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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:	CCDAK
Exam Price:	$150 USD
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAAK)
Real Exam Qty:	60
Available Languages:	English
Certificate Validity Period:	3 years
Passing Score:	Approximately 60%
Exam Duration:	90 minutes
Exam Format:	Multiple Choice (Multiple Answers), Multiple Choice (Single Answer)
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Online proctored exam (Pearson VUE) or in-person testing center
Pre Condition:	Recommended: 6+ months of hands-on experience with Apache Kafka and Confluent Platform. Familiarity with distributed systems concepts is strongly recommended.
Official Syllabus URL:	https://www.confluent.io/certification/

>> CCDAK資料的中率 <<

CCDAK認定試験 & CCDAK模擬モード

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Confluent Certified Developer for Apache Kafka Certification Examination 認定 CCDAK 試験問題 (Q25-Q30):

質問 # 25
If I supply the setting compression.type=snappy to my producer, what will happen? (select two)

A. The Consumers have to compress the data
B. The Producers have to compress the data
C. The Kafka brokers have to compress the data
D. The Kafka brokers have to de-compress the data
E. The Consumers have to de-compress the data

正解：E

解説：
Kafka transfers data with zero copy and no transformation. Any transformation (including compression) is the responsibility of clients.

質問 # 26
Match each configuration parameter with the correct deployment step in installing a Kafka connector.

正解：

解説：

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.
From Kafka 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

質問 # 27
Using the Confluent Schema Registry, where are Avro schema stored?

A. In the _schemas topic
B. In the Schema Registry embedded SQL database
C. In the Zookeeper node /schemas
D. In the message bytes themselves

正解：A

解説：
The Schema Registry stores all the schemas in the _schemas Kafka topic

質問 # 28
A customer has many consumer applications that process messages from a Kafka topic. Each consumer application can only process 50 MB/s. Your customer wants to achieve a target throughput of 1 GB/s. What is the minimum number of partitions will you suggest to the customer for that particular topic?

A. 0
B. 1
C. 2
D. 3

正解：B

解説：
each consumer can process only 50 MB/s, so we need at least 20 consumers consuming one partition so that 50 * 20 = 1000 MB target is achieved.

質問 # 29
(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?)

A. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&useAutoAuth=true","topic.
prefix": "dbl-","table.whitelist": "orders"}
B. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.whitelist": "orders"}
C. {"name": "orders-connect","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl","topic.whitelist": "orders","auto.create":
"true"}
D. {"name": "dbl-orders","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.blacklist": "ord*"}

正解：B

解説：
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.

質問 # 30
......

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