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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q11-Q16):

NEW QUESTION # 11
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_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
D. security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';

Answer: D

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 # 12
(You need to send a JSON message on the wire. The message key is a string.
How would you do this?)

A. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to null.
B. Specify a key serializer class for the JSON contents of the message's value. Set the value serializer class to null.
C. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to JSON.
D. Specify a value serializer class for the JSON contents of the message's value. Set a key serializer for the string value.

Answer: D

Explanation:
According to the Apache Kafka producer documentation, serialization is configured independently for message keys and values. The key and value can use different serializers depending on their data types.
In this scenario, the message key is a string, so the producer must be configured with org.apache.kafka.
common.serialization.StringSerializer for the key. The value contains JSON, so a suitable JSON serializer must be configured for the value, such as a custom JSON serializer, a library-based serializer, or a byte-array serializer after converting the JSON to bytes.
Option B correctly reflects this separation by specifying a string serializer for the key and a JSON serializer for the value. Kafka does not automatically infer serializers, and setting a serializer to null is invalid.
Additionally, there is no built-in "JSON" serializer for keys, making Option D incorrect.
Therefore, the correct approach-fully aligned with Kafka's producer configuration model-is to explicitly configure a StringSerializer for the key and a JSON-capable serializer for the value.

NEW QUESTION # 13
(You are writing a producer application and need to ensure proper delivery.
You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
Select two.)

A. Surround the call to producer.send() with a try/catch block to catch KafkaException.
B. Check the value of ProducerRecord.status().
C. Use a callback argument in producer.send() where you check delivery status.
D. Check that producer.send() returned a RecordMetadata object and is not null.

Answer: A,C

Explanation:
The Apache Kafka producer API is asynchronous by default, and proper error handling requires explicit mechanisms. The official documentation recommends using a callback function with producer.send() to determine whether a record was successfully acknowledged or failed due to an exception. The callback provides access to both RecordMetadata and any exception encountered during sending.
Additionally, certain errors-such as serialization errors or configuration issues-are thrown synchronously when calling producer.send(). These must be handled using a try/catch block that catches KafkaException or its subclasses.
Option A is invalid because ProducerRecord has no status() method. Option C is incorrect because producer.
send() returns a Future<RecordMetadata>, not a RecordMetadata object directly.
Thus, combining a callback for asynchronous errors and a try/catch block for synchronous errors is the correct and officially documented approach to ensure reliable producer error handling when using acks=all.

NEW QUESTION # 14
How do you create a topic named test with 3 partitions and 3 replicas using the Kafka CLI?

A. bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 3 --partitions 3 --topic test
B. bin/kafka-topics.sh --create --bootstrap-server localhost:2181 --replication-factor 3 --partitions 3 --topic test
C. bin/kafka-topics-create.sh --zookeeper localhost:9092 --replication-factor 3 --partitions 3 --topic test
D. bin/kafka-topics.sh --create --broker-list localhost:9092 --replication-factor 3 --partitions 3 --topic test

Answer: A

Explanation:
As of Kafka 2.3, the kafka-topics.sh command can take --bootstrap-server localhost:9092 as an argument.
You could also use the (now deprecated) option of --zookeeper localhost:2181.

NEW QUESTION # 15
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

A. MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately
B. KafkaProducer divides messages into sizes of message.max.bytes and sends them in order
C. KafkaProducer divides messages into sizes of max.request.size and sends them in order
D. MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted

Answer: A

Explanation:
MessageSizeTooLarge is not a retryable exception.

NEW QUESTION # 16
......

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CCDAK Download & Exam CCDAK Experience

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q11-Q16):

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