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The CCDAK certification program is designed for developers who are looking to improve their skills and knowledge in Kafka development. Confluent Certified Developer for Apache Kafka Certification Examination certification program provides a comprehensive and structured approach to learning Kafka and its related technologies. By passing the CCDAK certification exam, developers can demonstrate their proficiency in Kafka development, which can lead to better job opportunities and higher salaries. The CCDAK certification program is an excellent way for developers to validate their skills and knowledge in Kafka development, and it is a valuable asset for individuals and organizations that use Kafka for data streaming and processing.

Confluent CCDAK Certification Exam is an excellent opportunity for developers to prove their skills and knowledge in Kafka development using Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is a globally recognized certification that validates the candidate's expertise in Kafka development and Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is a must-have for developers who want to enhance their career prospects and demonstrate their proficiency in Kafka development using Confluent platform.

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The PDFVCE Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) exam dumps are being offered in three different formats. The names of these formats are CCDAK PDF questions file, desktop practice test software, and web-based practice test software. All these three Confluent Certified Developer for Apache Kafka Certification Examination in CCDAK Exam Dumps formats contain the real Confluent CCDAK exam questions that will help you to streamline the CCDAK exam preparation process.

To prepare for the CCDAK Certification Exam, candidates can take advantage of various training resources provided by Confluent. Confluent offers online training courses, workshops, and practice exams to help candidates prepare for the exam. Additionally, candidates can also refer to the Kafka documentation and community resources for further learning.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q58-Q63):

NEW QUESTION # 58
You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?

Answer: C

Explanation:
Kafka Connect can run in standalone mode or distributed mode. For simple tasks like reading logs from a file on a single host, standalone mode is recommended.
From Kafka Connect User Guide:
"Standalone mode is useful when running connectors on a single machine (e.g., for development or simple deployments like log collection from a local file)." Distributed mode is preferred for scalability and fault tolerance but overkill for this use case.
Reference: Kafka Connect User Guide > Deployment Modes


NEW QUESTION # 59
In Avro, removing a field that does not have a default is a __ schema evolution

Answer: C

Explanation:
Clients with new schema will be able to read records saved with old schema.


NEW QUESTION # 60
What Java library is KSQL based on?

Answer: C

Explanation:
KSQL is based on Kafka Streams and allows you to express transformations in the SQL language that get automatically converted to a Kafka Streams program in the backend


NEW QUESTION # 61
(You want to read messages from all partitions of a topic in every consumer instance of your application.
How do you do this?)

Answer: A

Explanation:
According to the Apache Kafka Consumer API documentation, the assign() method allows a consumer to manually assign specific partitions to itself, bypassing Kafka's consumer group coordination and rebalancing mechanism. When a consumer uses assign() with all partitions of a topic, that consumer will read from every partition, regardless of how many other consumers exist.
This behavior is required when every consumer instance must independently read the full dataset, such as in auditing, monitoring, or replication use cases. In contrast, subscribe() is designed for consumer group usage, where partitions are distributed among consumers, ensuring that each partition is consumed by only one consumer in the group.
Option B is invalid because assign() requires a collection of TopicPartition objects, not just a topic name.
Option C still uses group coordination and does not guarantee all partitions per consumer. Option D is invalid because an empty group ID is not supported by Kafka.
Thus, explicitly calling assign() with all topic partitions is the only correct and documented way to ensure each consumer reads from all partitions.


NEW QUESTION # 62
What data format isn't natively available with the Confluent REST Proxy?

Answer: A

Explanation:
Protocol buffers isn't a natively supported type for the Confluent REST Proxy, but you may use the binary format instead


NEW QUESTION # 63
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