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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?

A) Use a combination of the bank account number and the transaction timestamp as the message key.
B) Use the bank account number found in the message as the message key.
C) Use a unique identifier such as a universally unique identifier (UUID) as the message key.
D) Use the timestamp of the message's arrival as its key.

2. You have a Kafka client application that has real-time processing requirements.
Which Kafka metric should you monitor?

A) Consumer lag between brokers and consumers
B) Consumer heartbeat rate to group coordinator
C) Total time to serve requests to replica followers
D) Aggregate incoming byte rate

3. (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) RegexRouter
B) InsertField
C) HeaderFrom
D) TombstoneHandler

4. You have a topic with four partitions. The application reads from it using two consumers in a single consumer group.
Processing is CPU-bound, and lag is increasing.
What should you do?

A) Increase the max.poll.records property of consumers.
B) Add more consumers to increase the level of parallelism of the processing.
C) Add more partitions to the topic to increase the level of parallelism of the processing.
D) Decrease the max.poll.records property of consumers.

5. 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=ControllerStats,name=UncleanLeaderElectionsPerSec
B) kafka.controller:type=KafkaController,name=ActiveControllerCount
C) kafka.controller:type=KafkaController,name=TopicsToDeleteCount
D) kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
E) kafka.controller:type=KafkaController,name=OfflinePartitionsCount

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