無料でゲット！最新の2026年最新の有効な練習Confluent Certified Developer CCDAK問題と解答でテストエンジン
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Confluent CCDAK認定試験は、開発者がKafkaのスキルと専門知識を検証する優れた方法です。この認定は、カフカ開発者の基準としてグローバルに認識されており、雇用主によって高く評価されています。試験に合格した個人は、Kafkaや関連技術を扱う能力を実証でき、スキルと知識に自信を持つことができます。
CCDAK認定試験の準備をするには、候補者はKafkaのアーキテクチャ、設計原則、および実装の詳細を確実に理解する必要があります。また、生産環境でKafkaと協力した経験も持たなければなりません。 Confluentは、候補者が試験の準備を支援できるさまざまなトレーニングコースとリソースを提供しています。これらのコースでは、Kafka Architecture、Kafka Streams、Kafka Connect、Kafka Securityなどのトピックについて説明しています。
質問 # 126
What is the protocol used by Kafka clients to securely connect to the Confluent REST Proxy?
- A. Kerberos
- B. HTTPS (SSL/TLS)
- C. SASL
- D. HTTP
正解：B
解説：
TLS - but it is still called SSL.
質問 # 127
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. Do not commit until successfully processing the record #10
- B. Commit offsets at 10
- C. Commit offsets at 11
正解：C
解説：
Here, you shouldn't commit offsets 11 or 10 as it would indicate that the message #10 has been processed successfully.
質問 # 128
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?
- A. Right away
- B. When the high watermark has advanced
- C. Never, the produce request will fail
- D. When the message has been fully replicated to all replicas
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 # 129
You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)
- A. Both topics have the same retention time.
- B. Both topics have the same number of partitions.
- C. Both topics have the same key and partitioning strategy.
- D. Both topics have the same value schema.
正解：B、C
解説：
For Kafka Streams to performjoins, topics must beco-partitioned, meaning:
* They have thesame number of partitions(A), and
* They use thesame partitioning strategy(typically by key) (B)
FromKafka Streams Documentation > Joins:
"Co-partitioning is required for Kafka Streams joins. Topics must have the same number of partitions and use the same key-based partitioner." Value schema (C) and retention time (D) have no bearing on join compatibility.
Reference:Kafka Streams Concepts > Joins and Co-Partitioning
質問 # 130
The producer code below features a Callback class with a method called onCompletion().
When will the onCompletion() method be invoked?
- A. When the producer batches the message
- B. When a consumer sends an acknowledgement to the producer
- C. When the producer puts the message into its socket buffer
- D. When the producer receives the acknowledgment from the broker
正解：D
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 # 131
You have a topic with four partitions. The application reads from it using two consumers in a single consumer group.
Processing is CPU-bound, and lag is increasing.
What should you do?
- A. Increase the max.poll.records property of consumers.
- B. Decrease the max.poll.records property of consumers.
- C. Add more partitions to the topic to increase the level of parallelism of the processing.
- D. Add more consumers to increase the level of parallelism of the processing.
正解：D
解説：
If the application isCPU-boundandlagging, addingmore consumersto the group will allow betterparallel processing, especially since the topic has4 partitions, allowing up to 4 active consumers.
FromKafka Consumer Group Docs:
"Kafka achieves parallelism by distributing partitions across consumers in a group. Adding consumers helps reduce lag if partitions are underutilized."
* B may help but requires repartitioning and coordination.
* C or D affects how much data is polled, not how fast it's processed.
Reference:Kafka Consumer Concepts > Parallelism and Scaling
質問 # 132
How do you create a topic named test with 3 partitions and 3 replicas using the Kafka CLI?
- A. bin/kafka-topics.sh --create --broker-list localhost:9092 --replication-factor 3 --partitions 3 --topic test
- B. bin/kafka-topics-create.sh --zookeeper localhost:9092 --replication-factor 3 --partitions 3 --topic test
- C. bin/kafka-topics.sh --create --bootstrap-server localhost:2181 --replication-factor 3 --partitions 3 --topic test
- D. bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 3 --partitions 3 --topic test
正解：D
解説：
As of Kafka 2.3, the kafka-topics.sh command can take --bootstrap-server localhost:9092 as an argument.
You could also use the (now deprecated) option of --zookeeper localhost:2181.
質問 # 133
What is the default maximum size of a message the Apache Kafka broker can accept?
- A. 2MB
- B. 10MB
- C. 5MB
- D. 1MB
正解：D
解説：
The default maximum message size that a Kafka broker accepts is1MB (1,048,576 bytes), controlled by the config propertymessage.max.bytes.
FromKafka Broker Configuration Docs:
"The default maximum message size is 1MB. To accept larger messages, configure message.max.bytes and the producer's max.request.size." Producers also have a matching limit via max.request.size, and consumers via fetch.message.max.bytes.
Reference:Kafka Broker Configuration > message.max.bytes
質問 # 134
A customer has many consumer applications that process messages from a Kafka topic. Each consumer application can only process 50 MB/s. Your customer wants to achieve a target throughput of 1 GB/s. What is the minimum number of partitions will you suggest to the customer for that particular topic?
- A. 0
- B. 1
- C. 2
- D. 3
正解：B
解説：
each consumer can process only 50 MB/s, so we need at least 20 consumers consuming one partition so that 50 * 20 = 1000 MB target is achieved.
質問 # 135
Select the Kafka Streams joins that are always windowed joins.
- A. KStream-KStream join
- B. KStream-KTable join
- C. KStream-GlobalKTable
- D. KTable-KTable join
正解：A
解説：
Seehttps://docs.confluent.io/current/streams/developer-guide/dsl-api.html#joining
質問 # 136
Which is an optional field in an Avro record?
- A. namespace
- B. doc
- C. fields
- D. name
正解：B
解説：
doc represents optional description of message
質問 # 137
A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.
- A. 5 created, 1 actively consuming
- B. 5 created, 5 actively consuming
- C. 15 created, 15 actively consuming
- D. 15 created, 5 actively consuming
正解：C
解説：
In Kafka Streams,the number of stream tasks = number of input partitions × num.stream.threads × number of instances,but only as many as the number of partitions can actively consume at once.
However, in this case,Kafka Streams assigns one task per partition, and because there are 5 partitions and
15 threads (3 instances × 5 threads),15 tasks are created, andall 15 can be activedepending on processing topology.
FromKafka Streams Developer Guide:
"Kafka Streams creates one task per input partition. If you increase the number of stream threads, it runs multiple tasks in parallel within a single instance." So,15 stream tasks will be created and 15 will be actively consuming.
Reference:Apache Kafka Streams Documentation > Concepts > Tasks and Threads
質問 # 138
Which of the following is a push query?
- A. CREATE STREAM STUDENTS (ID STRING KEY, SCORE INT)
WITH (kafka_topic='students_topic', value_format='JSON', partitions=4); - B. CREATE TABLE LEFT_TABLE (ID BIGINT PRIMARY KEY, NAME varchar, VALUE bigint) WITH (kafka_topic='left_topic', value_format='JSON', partitions=4);
- C. SELECT *
FROM NUMBER_OF_TESTS
WHERE ID='10'; - D. SELECT windowstart, windowend, item_id, SUM(quantity)
FROM orders
WINDOW TUMBLING (SIZE 20 SECONDS)
GROUP BY item_id
EMIT CHANGES;
正解：D
質問 # 139
Which producer exceptions are examples of the class RetriableException? (Choose 2.)
- A. AuthorizationException
- B. RecordTooLargeException
- C. LeaderNotAvailableException
- D. NotEnoughReplicasException
正解：C、D
質問 # 140
What isn't a feature of the Confluent schema registry?
- A. Store schemas
- B. Store avro data
- C. Enforce compatibility rules
正解：B
解説：
Data is stored on brokers.
質問 # 141
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