CCDAK 無料問題集「Confluent Certified Developer for Apache Kafka Certification Examination」

（A）breaking

（B）backward

（C）full

（D）forward

（A）Messages can be consumed by a maximum of five consumers in the same consumer group.

（B）All the messages will be read from exactly one Broker by the consumer group.

（C）The consumer group can only read the same number of messages from all the partitions.

（D）Messages read from any one partition by the consumer group will all have exactly the same key.

（A）You may increase the partition count and Kafka will leave the existing data on the original partitions.

（B）You may decrease the partition count if you increase the replication count.

（C）You may decrease the partition count if you change the partitioning algorithm.

（D）You may increase the partition count and Kafka will ensure the message ordering remains the same.

（A）You can use the same broker.id as long as they have different broker.rack configuration

（B）Replicas for a partition are placed in the same rack

（C）Replicas for a partition are spread across different racks

（D）Each rack contains all the topics and partitions, effectively making Kafka highly available

（A）Commit offsets at 10

（B）Commit offsets at 11

（C）Do not commit until successfully processing the record #10

（A）When the producer puts the message into its socket buffer

（B）When the producer batches the message

（C）When a consumer sends an acknowledgement to the producer

（D）When a broker sends an acknowledgement to the producer

（A）Purchase as stream, Product as table, Customer as stream

（B）Purchase as stream, Product as stream, Customer as stream

（C）Purchase as stream, Product as table, Customer as table

（D）Purchase as table, Product as table, Customer as table

（A）MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted

（B）KafkaProducer divides messages into sizes of message.max.bytes and sends them in order

（C）KafkaProducer divides messages into sizes of max.request.size and sends them in order

（D）MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately

（A）contains only a subset of the topics and the partitions

（B）knows the metadata for the topics and partitions it has on its disk

（C）contains all the topics and all the partitions

（D）knows all the metadata for all topics and partitions

（E）is a controller

（F）is a bootstrap broker

（A）automatically generated from an Avro Schema + a Maven / Gradle Plugin

（B）written manually by the programmer

（C）automatically generated from an Avro Schema