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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. 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) Compaction will keep exactly one message per key after compaction of inactive log segments.
D) 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.
2. 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 provides redundancy in making the initial connection to the Kafka cluster.
B) It is the mechanism to distribute a topic's partitions across multiple brokers.
C) It provides the ability to wake up dormant brokers.
D) It forces clients to enumerate every single broker in the cluster.
3. (A consumer application needs to use an at-most-once delivery semantic.
What is the best consumer configuration and code skeleton to avoid duplicate messages being read?)
A) auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}
B) auto.offset.reset=latest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
C) auto.offset.reset=earliest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}
D) auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
4. (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 the broker default offsets topic.
B) The connector will commit offsets to a topic called connect-offsets.
C) The offsets topic will use the broker default replication factor.
D) The connector will wait 500 ms before trying to commit offsets for tasks.
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) Enable compaction on the output topic to handle duplicates.
B) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Set enable.exactly_once=true in the Kafka Streams configuration.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B,C | Question # 5 Answer: D |







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