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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q57-Q62):
NEW QUESTION # 57
(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 wait 500 ms before trying to commit offsets for tasks.
- B. The connector will commit offsets to the broker default offsets topic.
- C. The connector will commit offsets to a topic called connect-offsets.
- D. The offsets topic will use the broker default replication factor.
Answer: C,D
Explanation:
Apache Kafka Connect stores source connector offsets in a Kafka topic defined by the offset.storage.topic configuration. Since this property is explicitly set to connect-offsets, Kafka Connect will commit offsets to that topic, making Option C correct.
The offset.storage.replication.factor controls how many replicas the offsets topic will have. When this value is set to -1, Kafka Connect uses the broker's default replication factor, as documented in the Kafka Connect worker configuration reference. Therefore, Option A is also correct.
Option B is incorrect because Kafka Connect does not use Kafka's internal consumer offsets topic (__consumer_offsets). It always uses the configured offsets topic. Option D is incorrect because offset.flush.
timeout.ms defines how long Connect will wait for offset commits to complete, not how long it waits before attempting a commit. The commit interval itself is controlled by offset.flush.interval.ms (60 seconds in this case).
Thus, the correct statements that match the expected behavior are A and C.
NEW QUESTION # 58
You have a topic t1 in a Kafka cluster. A producer running on host A can successfully write messages to t1.
Then, you move that producer code to run on host B, but it fails writing messages to t1.
What is a likely reason for that failure?
- A. The producer is connecting to a different broker in the same cluster.
- B. Kafka ACLs are not configured to allow host B's IP address.
- C. Another producer started writing to t1.
- D. Topic T1 no longer exists in the same environment as host B.
Answer: B
NEW QUESTION # 59
(You want to enrich the content of a topic by joining it with key records from a second topic.
The two topics have a different number of partitions.
Which two solutions can you use?
Select two.)
- A. Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
- B. Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
- C. Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
- D. Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.
Answer: A,D
Explanation:
The Apache Kafka Streams documentation defines a co-partitioning requirement for KStream-KTable and KStream-KStream joins. Both input topics must have the same number of partitions and the same key partitioning strategy.
One valid solution is to use a GlobalKTable (Option A). A GlobalKTable is fully replicated to every Kafka Streams instance, removing the co-partitioning requirement. This approach is recommended when the reference data is relatively small and changes infrequently.
Another valid solution is to repartition one topic so that both topics have the same number of partitions (Option B). Kafka Streams provides repartition topics specifically for this purpose, allowing proper KStream- KTable joins.
Option C does not resolve the partition mismatch, as increasing instances does not change partitioning. Option D is incorrect because Kafka Streams does not automatically repartition both topics for joins; repartitioning must be explicitly configured.
Therefore, the correct and officially supported solutions are using a GlobalKTable and explicitly repartitioning one topic.
NEW QUESTION # 60
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.
retention.ms = 168 How long will the messages be retained for?
- A. Broker will not start due to bad configuration
- B. 168 ms
- C. 168 minutes
- D. 168 hours
Answer: B
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 61
Using the Confluent Schema Registry, where are Avro schema stored?
- A. In the message bytes themselves
- B. In the Schema Registry embedded SQL database
- C. In the Zookeeper node /schemas
- D. In the _schemas topic
Answer: D
Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic
NEW QUESTION # 62
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