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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. (Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1
Which two statements match the expected behavior?
Select two.)

A) The connector will commit offsets to a topic called connect-offsets.
B) The connector will commit offsets to the broker default offsets topic.
C) The connector will wait 500 ms before trying to commit offsets for tasks.
D) The offsets topic will use the broker default replication factor.

2. You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
Which properties must your client include?

A) security.protocol=SSLsasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='myUser' password='myPassword';
B) security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
TlsLoginModule required username='myUser' password='myPassword';
C) security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
D) security.protocol=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';

3. Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
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 needed.
C) Log the bad record and call the consumer.skip() method.
D) Throw a runtime exception to trigger a restart of the application.

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

5. Which is true about topic compaction?

A) When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.
B) When a client produces a new event with an existing key, the old value is overwritten with the new value in the compacted log segment.
C) Topic compaction does not remove old events; instead, when clients consume events from a compacted topic, they store events in a hashmap that maintains the latest value.
D) Compaction will keep exactly one message per key after compaction of inactive log segments.

Solutions: