will be sent to the least used partition.
D) An error will be raised and no record will be sent.
3. (You have a Kafka consumer in production actively reading from a critical topic from which multiple other applications are consuming.
You have a new requirement to update the offset of your consumer to start reading from the beginning of the topic.
Which action would you take?)
A) Update the consumer configuration by setting the auto.offset.reset property to earliest.
B) Start a new consumer application with the same consumer group id.
C) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
D) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
4. (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.)
A) Use a callback argument in producer.send() where you check delivery status.
B) Surround the call to producer.send() with a try/catch block to catch KafkaException.
C) Check the value of ProducerRecord.status().
D) Check that producer.send() returned a RecordMetadata object and is not null.
5. (You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)
A) Set enable.exactly_once=true in the Kafka Streams configuration.
B) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
C) Enable compaction on the output topic to handle duplicates.
D) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A,B | Question # 5 Answer: B |
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