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The CCDAK certification exam covers a wide range of topics related to Kafka development, including Kafka basics, cluster setup, producer and consumer development, Kafka Streams, and Kafka Connect. CCDAK exam is designed to test a developer’s ability to design, develop, and deploy Kafka-based applications using best practices and industry standards. CCDAK Exam is divided into multiple sections, each focusing on a specific area of Kafka development. CCDAK exam requires a deep understanding of Kafka and its related technologies, making it a valuable certification for developers who are interested in building and maintaining Kafka-based applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q70-Q75):

NEW QUESTION # 70
Which tool can you use to modify the replication factor of an existing topic?

A. kafka-reassign-topics.sh
B. kafka-recreate-topic.sh
C. kafka-reassign-partitions.sh
D. kafka-topics.sh

Answer: C

Explanation:
To change the replication factor of an existing topic, you must perform apartition reassignment, because the replication factor is not directly modifiable via kafka-topics.sh. Thekafka-reassign-partitions.shtool is the official command-line utility to handle partition reassignments, including changing the replication factor.
This tool allows you to generate a reassignment JSON specifying new replica assignments per partition and then apply it.
From official documentation:
"To change the replication factor, use the kafka-reassign-partitions tool to assign the partitions to more or fewer brokers." Neither kafka-topics.sh nor kafka-reassign-topics.sh exists for this purpose, and kafka-recreate-topic.sh isnot an official Kafka tool.
Reference:Apache Kafka documentation > Operations > Changing Replication Factor

NEW QUESTION # 71
Your topic is log compacted and you are sending a message with the key K and value null. What will happen?

A. The message will get ignored by the Kafka broker
B. The broker will delete all messages with the key K upon cleanup
C. The producer will throw a Runtime exception
D. The broker will delete the message with the key K and null value only upon cleanup

Answer: B

Explanation:
Sending a message with the null value is called a tombstone in Kafka and will ensure the log compacted topic does not contain any messages with the key K upon compaction

NEW QUESTION # 72
Match each configuration parameter with the correct option.
To answer choose a match for each option from the drop-down. Partial
credit is given for each correct answer.

Answer:

Explanation:

Explanation:
Correct Matches
* path.format#Only valid for some Source Connectors
* value.converter#Valid for all Source Connectors
* input.path#Only valid for some Source Connectors
* errors.retry.timeout#Valid for all Source Connectors
* tasks.max#Valid for all Source Connectors
* path.formatThis is a connector-specific configuration, commonly used by file-based or storage-based source connectors (for example, HDFS, S3, or FilePulse connectors). It isnot part of the Kafka Connect framework itself, so it is only valid for some source connectors.
* value.converterThis is aworker-level configurationthat defines how record values are converted (JSON, Avro, Protobuf, etc.). It applies toall connectorsrunning on the worker unless overridden at the connector level.
* input.pathThis configuration is specific to file-based source connectors (e.g., FileStreamSourceConnector). It isnot universally supported, so it is only valid for some source connectors.
* errors.retry.timeoutThis is part of Kafka Connect'serror handling framework, introduced to support retries and tolerance of transient errors. It is ageneric Connect configurationand valid for all connectors.
* tasks.maxThis is amandatory, generic connector configurationthat controls the maximum number of tasks a connector may create. It is valid forall source (and sink) connectors.

NEW QUESTION # 73
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 # 74
Where are the dynamic configurations for a topic stored?

A. In server.properties
B. In Zookeeper
C. In an internal Kafka topic __topic_configuratins
D. On the Kafka broker file system

Answer: B

Explanation:
Dynamic topic configurations are maintained in Zookeeper.

NEW QUESTION # 75
......

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