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Confluent Certified Developer for Apache Kafka (CCDAK) certification exam is a professional-level exam designed to test the skills and knowledge required to develop and deploy Kafka-based solutions. CCDAK Exam is intended for developers who are experienced in Apache Kafka and are seeking to validate their skills and knowledge with a recognized certification.
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The CCDAK certification is an important credential for developers who want to demonstrate their expertise in working with Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, which is the company that created Kafka. Confluent is a leading provider of data streaming platforms, and the CCDAK Certification is recognized as a valuable credential by many organizations in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to be accessible to developers of all levels of experience, from beginners to experts.
NEW QUESTION # 39
(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.)
Answer: B,C
Explanation:
The Apache Kafka producer API is asynchronous by default, and proper error handling requires explicit mechanisms. The official documentation recommends using a callback function with producer.send() to determine whether a record was successfully acknowledged or failed due to an exception. The callback provides access to both RecordMetadata and any exception encountered during sending.
Additionally, certain errors-such as serialization errors or configuration issues-are thrown synchronously when calling producer.send(). These must be handled using a try/catch block that catches KafkaException or its subclasses.
Option A is invalid because ProducerRecord has no status() method. Option C is incorrect because producer.
send() returns a Future<RecordMetadata>, not a RecordMetadata object directly.
Thus, combining a callback for asynchronous errors and a try/catch block for synchronous errors is the correct and officially documented approach to ensure reliable producer error handling when using acks=all.
NEW QUESTION # 40
Which of the following is true regarding thread safety in the Java Kafka Clients?
Answer: B,D
Explanation:
KafkaConsumer is not thread-safe, KafkaProducer is thread safe.
NEW QUESTION # 41
Which of the following Kafka Streams operators are stateful? (select all that apply)
Answer: A,B,D,E
Explanation:
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateful-transformations
NEW QUESTION # 42
If I want to send binary data through the REST proxy, it needs to be base64 encoded. Which component needs to encode the binary data into base 64?
Answer: D
Explanation:
The REST Proxy requires to receive data over REST that is already base64 encoded, hence it is the responsibility of the producer
NEW QUESTION # 43
You are working on a Kafka cluster with three nodes. You create a topic named orders with:
* replication.factor = 3
* min.insync.replicas = 2
* acks = allWhat exception will be generated if two brokers are down due to network delay?
Answer: B
Explanation:
With acks=all and min.insync.replicas=2, Kafka requiresat least two in-sync replicasto acknowledge a write.
If onlyone broker is alive, the condition fails, andNotEnoughReplicasExceptionis thrown by the producer.
FromKafka Producer Exception Docs:
"NotEnoughReplicasException is thrown when the number of in-sync replicas is insufficient to satisfy acks=all with min.insync.replicas."
* NetworkException is generic and not raised here.
* NotCoordinatorException is related to consumer group coordination.
* NotLeaderForPartitionException is unrelated unless accessing an unassigned leader.
Reference:Kafka Producer Error Handling
NEW QUESTION # 44
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