CCDAK出題内容 & CCDAK試験合格攻略

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Confluent CCDAK Exam Overview:

Certification Vendor:Confluent
Exam Name:Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam
Exam Number:CCDAK
Exam Duration:90 minutes
Exam Format:Multiple choice, Multiple select
Exam Price:$150 USD
Available Languages:English
Real Exam Qty:60
Certificate Validity Period:3 years
Related Certifications:Confluent Certified Developer for Apache Kafka (CCDAK)
Confluent Certified Administrator for Apache Kafka (CCAK)
Passing Score:70%
Recommended Training:Kafka Fundamentals Course
Apache Kafka Developer Training (Confluent)
Exam Registration:Confluent Training and Exams
Confluent Certification Portal
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/

>> CCDAK出題内容 <<

最高CCDAK｜ユニークなCCDAK出題内容試験｜試験の準備方法Confluent Certified Developer for Apache Kafka Certification Examination試験合格攻略

Fast2testの発展は弊社の商品を利用してIT認証試験に合格した人々から得た動力です。今日、我々があなたに提供するConfluentのCCDAKソフトは多くの受験生に検査されました。彼らにConfluentのCCDAK試験に合格させました。弊社のホームページでソフトのデモをダウンロードして利用してみます。我々の商品はあなたの認可を得られると希望します。ご購入の後、我々はタイムリーにあなたにConfluentのCCDAKソフトの更新情報を提供して、あなたの備考過程をリラクスにします。

試験は60問の多肢選択問題から構成され、90分以内に解答する必要があります。問題はKafkaおよびそのエコシステムに関する深い知識を評価するために設計されています。試験は英語、日本語、中国語で利用可能で、オンラインまたはテストセンターで受験できます。

Confluent Certified Developer for Apache Kafka Certification Examination 認定 CCDAK 試験問題 (Q45-Q50):

質問 # 45
Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
Which action should you take in the catch block?

正解：B

解説：
To skip a corrupted record and avoid failing the application, you must seek past the failed offset manually using consumer.seek(). This allows the application to resume consumption from the next offset.
From Kafka Consumer Error Handling Docs:
"On deserialization failure, you can catch RecordDeserializationException, log the error, and call seek() to the next offset to skip the bad record." A does not prevent re-processing the bad record.
C is invalid; there's no skip() method in the Kafka consumer API.
D results in service interruption - not ideal for resiliency.
Reference: Kafka Consumer API - Exception Handling and seek()


質問 # 46
A consumer starts and has auto.offset.reset=none, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 10 for the topic before. Where will the consumer read from?

正解：C

解説：
auto.offset.reset=none means that the consumer will crash if the offsets it's recovering from have been deleted from Kafka, which is the case here, as 10 < 45


質問 # 47
What is returned by a producer.send() call in the Java API?

正解：A

解説：
Seehttps://kafka.apache.org/21/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html


質問 # 48
A producer just sent a message to the leader broker for a topic partition. The producer used acks=1 and therefore the data has not yet been replicated to followers. Under which conditions will the consumer see the message?

正解：B

解説：
The high watermark is an advanced Kafka concept, and is advanced once all the ISR replicates the latest offsets. A consumer can only read up to the value of the High Watermark (which can be less than the highest offset, in the case of acks=1)


質問 # 49
Which configuration allows more time for the consumer poll to process records?

正解：C

解説：
max.poll.interval.ms defines the maximum delay between invocations of poll() before the consumer is considered failed. It essentially gives consumers more time to process records before needing to poll again.
From Kafka Consumer Configuration Reference:
"max.poll.interval.ms: The maximum delay between invocations of poll() when using consumer group management. If poll() is not called before expiration, the consumer is considered failed." session.timeout.ms and heartbeat.interval.ms relate to group coordination and heartbeats.
fetch.max.wait.ms affects how long the broker waits to accumulate data before sending a fetch response.
Reference: Apache Kafka Consumer Configs


質問 # 50
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