Kafka interview questions and answers(MCQ): Test Your Knowledge! How does Kafka handle consumer lag? By using ZooKeeper By monitoring the difference between the last produced offset and the last consumed offset By compressing messages By using SSL/TLSWhat is the difference between a push and pull model in Kafka?Consumers pull data, producers push dataConsumers push data, producers pull dataBoth consumers and producers push dataBoth consumers and producers pull dataWhich Kafka feature allows for exactly-once delivery semantics? Idempotent Producer Transactional Producer Exactly-Once Consumer Guaranteed DeliveryWhich Kafka feature allows for processing streams of data incrementally? Kafka Streams Kafka Connect Kafka REST Proxy Kafka Mirror MakerWhich Kafka protocol is used for communication between producers and brokers?Kafka ProtocolProducer ProtocolBroker ProtocolClient-Server ProtocolWhat is the purpose of a Kafka topic?To categorize and organize messagesTo authenticate usersTo compress dataTo manage consumer groupsHow does Kafka handle data stream filtering with predicates?Using Kafka StreamsAutomatically in brokersOnly in producersNot supportedIn which domain is Kafka commonly used for real-time log aggregation and analysis?IT operations and monitoringOnly in financial servicesExclusively in e-commerceKafka is not used for log aggregationWhich Kafka feature allows for exactly-once processing semantics in stream processing?Transactional ProducerIdempotent ConsumerExactly-Once StreamsGuaranteed ProcessingWhat is the purpose of a graceful shutdown in Kafka consumers?To ensure proper offset commits and group rebalancingTo compress remaining messagesTo delete consumer group metadataTo notify producers of shutdownWhat are some examples of data that are transferred through Apache Kafka? Logs Metrics Clickstream data All of the aboveHow can you secure Kafka? By using SSL/TLS By using data encryption By using access control lists (ACLs) All of the aboveWhich Kafka feature allows for dynamically updating broker configurations without restart?Dynamic ConfigurationRolling RestartConfiguration ManagementHot ReloadWhich Kafka tool is used for verifying the consistency of the logs? kafka-verify-logs.sh kafka-check-logs.sh kafka-validate-logs.sh kafka-log-checker.shIn Kafka, what does the leader.imbalance.check.interval.seconds configuration do?Controls how often to check for partition leader imbalanceSets the consumer poll intervalDefines producer batch intervalConfigures broker heartbeat intervalHow does Kafka handle message timestamps? By using ZooKeeper By adding timestamps to each message at the producer level By compressing messages By using SSL/TLSWhat are the required Kafka properties? bootstrap.servers, key.serializer, value.serializer bootstrap.servers, broker.id, log.dirs broker.id, log.dirs, zookeeper.connect zookeeper.connect, key.serializer, value.serializerWhich of the following is not a valid Kafka producer retries behavior?Exponential backoffLinear backoffJitterConstantHow does Kafka handle data stream denormalization with custom serdes?Using Kafka Streams APIAutomatically in brokersOnly in producersNot supportedWhat is the difference between message brokers and message queue? Brokers manage queues Brokers do not manage queues Queues manage brokers No differenceHow does Kafka handle message compression for producers?Compresses messages before sendingDoesn\\\'t support compressionOnly compresses large messagesOnly supports specific algorithmsHow do you handle message ordering in Spring AMQP and Spring Pub-Sub? By using partition keys By using message priorities By using consumer groups Spring AMQP does not support ordering; Spring Pub-Sub supports ordering within a topicWhat is the purpose of the group.initial.rebalance.delay.ms configuration in Kafka?To delay the initial consumer rebalanceTo set the frequency of consumer rebalancesTo set the timeout for consumer rebalancesTo set the maximum time for a consumer rebalanceWhich of the following is NOT a typical use case for Apache Kafka?Real-time streamingLog aggregationMetrics collectionRelational database replacementWhat is the purpose of Kafka\\\'s __consumer_offsets topic compaction?To reduce storage size of consumer offsetsTo encrypt consumer dataTo improve read performanceTo handle authentication Score: 0/25 Retake Quiz Next Set of Questions