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The CCDAK exam covers a range of topics related to Kafka, including architecture, configuration, performance tuning, security, and more. CCDAK exam consists of multiple-choice questions and requires candidates to demonstrate their ability to apply their knowledge to real-world scenarios. CCDAK Exam is administered online and can be taken from anywhere in the world. Candidates have 90 minutes to complete the exam, and they must score at least 70% to pass.

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Latest Confluent CCDAK Test Report - CCDAK Reliable Test Preparation

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The CCDAK Certification is an excellent way to demonstrate to potential employers that one has the skills and knowledge required to work with the Kafka platform. It is also an excellent way to stay up-to-date with the latest developments in the Kafka community. Confluent Certified Developer for Apache Kafka Certification Examination certification is highly respected in the industry and is recognized by leading organizations worldwide.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q10-Q15):

NEW QUESTION # 10
Your topic is log compacted and you are sending a message with the key K and value null. What will happen?

Answer: C

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 # 11
In Avro, removing or adding a field that has a default is a __ schema evolution

Answer: B

Explanation:
Clients with new schema will be able to read records saved with old schema and clients with old schema will be able to read records saved with new schema.


NEW QUESTION # 12
A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a consume request is sent to broker?

Answer: A

Explanation:
With this configuration, a single in-sync replica is still readable, but not writeable if the producer using acks=all


NEW QUESTION # 13
(Which configuration is valid for deploying a JDBC Source Connector to read all rows from the orders table and write them to the dbl-orders topic?)

Answer: C

Explanation:
According to the official Apache Kafka Connect and Confluent JDBC Source Connector documentation, the correct connector class for a JDBC source connector is io.confluent.connect.jdbc.JdbcSourceConnector. This connector is used to read data from relational databases and publish each table as a Kafka topic.
To read all rows from a specific table, the configuration must include table.whitelist (or table.include.list in newer versions) with the table name, and a topic.prefix to determine the Kafka topic name. In this case, using topic.prefix=dbl- with table.whitelist=orders results in records being written to the dbl-orders topic, which matches the requirement.
Options A, B, and C are invalid because they reference a non-existent connector class (DdbcSourceConnector), contain unsupported properties such as topic.whitelist for a source connector, or include malformed/incorrect JDBC parameters. Additionally, blacklisting tables does not ensure that only the orders table is read.
Therefore, option D is the only configuration that is syntactically correct, uses the proper connector class, and aligns with the official Kafka Connect JDBC Source Connector documentation.


NEW QUESTION # 14
Which statements are correct about ksqlDB SQL? (Choose 3.)

Answer: A,B,C


NEW QUESTION # 15
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