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CCDAK Exam Dumps : Confluent Certified Developer for Apache Kafka Certification Examination

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Confluent Certified Developer for Apache Kafka Certification Examination Questions and Answers

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Question 1

(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?)

Options:

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": "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*"}

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"}

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Question 2

You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.

Which statement is correct?

Options:

A.

Partitions assigned to a consumer may change.

B.

Previous log files are deleted.

C.

Offsets are compacted.

D.

Partition leaders may change.

Question 3

Your application is consuming from a topic with one consumer group.

The number of running consumers is equal to the number of partitions.

Application logs show that some consumers are leaving the consumer group during peak time, triggering a rebalance. You also notice that your application is processing many duplicates.

You need to stop consumers from leaving the consumer group.

What should you do?

Options:

A.

Reduce max.poll.records property.

B.

Increase session.timeout.ms property.

C.

Add more consumer instances.

D.

Split consumers in different consumer groups.

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