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The CCDAK Certification Exam is a comprehensive test that covers a wide range of topics related to Kafka, including its architecture, fundamental concepts, and practical implementation techniques. CCDAK exam is designed to assess the candidate’s ability to create robust and scalable Kafka applications that can handle large volumes of data in real-time. It also evaluates the candidate’s knowledge of Kafka Connect, Kafka Streams, Schema Registry, and other related technologies.

Confluent CCDAK Certification Exam is designed to be challenging and covers a variety of topics, including Kafka core concepts, Kafka ecosystem, developing Kafka producers and consumers, Kafka Connect, Kafka Streams, and several other application development and testing topics. Candidates who pass the certification exam will have demonstrated proficiency in working with the Confluent platform to develop and deploy Kafka-based applications, creating and using Avro schemas, and leveraging various Kafka tools and frameworks.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q68-Q73):

NEW QUESTION # 68
Match each configuration parameter with the correct deployment step in installing a Kafka connector.

Answer:

Explanation:

Explanation:
* 1st:Place the connector's JAR file in the directory specified by plugin.path
* 2nd:Restart the Kafka Connect cluster
* 3rd:Verify using REST API (/connector-plugins)
* 4th:Configure the connector
* 5th:(Repeat of 4th, duplicate step)
1st # Place the connector's JAR file in the directory specified by the plugin.path configuration.
2nd # Restart the Kafka Connect cluster.
3rd # Verify that the connector is installed by listing all available connectors using the Kafka Connect REST API (/connector-plugins).
4th # Configure the connector using a JSON or properties file with the necessary settings.
5th # Configure the connector using a JSON or properties file with the necessary settings.
Kafka Connect requires that custom connectors be placed in the directory defined by plugin.path. After restarting the cluster, you can use the REST API to confirm availability and then deploy the connector configuration.
FromKafka Connect Documentation:
"After placing the JAR in the plugin.path, you must restart the Connect cluster to pick it up. Use the
/connector-plugins REST endpoint to verify."
The duplication of configuration is an error in the question options and should occur only once.
Reference:Kafka Connect Plugin Installation Guide


NEW QUESTION # 69
A producer just sent a message to the leader broker for a topic partition. The producer used acks=1 and therefore the data has not yet been replicated to followers. Under which conditions will the consumer see the message?

Answer: C

Explanation:
The high watermark is an advanced Kafka concept, and is advanced once all the ISR replicates the latest offsets. A consumer can only read up to the value of the High Watermark (which can be less than the highest offset, in the case of acks=1)


NEW QUESTION # 70
Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
Which action should you take in the catch block?

Answer: C

Explanation:
To skip a corrupted record and avoid failing the application, you must seek past the failed offset manually using consumer.seek(). This allows the application to resume consumption from the next offset.
From Kafka Consumer Error Handling Docs:
"On deserialization failure, you can catch RecordDeserializationException, log the error, and call seek() to the next offset to skip the bad record." A does not prevent re-processing the bad record.
C is invalid; there's no skip() method in the Kafka consumer API.
D results in service interruption - not ideal for resiliency.
Reference: Kafka Consumer API - Exception Handling and seek()


NEW QUESTION # 71
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.)

Answer: B,D

Explanation:
For proper delivery handling with acks=all:
* Usecallbackto log or act on success/failure.
* Usetry/catchto handle synchronous exceptions like serialization errors or network failures.
FromKafka Producer Documentation:
"Errors can be caught either via the returned Future<RecordMetadata> or via the callback interface. For fatal errors, use a try/catch block around the send call." Option B is incorrect because send() returns a Future, not RecordMetadata directly.
Option D is invalid - ProducerRecord has no method called status().
Reference:Kafka Producer Error Handling and Callback APIs


NEW QUESTION # 72
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?

Answer: C

Explanation:
To reset offsets for anexisting consumer group, you must use thekafka-consumer-groups.shtool with the -- reset-offsets and --to-earliest flags.
FromKafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets."
* Setting auto.offset.reset=earliest only worksif no committed offset exists.
* Starting a new consumer with the same group won't reset offsets.
* Retention settings don't affect committed offsets.
Reference:Kafka Consumer Group CLI Tool


NEW QUESTION # 73
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