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CCDAK : Confluent Certified Developer for Apache Kafka Exam
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Confluent Certified Developer for Apache Kafka
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Question: 354
Which of the following is NOT a valid Kafka Connect connector type?
nk Connector rocessor Connector ransform Connector
wer: C
anation: "Processor Connector" is not a valid Kafka Connect connecto The valid connector types are Source Connector (for importing data i a), Sink Connector (for exporting data from Kafka), and Transform nector (for modifying or transforming data during the import or export ess).
stion: 355
ch of the following is a benefit of using Apache Kafka for real-time d ming?
Source Connector Si P T Ans Expl r type. nto Kafk Con proc Whi ata strea High-latency message delivery Centralized message storage and processing Limited scalability and throughput Inability to handle large volumes of data Fault-tolerance and high availability Answer: E ch of the following is NOT a valid deployment option for Kafka? n-premises deployment loud deployment (e.g., AWS, Azure) ontainerized deployment (e.g., Docker) obile deployment (e.g., Android, iOS) wer: D anation: Mobile deployment (e.g., Android, iOS) is not a valid deploy n for Kafka. Kafka is typically deployed in server or cloud environme ndle high-throughput and real-time data streaming. It is commonly oyed onservers in on-premises data centers or in the cloud, such as A Whi O C C M Ans Expl ment optio nts to ha depl WS (Amazon Web Services) or Azure. Kafka can also be containerized using technologies like Docker and deployed in container orchestration platforms like Kubernetes. However, deploying Kafka on mobile platforms like Android or iOS is not a typical use case. Kafka is designed for server-side data processing and messaging, and it is not optimized for mobile devices. Which of the following is a feature of Kafka Streams? It provides a distributed messaging system for real-time data processing. enables automatic scaling of Kafka clusters based on load. wer: B anation: Kafka Streams supports exactly-once processing semantics f m processing. This means that when processing data streams using Ka ms, each record is processed exactly once, ensuring data integrity and istency. This is achieved through a combination of Kafka's transaction aging and state management features in Kafka Streams. When designing a Kafka consumer application, what is the purpose of sett uto.offset.reset property? It supports exactly-once processing semantics for stream processing. It Ans Expl or strea fka Strea cons al mess the a ing To control the maximum number of messages to be fetched per poll. To specify the topic to consume messages from. To determine the behavior when there is no initial offset in Kafka or if the current offset does not exist. To configure the maximum amount of time the consumer will wait for new messages. Answer: C Explanation: The auto.offset.reset property is used to determine the behavior when there is no initial offset in Kafka or if the current offset does not exist. It specifies whether the consumer should automatically reset the offset to the earliest or latest available offset in such cases. is the role of a Kafka producer? consume messages from Kafka topics and process them. store and manage the data in Kafka topics. replicate Kafka topic data across multiple brokers. publish messages to Kafka topics. wer: D anation: The role of a Kafka producer is to publish messages to Kafka s. Producers are responsible for sending messages to Kafka brokers, w istribute the messages to the appropriate partitions of the specified t ucers can be used to publish data in real-time or batch mode to Kafka er processing or consumption. Que What To To To To Ans Expl topic hich then d opics. Prod for furth Which of the following is a valid way to configure Kafka producer retries? Using the retries property in the producer configuration Using the retry.count property in the producer configuration Using the producer.retries property in the producer configuration Using the producer.retry.count property in the producer configuration Answer: A es that the producer will attempt in case of transient failures. ch of the following is NOT a valid approach for Kafka cluster scalabil ncreasing the number of brokers creasing the number of partitions per topic creasing the replication factor for topics ncreasing the retention period for messages wer: D anation: Increasing the retention period for messages is not a valid oach for Kafka cluster scalability. The retention period determines ho essages are retained within Kafka, but it does not directly impact th Whi ity? I In In I Ans Expl appr w long m e scalability of the cluster. Valid approaches for scalability include increasing the number of brokers, partitions, and replication factor. Which of the following is NOT a core component of Apache Kafka? ZooKeeper Kafka Connect Kafka Streams anation: ZooKeeper, Kafka Connect, and Kafka Streams are all core ponents of Apache Kafka. ZooKeeper is used for coordination, hronization, and configuration management in Kafka. Kafka Connect ework for connecting Kafka with external systems. Kafka Streams is ry for building stream processing applications with Kafka. However, ka Manager" is not a core component of Kafka. It is a third-party tool anaging and monitoring Kafka clusters. ch of the following is true about Kafka replication? afka replication ensures that each message in a topic is stored on mult ers for fault tolerance. afka replication is only applicable to log-compacted topics. Expl com sync is a fram a libra "Kaf used for m Whi K iple brok K Kafka replication allows data to be synchronized between Kafka and external systems. Kafka replication enables compression and encryption of messages in Kafka. Answer: A Explanation: Kafka replication ensures fault tolerance by storing multiple copies of each message in a topic across different Kafka brokers. Each topic partition can have multiple replicas, and Kafka automatically handles replication and leader election to ensure high availability and durability of data. is Kafka log compaction? process that compresses the Kafka log files to save disk space. process that removes duplicate messages from Kafka topics. process that deletes old messages from Kafka topics to free up disk s process that retains only the latest value for each key in a Kafka topic wer: D anation: Kafka log compaction is a process that retains only the latest ach key in a Kafka topic. It ensures that the log maintains a compact sentation of the data, removingany duplicate or obsolete messages. L paction is useful when the retention of the full message history is not red, and only the latest state for each key is needed. A A A pace. A . Ans Expl value for e repre og com requi What is the significance of the acks configuration parameter in the Kafka producer? It determines the number of acknowledgments the leader broker must receive before considering a message as committed. It defines the number of replicas that must acknowledge the message before considering it as committed. It specifies the number of retries the producer will attempt in case of failures before giving up. It sets the maximum size of messages that the producer can send to the broker. anation: The acks configuration parameter in the Kafka producer mines the number of acknowledgments the leader broker must receiv re considering a message as committed. It can be set to "all" (which m sync replicas must acknowledge), "1" (which means only the leader owledge), or a specific number of acknowledgments. ch of the following is NOT a valid method for handling Kafka messag lization? SON vro rotobuf ML deter e befo eans all in- must ackn Whi e seria J A P X Answer: D Explanation: "XML" is not a valid method for handling Kafka message serialization. Kafka supports various serialization formats such as JSON, Avro, and Protobuf, but not XML. Which of the following is the correct command to create a new consumer group in Apache Kafka? afka-consumer-groups.sh --create --group my_group afka-consumer-groups.sh --bootstrap-server localhost:2181 --create -- group afka-consumer-groups.sh --group my_group --create wer: A anation: The correct command to create a new consumer group in Ap a is "kafka-consumer-groups.sh --bootstrap-server localhost:9092 --cr up my_group". This command creates a new consumer group with th fied group name. The "--bootstrap-server" option specifies the Kafka strap server, and the "--group" option specifies the consumer group na ther options mentioned either have incorrect parameters or do not in ecessary bootstrap server information.
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