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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam |
| Exam Number: | CCDAK |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Format: | Multiple select, Multiple choice |
| Related Certifications: | Confluent Certified Developer for Apache Kafka (CCDAK) Confluent Certified Administrator for Apache Kafka (CCAK) |
| Exam Price: | $150 USD |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Passing Score: | 70% |
| Recommended Training: | Kafka Fundamentals Course Apache Kafka Developer Training (Confluent) |
| Exam Registration: | Confluent Certification Portal Confluent Training and Exams |
| Sample Questions: | Confluent CCDAK Sample Questions |
| Exam Way: | Online proctored exam or authorized testing center |
| Pre Condition: | Basic understanding of Java or another JVM language and familiarity with distributed systems concepts is recommended. |
| Official Syllabus URL: | https://www.confluent.io/certification/ |
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Apache Kafka has become one of the most popular open-source distributed streaming platforms used by software developers and data engineers. Kafka is used for building real-time data pipelines and streaming applications, making it a crucial component of the modern data architecture. To validate the knowledge and expertise of developers working with Kafka, Confluent has introduced the Confluent Certified Developer for Apache Kafka (CCDAK) certification exam.
NEW QUESTION # 43
A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
What is the result of this?
Answer: D
Explanation:
If a key isnot specified, thedefault Kafka partitioner uses round-robinlogic to assign partitions. This leads toeven distributionof messages across all partitions.
FromKafka Producer Design:
"If the key is null, the producer will assign the partition in a round-robin fashion to achieve load balancing." There isno error, and partition 0 isnot alwayschosen in this case.
Reference:Kafka Producer Partitioner Behavior - Official Docs
NEW QUESTION # 44
Your company has three Kafka clusters: Development, Testing, and Production.
The Production cluster is running out of storage, so you add a new node.
Which two statements about the new node are true?
(Select two.)
Answer: A,C
Explanation:
* C is true: When a new broker is added,no partitions are assigned to itunless you create new topics or reassign existing onesusing kafka-reassign-partitions.sh.
* D is true: Kafka brokers arehot-pluggable; no need to stop the cluster when scaling.
FromKafka Operations Guide:
"A newly added broker won't be assigned partitions until reassignments or new topic creation."
"Kafka allows dynamic scaling by adding brokers without downtime."
* A is false: Broker IDs must bemanually setunless using dynamic broker registration in KRaft mode.
* B is false unless the cluster usesKRaft modeand the broker isspecifically assigneda controller role.
Reference:Kafka Operations > Adding Brokers
NEW QUESTION # 45
(You have a Kafka Connect cluster with multiple connectors deployed.
One connector is not working as expected.
You need to find logs related to that specific connector to investigate the issue.
How can you find the connector's logs?)
Answer: B
Explanation:
The official Apache Kafka Connect documentation explains that connectors run within the same worker JVM, and all logs are written through the worker's logging framework (Log4j or Log4j2). To isolate logs for a specific connector, Kafka Connect supports connector-specific logging contexts, which can be routed to separate log files using logging configuration.
By modifying the log4j.properties (or log4j2.xml) file to define a dedicated logger and appender for the connector's package or class name, you can direct logs from that connector to a separate file. This is the recommended and documented approach for debugging individual connectors in a shared Connect cluster.
Option A is incorrect because there is no generic "enable connector context" switch. Option B may increase verbosity but does not isolate logs per connector. Option D is false; Kafka Connect explicitly supports connector-level log separation through logging configuration.
Therefore, the correct approach is to configure a dedicated log appender for the specific connector.
NEW QUESTION # 46
If a topic has a replication factor of 3...
Answer: D
Explanation:
Replicas are spread across available brokers, and each replica = one broker. RF 3 = 3 brokers
NEW QUESTION # 47
To prevent network-induced duplicates when producing to Kafka, I should use
Answer: B
Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.
org/confluence/display/KAFKA/Idempotent+Producer
NEW QUESTION # 48
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