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Earning the CCDAK Certification is a great way to showcase your expertise in Kafka and gain recognition in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years, and to maintain it, you need to either retake the exam or earn a higher-level certification offered by Confluent.

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Confluent CCDAK certification exam is a rigorous examination that requires candidates to pass a series of comprehensive tests. Confluent Certified Developer for Apache Kafka Certification Examination certification is intended for developers who have a deep understanding of Kafka and have experience with it. CCDAK Exam is designed to test the knowledge and skills of developers in Kafka and related technologies, and it is recognized globally as a standard for Kafka developers.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q89-Q94):

NEW QUESTION # 89
You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
Which properties must your client include?

A. security.protocol=SSLsasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='myUser' password='myPassword';
B. security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
TlsLoginModule required username='myUser' password='myPassword';
C. security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
D. security.protocol=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';

Answer: C

Explanation:
For SASL/PLAIN authentication over SSL, the correct combination is:
security.protocol=SASL_SSL
sasl.jaas.config=...PlainLoginModule required username=... password=...
From Kafka Security Documentation:
"For SASL/PLAIN over SSL, configure security.protocol=SASL_SSL and provide login module configuration using sasl.jaas.config." Options B and D are incorrect because they do not pair the correct protocol with the authentication method.
Reference: Apache Kafka Security Configs > SASL_SSL, PLAIN mechanism

NEW QUESTION # 90
You need to consume messages from Kafka using the command-line interface (CLI).
Which command should you use?

A. kafka-console-consumer
B. kafka-get-messages
C. kafka-consume
D. kafka-consumer

Answer: A

Explanation:
The official CLI utility for consuming messages from Kafka topics is kafka-console-consumer.sh. It connects to the broker, consumes messages, and prints them to standard output.
FromKafka CLI Tools Documentation:
"kafka-console-consumer.sh is used to read data from a Kafka topic and write it to standard output." The other options are not valid Kafka CLI tools.
Reference:Apache Kafka Documentation > kafka-console-consumer.sh

NEW QUESTION # 91
A consumer wants to read messages from a specific partition of a topic. How can this be achieved?

A. Call assign() passing a Collection of TopicPartitions as the argument
B. Call subscribe() passing TopicPartition as the argument
C. Call subscribe(String topic, int partition) passing the topic and partition number as the arguments

Answer: A

Explanation:
assign() can be used for manual assignment of a partition to a consumer, in which case subscribe() must not be used. Assign() takes a collection of TopicPartition object as an argument https://kafka.apache.org/23
/javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-

NEW QUESTION # 92
You are creating a Kafka Streams application to process retail data.
Match the input data streams with the appropriate Kafka Streams object.

Answer:

Explanation:

Explanation:
Table # Product, Customers
Stream # Orders_Placed, Shipment_Of_Orders
Tables represent slowly changing, reference data - e.g., customer profiles, product info.
Streams represent real-time event data - e.g., orders placed, shipments processed.
From Kafka Streams Documentation:
"Use KTable for reference datasets, and KStream for event-based processing such as orders or logs." Reference: Kafka Streams API Concepts

NEW QUESTION # 93
How often is log compaction evaluated?

A. Every time a message is flushed to disk
B. Every time a message is sent to Kafka
C. Every time a segment is closed
D. Every time a new partition is created

Answer: C

Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)

NEW QUESTION # 94
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