CCDAK Minimum Pass Score, CCDAK Valid Test Sample

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The Confluent CCDAK exam is designed to test the candidate's knowledge in various areas such as Kafka architecture, deployment, Kafka configuration, message producers, message consumers, Kafka Streams, and Kafka Connect. CCDAK exam consists of 60 multiple-choice questions and must be completed within 90 minutes.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) is a certification exam designed to test the skills and knowledge of developers who work with Apache Kafka. CCDAK Exam is based on a set of industry-standard best practices and is designed to validate the skills of developers who work with Kafka. CCDAK exam is designed to be challenging, but fair, and is intended to provide a reliable measure of a developer's ability to work with Kafka.

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The CCDAK certification exam is designed to test the proficiency of developers in building Kafka-based solutions. CCDAK exam covers various topics such as Kafka architecture, configuration, messaging, API, and security. By achieving the CCDAK Certification, developers can demonstrate their understanding of Kafka concepts and their ability to build scalable and fault-tolerant Kafka applications.

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

NEW QUESTION # 58
Which configuration is used to determine which directory the connectors are stored in?

A. status.storage.topic
B. group.id
C. plugin.path
D. offset.storage.topic

Answer: C

NEW QUESTION # 59
An application is consuming messages from Kafka. You observe partitions being frequently reassigned to the consumer group from the application logs.
Which factors may be contributing to this? (Choose 2.)

A. There is a storage issue on the broker.
B. The number of partitions is not matching the number of application instances.
C. There is a slow consumer processing application.
D. An instance of the application is crashing and getting restarted

Answer: C

NEW QUESTION # 60
To read data from a topic, the following configuration is needed for the consumers

A. the list of brokers that have the data, the topic name and the partitions list
B. all brokers of the cluster, and the topic name
C. any broker to connect to, and the topic name
D. any broker, and the list of topic partitions

Answer: C

Explanation:
All brokers can respond to Metadata request, so a client can connect to any broker in the cluster.

NEW QUESTION # 61
When is the onCompletion() method called?
private class ProducerCallback implements Callback {
@Override
public void onCompletion(RecordMetadata recordMetadata, Exception e) {
if (e != null) {
e.printStackTrace();
}
}
}
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
producer.send(record, new ProducerCallback());

A. When send() method is called
B. When the broker response is received
C. When message is serialized successfully
D. When the message is partitioned and batched successfully

Answer: B

Explanation:
Callback is invoked when a broker response is received.

NEW QUESTION # 62
Which configuration allows more time for the consumer poll to process records?

A. session.timeout.ms
B. fetch.max.wait.ms
C. max.poll.interval.ms
D. heartbeat.interval.ms

Answer: C

Explanation:
max.poll.interval.ms defines the maximum delay between invocations of poll() before the consumer is considered failed. It essentially gives consumers more time to process records before needing to poll again.
From Kafka Consumer Configuration Reference:
"max.poll.interval.ms: The maximum delay between invocations of poll() when using consumer group management. If poll() is not called before expiration, the consumer is considered failed." session.timeout.ms and heartbeat.interval.ms relate to group coordination and heartbeats.
fetch.max.wait.ms affects how long the broker waits to accumulate data before sending a fetch response.
Reference: Apache Kafka Consumer Configs

NEW QUESTION # 63
......

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