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The CCDAK Certification Exam is designed to test the skills and knowledge of developers who work with Apache Kafka to build scalable, real-time data processing applications. CCDAK exam covers a range of topics, including Kafka fundamentals, Kafka architecture, Kafka API, and Kafka streams. CCDAK exam is intended to help developers demonstrate their proficiency in working with Kafka and differentiate themselves in the job market.
Confluent CCDAK Exam is intended for individuals who have a good understanding of Kafka and have experience with Kafka development. CCDAK exam is a great opportunity for developers to showcase their Kafka skills and improve their career prospects. A successful candidate will receive a digital badge and a certificate that can be shared on professional networking sites such as LinkedIn.
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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is designed to test the knowledge and skills of developers working with Apache Kafka. The CCDAK Exam is a vendor-neutral certification that is recognized globally and is considered as the industry standard for Kafka developers. Passing the exam is a great way to demonstrate your expertise in Kafka and can help you stand out in a competitive job market.
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q122-Q127):
NEW QUESTION # 122
This schema excerpt is an example of which schema format?
package com.mycorp.mynamespace;
message SampleRecord {
int32 Stock = 1;
double Price = 2;
string Product_Name = 3;
}
- A. YAML
- B. Avro
- C. JSON Schema
- D. Protobuf
Answer: D
Explanation:
This syntax is a clear match toProtocol Buffers (Protobuf). It defines a schema with fields, types, and tags, which is a format supported by Kafka when usingProtobuf-based schema registry serialization.
FromConfluent Schema Registry Docs:
"Kafka supports Protobuf serialization, where schemas are written in .proto files and include fields with tags."
* int32, double, and string are standard Protobuf types.
* Avro uses JSON-style schema.
* JSON Schema uses JSON object structure, not .proto.
* YAML is unrelated.
Reference:Confluent Schema Registry for Protobuf
NEW QUESTION # 123
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.
sports, topic.politics? (select two)
- A. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));
- B. consumer.subscribe(Pattern.compile("topic..*"));
- C. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.
politics"); - D. consumer.subscribePrefix("topic.");
Answer: A,B
Explanation:
Multiple topics can be passed as a list or regex pattern.
NEW QUESTION # 124
Which statement is true about how exactly-once semantics (EOS) work in Kafka Streams?
- A. EOS in Kafka Streams is implemented by creating a separate Kafka topic for deduplication of all messages processed by the application.
- B. Kafka Streams disables log compaction on internal changelog topics to preserve all state changes for potential recovery.
- C. Kafka Streams provides EOS by periodically checkpointing state stores and replaying changelogs to recover only unprocessed messages during failure.
- D. EOS in Kafka Streams relies on transactional producers to atomically commit state updates to changelog topics and output records to Kafka.
Answer: D
Explanation:
Kafka Streams usestransactional producersto guaranteeexactly-once semantics (EOS). This ensures that both theoutput recordsandstate store updatesare committed atomically, avoiding duplication or partial writes.
FromKafka Streams Documentation > Processing Guarantees:
"Kafka Streams leveragesKafka's transactional APIsto commit the output records and internal state updates as a single atomic unit, thereby providing exactly-once semantics."
* Option A is incorrect because log compaction is not disabled for EOS.
* Option C incorrectly describes a checkpointing system Kafka Streams does not use.
* Option D refers to deduplication, which is not how EOS is achieved in Streams.
Reference:Kafka Streams Processing Guarantees
NEW QUESTION # 125
A Zookeeper ensemble contains 3 servers. Over which ports the members of the ensemble should be able to communicate in default configuration? (select three)
- A. 0
- B. 1
- C. 2
- D. 3
- E. 4
- F. 5
Answer: A,E,F
Explanation:
2181 - client port, 2888 - peer port, 3888 - leader port
NEW QUESTION # 126
A Kafka producer application wants to send log messages to a topic that does not include any key. What are the properties that are mandatory to configure for the producer configuration? (select three)
- A. value.serializer
- B. key
- C. value
- D. bootstrap.servers
- E. partition
- F. key.serializer
Answer: A,D,F
Explanation:
Both key and value serializer are mandatory.
NEW QUESTION # 127
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