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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. You are sending messages to a Kafka cluster in JSON format and want to add more information related to each message:
Format of the message payload
Message creation time
A globally unique identifier that allows the message to be traced through the systemWhere should this additional information be set?

A) Key
B) Header
C) Broker
D) Value

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

3. Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.servers parameter.
What is the primary advantage of specifying more than one broker?

A) It forces clients to enumerate every single broker in the cluster.
B) It provides redundancy in making the initial connection to the Kafka cluster.
C) It is the mechanism to distribute a topic's partitions across multiple brokers.
D) It provides the ability to wake up dormant brokers.

4. (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": "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"}
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": "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*"}
D) {"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"}

5. (You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

A) Set enable.exactly_once=true in the Kafka Streams configuration.
B) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
D) Enable compaction on the output topic to handle duplicates.

Solutions: