最新 [2026年01月02日]Confluent CCDAK試験練習でテストの素晴らしい結果を出そう
あなたのキャリアーを稼いで飛躍せよConfluent CCDAK
CCDAK試験は、Kafkaのアーキテクチャとコンポーネント、データモデリングとシリアル化、プロデューサーおよびコンシューマーAPI、Kafka Connect、Kafka Streams、およびセキュリティなど、幅広いトピックをカバーしています。この試験は60の多肢選択問題から構成され、2時間以内に完了する必要があります。試験に合格した候補者は、2年間有効なConfluent Certified Developer for Apache Kafka証明書を受け取ります。CCDAKの認定試験は、KafkaのアーキテクチャとAPIの深い理解を必要とする厳しい試験であり、それを合格することは、どの開発者にとっても重要な業績です。
Confluent Certified Developer for Apache Kafka（CCDAK）認定試験は、Apache Kafkaと連携する開発者のスキルと専門知識を検証する包括的な認定プログラムです。この試験は、Kafkaベースのアプリケーションの設計、開発、展開における開発者の知識と能力をテストするように設計されています。この認定プログラムは、Apache Kafkaの背後にある企業であるConfluentによって提供され、Kafkaの開発における卓越性の証明として、世界的に認められています。
質問 # 148
Where are the ACLs stored in a Kafka cluster by default?
- A. Inside the Zookeeper's data directory
- B. Inside the broker's data directory
- C. Under Zookeeper node /kafka-acl/
- D. In Kafka topic __kafka_acls
正解：B
解説：
ACLs are stored in Zookeeper node /kafka-acls/ by default.
質問 # 149
There are two consumers C1 and C2 belonging to the same group G subscribed to topics T1 and T2. Each of the topics has 3 partitions. How will the partitions be assigned to consumers with Partition Assigner being Round Robin Assigner?
- A. Two consumers cannot read from two topics at the same time
- B. C1 will be assigned partitions 0 and 2 from T1 and partition 1 from T2. C2 will have partition 1 from T1 and partitions 0 and 2 from T2.
- C. All consumers will read from all partitions
- D. C1 will be assigned partitions 0 and 1 from T1 and T2, C2 will be assigned partition 2 from T1 and T2.
正解：B
解説：
The correct option is the only one where the two consumers share an equal number of partitions amongst the two topics of three partitions. An interesting article to read ishttps://medium.com/@anyili0928/what-i-have-learned-from-kafka-partition-assignment-strategy-799fdf15d3ab
質問 # 150
You need to correctly join data from two Kafka topics.
What will allow for the co-partitioning? (Choose 2.)
- A. Both topics have the same retention time.
- B. Both topics have the same value schema.
- C. Both topics have the same key and partitioning strategy.
- D. Both topics have the same number of partitions.
正解：C、D
質問 # 151
A consumer application is using KafkaAvroDeserializer to deserialize Avro messages. What happens if message schema is not present in AvroDeserializer local cache?
- A. Fails silently
- B. Throws DeserializationException
- C. Throws SerializationException
- D. Fetches schema from Schema Registry
正解：D
解説：
First local cache is checked for the message schema. In case of cache miss, schema is pulled from the schema registry. An exception will be thrown in the Schema Registry does not have the schema (which should never happen if you set it up properly)
質問 # 152
In Avro, removing a field that does not have a default is a __ schema evolution
- A. full
- B. backward
- C. breaking
- D. forward
正解：B
解説：
Clients with new schema will be able to read records saved with old schema.
質問 # 153
You need to configure a sink connector to write records that fail into a dead letter queue topic.
Requirements:
* Topic name: DLQ-Topic
* Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)
- A. errors.log.enable=true
- B. errors.deadletterqueue.context.headers.enable=true
- C. errors.log.include.messages=true
- D. errors.tolerance=none
- E. errors.deadletterqueue.topic.name=DLQ-Topic
- F. errors.tolerance=all
正解：B、E、F
解説：
To send failed records to adead letter queue (DLQ), you must configure:
* errors.tolerance=all: Tells the connector tonot failon errors but handle them (e.g., send to DLQ).
* errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
* errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
FromKafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related tologging, not DLQ behavior.
Reference:Kafka Connect Configurations > Error Handling
質問 # 154
You have an existing topic t1 with four partitions.
Which statement is correct about changing the number of partitions for this topic?
- A. You may increase the partition count and Kafka will leave the existing data on the original partitions.
- B. You may decrease the partition count if you increase the replication count.
- C. You may decrease the partition count if you change the partitioning algorithm.
- D. You may increase the partition count and Kafka will ensure the message ordering remains the same.
正解：A
質問 # 155
You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)
- A. The connect cluster has reached capacity, and new connectors cannot be created without expandingthe cluster.
- B. The Connect cluster is in process of rebalancing.
- C. The Connector already exists in the cluster.
- D. The connector configuration was invalid, and the response body will expand on the configuration error.
正解：B、C
解説：
A409 Conflictresponse in Kafka Connect REST API usually means:
* The connector name provided already exists (i.e., a connector with that name is already deployed).
* The Kafka Connect cluster is temporarily unavailable to accept new tasks due toa rebalance in progress.
From theConfluent Developer documentationand Kafka Connect REST API spec:
"409 - Conflict. The connector name is already in use or the worker group is in the process of rebalancing and cannot complete the request at this time." Option A is incorrect because invalid configurations return400 Bad Request, not 409.
Option B is invalid because Kafka Connect does not have a strict concept of "capacity" that prevents connector creation with a 409.
Reference:Apache Kafka Connect REST API documentation
質問 # 156
A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a produce request with acks=all is sent to broker?
- A. Produce request is honored with single in-sync replica
- B. NotEnoughReplicasException will be returned
- C. Produce request will block till one of the two unavailable partition is available again.
正解：B
解説：
With this configuration, a single in-sync replica becomes read-only. Produce request will receive NotEnoughReplicasException.
質問 # 157
How would you describe a connector in ksqlDB?
- A. DROP CONNECTOR [IF EXISTS] connector_name;
- B. DESCRIBE ip_sum EXTENDED;
- C. DESCRIBE connector_name CONNECTOR;
- D. DESCRIBE CONNECTOR connector_name;
正解：D
質問 # 158
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?
- A. 0
- B. 1
- C. 2
- D. 3
正解：A
質問 # 159
Which is an optional field in an Avro record?
- A. fields
- B. doc
- C. name
- D. namespace
正解：B
解説：
doc represents optional description of message
質問 # 160
If I want to have an extremely high confidence that leaders and replicas have my data, I should use
- A. acks=1, replication factor=3, min.insync.replicas=2
- B. acks=all, replication factor=2, min.insync.replicas=1
- C. acks=all, replication factor=3, min.insync.replicas=2
- D. acks=all, replication factor=3, min.insync.replicas=1
正解：C
解説：
acks=all means the leader will wait for all in-sync replicas to acknowledge the record. Also the min in-sync replica setting specifies the minimum number of replicas that need to be in-sync for the partition to remain available for writes.
質問 # 161
The producer code below features a Callback class with a method called onCompletion().
When will the onCompletion() method be invoked?
- A. When a consumer sends an acknowledgement to the producer
- B. When the producer batches the message
- C. When the producer receives the acknowledgment from the broker
- D. When the producer puts the message into its socket buffer
正解：C
解説：
The onCompletion() method of Kafka'sCallback interfaceis executedonce the broker acknowledgesthe message. This includes success or failure, and it isinvoked asynchronouslyby the producer.
FromKafka Java Client API Documentation:
"The onCompletion method will be called when the record sent to the server has been acknowledged, or when an error occurs." This ensures thatthe record was sent and acknowledged, not just added to a batch or local buffer.
Reference:Kafka Java Client API > org.apache.kafka.clients.producer.Callback
質問 # 162
Your producer is producing at a very high rate and the batches are completely full each time. How can you improve the producer throughput? (select two)
- A. Increase batch.size
- B. Enable compression
- C. Decrease batch.size
- D. Decrease linger.ms
- E. Disable compression
正解：A、B
解説：
Increase linger.ms
Explanation:
batch.size controls how many bytes of data to collect before sending messages to the Kafka broker. Set this as high as possible, without exceeding available memory. Enabling compression can also help make more compact batches and increase the throughput of your producer. Linger.ms will have no effect as the batches are already full
質問 # 163
A consumer application needs to use an "at most once" delivery semantic.
What is the best consumer configuration lo avoid duplicate messages being read?
- A. auto.offset.reset=eariiest and enable.auto.commit=false
- B. auto.offset.reset=earliest and enable auto commit=true
- C. auto.offset.reset-latest and enable auto commit-false
- D. auto.offset.reset=latest and enable.auto.commit=true
正解：D
質問 # 164
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CCDAK認定試験は、Kafkaコンセプトの深い理解とKafkaでの実務経験が必要な難しい試験です。この試験には、多肢選択問題が含まれ、候補者はKafkaの知識を実世界のシナリオに適用できる能力を示す必要があります。試験の準備にあたっては、試験の目的を確認し、オンラインコースや練習試験などのトレーニングリソースを活用することが推奨されます。
正真正銘のベスト資料CCDAKオンライン練習試験：https://jp.fast2test.com/CCDAK-premium-file.html
365日更新し続けるCCDAK最高の問題集はこちら：https://drive.google.com/open?id=1eLCDJa7uFFToxa3FYS8U1ik1I3I_GJkO