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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. (You are developing a Kafka Streams application with a complex topology that has multiple sources, processors, sinks, and sub-topologies.
You are working in a development environment and do not have access to a real Kafka cluster or topics.
You need to perform unit testing on your Kafka Streams application.
Which should you use?)

A) TestProducer, TestConsumer
B) KafkaUnitTestDriver
C) TopologyTestDriver
D) MockProducer, MockConsumer

2. (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": "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*"}
B) {"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"}
C) {"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"}
D) {"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"}

3. You create a topic named stream-logs with:
A replication factor of 3
Four partitions
Messages that are plain logs without a keyHow will messages be distributed across partitions?

A) Messages will be distributed among all the topic partitions with strict ordering.
B) Messages will be distributed round-robin among all the topic partitions.
C) All messages will be written to the same log segment.
D) The first message will always be written to partition 0.

4. (You are experiencing low throughput from a Java producer.
Kafka producer metrics show a low I/O thread ratio and low I/O thread wait ratio.
What is the most likely cause of the slow producer performance?)

A) The producer is sending large batches of messages.
B) The producer code has an expensive callback function.
C) Compression is enabled.
D) There is a bad data link layer (Layer 2) connection from the producer to the cluster.

5. (Your application consumes from a topic configured with a deserializer.
You want the application to be resilient to badly formatted records (poison pills).
You surround the poll() call with a try/catch block for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing other records.
Which action should you take in the catch block?)

A) Log the bad record and seek the consumer to the offset of the next record.
B) Log the bad record; no other action is needed.
C) Throw a runtime exception to trigger a restart of the application.
D) Log the bad record and call consumer.skip() method.

Solutions: