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Confluent CCDAK (Confluent Certified Developer for Apache Kafka) certification exam is designed for software developers who want to demonstrate their proficiency in building Kafka-based applications. Kafka is an open-source distributed messaging system that allows applications to exchange messages in real-time. It offers a highly scalable, fault-tolerant, and reliable platform for building large-scale distributed systems. The CCDAK Exam Tests the candidate's ability to work with Kafka and its ecosystem components e.g., producer, consumer, connectors, and streams API.
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q144-Q149):
NEW QUESTION # 144
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?
- A. Cross-cluster mirroring
- B. Support for Avro format
- C. Exactly-once delivery
- D. Zero copy
Answer: D
Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status
/1161303431501324293?s=09
NEW QUESTION # 145
To enhance compression, I can increase the chances of batching by using
- A. max.message.size=10MB
- B. batch.size=65536
- C. acks=all
- D. linger.ms=20
Answer: D
Explanation:
linger.ms forces the producer to wait before sending messages, hence increasing the chance of creating batches that can be heavily compressed.
NEW QUESTION # 146
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("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");
- C. consumer.subscribe(Pattern.compile("topic..*"));
- D. consumer.subscribePrefix("topic.");
Answer: A,C
Explanation:
Multiple topics can be passed as a list or regex pattern.
NEW QUESTION # 147
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 148
You have a Kafka client application that has real-time processing requirements.
Which Kafka metric should you monitor?
- A. Consumer lag between brokers and consumers
- B. Consumer heartbeat rate to group coordinator
- C. Aggregate incoming byte rate
- D. Total time to serve requests to replica followers
Answer: A
Explanation:
For real-time applications, thekey metric to monitor is consumer lag- the difference between thelatest offset on the brokerand thelast committed offset by the consumer.
FromKafka Monitoring Guide:
"Consumer lag is the most important metric for real-time applications. It tells you how far behind the consumer is from the latest data in Kafka."
* B relates to replication, not client responsiveness.
* C tracks group membership stability, not data delay.
* D tracks input throughput, not processing latency.
Reference:Kafka Operations > Monitoring > Consumer Lag
NEW QUESTION # 149
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