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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam |
| Exam Number: | CCDAK |
| Exam Format: | Multiple select, Multiple choice |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Passing Score: | 70% |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAK) Confluent Certified Developer for Apache Kafka (CCDAK) |
| Certificate Validity Period: | 3 years |
| Exam Price: | $150 USD |
| Exam Duration: | 90 minutes |
| Recommended Training: | Apache Kafka Developer Training (Confluent) Kafka Fundamentals Course |
| 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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The CCDAK exam is a hands-on assessment that tests the candidate's ability to design, develop, and deploy Kafka-based applications using different programming languages, such as Java, Scala, and Python. CCDAK exam covers a wide range of topics, including Kafka architecture, data serialization and deserialization, producer and consumer APIs, stream processing, and Kafka Connect. CCDAK Exam also evaluates the candidate's ability to troubleshoot common Kafka issues and optimize Kafka performance.
NEW QUESTION # 41
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
Answer: C
Explanation:
To reset offsets for an existing consumer group, you must use the kafka-consumer-groups.sh tool with the -- reset-offsets and --to-earliest flags.
From Kafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets." Setting auto.offset.reset=earliest only works if no committed offset exists.
Starting a new consumer with the same group won't reset offsets.
Retention settings don't affect committed offsets.
Reference: Kafka Consumer Group CLI Tool
NEW QUESTION # 42
You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?
Answer: C
Explanation:
To maintain message ordering per bank account, the message key must be the account number. Kafka guarantees ordering per partition, and the partition is selected based on the hash of the key.
From Kafka Producer Docs:
"All records with the same key will be sent to the same partition, and Kafka preserves the order of records in a partition." Using account number ensures:
All messages for the same account go to the same partition
Order is maintained
Workload is evenly distributed if account keys are varied
Other options break ordering or introduce unnecessary randomness.
Reference: Kafka Producer Concepts > Partitions and Keys
NEW QUESTION # 43
To prevent network-induced duplicates when producing to Kafka, I should use
Answer: D
Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.org/confluence/display/KAFKA/Idempotent+Producer
NEW QUESTION # 44
Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?
Answer: D
Explanation:
The batch.size config sets the maximum number of bytes to batch per partition before sending. This allows Kafka producers to amortize I/O and improve throughput.
From Kafka Producer Configuration Docs:
"batch.size is the maximum amount of data per partition the producer will batch before sending." buffer.memory sets total memory for the producer, not per-batch.
send.buffer.bytes is a TCP socket buffer, not a Kafka config.
max.block.ms controls blocking time, not size.
Reference: Kafka Producer Configs > batch.size
NEW QUESTION # 45
You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?
Answer: C
Explanation:
Kafka Connect can run instandalone modeordistributed mode. For simple tasks likereading logs from a file on a single host,standalone modeis recommended.
FromKafka Connect User Guide:
"Standalone mode is useful when running connectors on a single machine (e.g., for development or simple deployments like log collection from a local file)." Distributed mode is preferred for scalability and fault tolerance but overkill for this use case.
Reference:Kafka Connect User Guide > Deployment Modes
NEW QUESTION # 46
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2026 Latest Pass4training CCDAK PDF Dumps and CCDAK Exam Engine Free Share: https://drive.google.com/open?id=189DOBU000-E2px2wKzgzY6S5MCaTQx-6