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Earning the CCDAK certification is a valuable credential for professionals seeking to advance their careers in data streaming and messaging. Confluent Certified Developer for Apache Kafka Certification Examination certification demonstrates to employers and peers that the holder has a deep understanding of Kafka and is capable of designing, developing, and managing Kafka-based solutions. Additionally, certified professionals are listed in the Confluent Certified Developer directory, which provides them with visibility and networking opportunities. Overall, the CCDAK exam is an excellent investment for professionals seeking to increase their marketability and advance their careers in the rapidly growing field of data streaming and messaging.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Examination is a comprehensive test designed to evaluate the proficiency of developers in building and maintaining Apache Kafka-based applications. CCDAK exam is targeted towards software developers, data architects, and data engineers who are looking for a way to validate their knowledge and skills in building real-time, scalable, and fault-tolerant distributed systems using Apache Kafka.

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A lot of progress is being made in the Confluent sector today. Many companies offer job opportunities to qualified candidates, but they have specific CCDAK certification criteria to select qualified candidates. Thus, they can filter out effective and qualified candidates from the population. Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) must be taken and passed to become a certified individual.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q129-Q134):

NEW QUESTION # 129
You are managing the schema of data in a Kafka Topic using Schema Registry. You need to add new fields to the message schema. You need to select a compatibility type that allows you to add required fields, delete optional fields, and allows consumers to read all previous versions of the schema.
Which compatibility type is correct?

A. BACKWARD
B. FORWARD
C. FULL_TRANSITIVE
D. FORWARD_TRANSITIVE

Answer: C

NEW QUESTION # 130
Consumer failed to process record # 10 and succeeded in processing record # 11. Select the course of action that you should choose to guarantee at least once processing

A. Commit offsets at 10
B. Commit offsets at 11
C. Do not commit until successfully processing the record #10

Answer: B

Explanation:
Here, you shouldn't commit offsets 11 or 10 as it would indicate that the message #10 has been processed successfully.

NEW QUESTION # 131
If a topic has a replication factor of 3...

A. Each partition will live on 4 different brokers
B. 3 replicas of the same data will live on 1 broker
C. Each partition will live on 2 different brokers
D. Each partition will live on 3 different brokers

Answer: D

Explanation:
Replicas are spread across available brokers, and each replica = one broker. RF 3 = 3 brokers

NEW QUESTION # 132
How often is log compaction evaluated?

A. Every time a message is flushed to disk
B. Every time a message is sent to Kafka
C. Every time a new partition is created
D. Every time a segment is closed

Answer: D

Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)

NEW QUESTION # 133
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?

A. Message order not preserved
B. At least once delivery is not guaranteed
C. Less resilient
D. Reduce throughput

Answer: A

Explanation:
Some messages may require multiple retries. If there are more than 1 requests in flight, it may result in messages received out of order. Note an exception to this rule is if you enable the producer settingenable.idempotence=true which takes care of the out of ordering case on its own. Seehttps://issues.apache.org/jira/browse/KAFKA-5494

NEW QUESTION # 134
......

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