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  1. Home
  2. Confluent Certification
  3. CCDAK Exam
  4. Confluent.CCDAK.v2025-10-15.q103 Dumps
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Question 1

You want to perform table lookups against a KTable everytime a new record is received from the KStream. What is the output of KStream-KTable join?

Correct Answer: D
Here KStream is being processed to create another KStream.
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Question 2

Which is an optional field in an Avro record?

Correct Answer: A
doc represents optional description of message
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Question 3

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?

Correct Answer: D
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)
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Question 4

Your Kafka cluster has five brokers. The topic t1 on the cluster has:
* Two partitions
* Replication factor = 4
* min.insync.replicas = 3You need strong durability guarantees for messages written to topic t1.You configure a producer acks=all and all the replicas for t1 are in-sync.How many brokers need to acknowledge a message before it is considered committed?

Correct Answer: B
With acks=all, the leader waits formin.insync.replicasto acknowledge the message. Since min.insync.
replicas=3, Kafka will only commit the messageonce 3 brokers (leader + 2 followers)confirm they have the message.
FromKafka Documentation > Acks and Durability:
"If acks=all is specified, the producer will wait until the full set of in-sync replicas has acknowledged the record. The minimum number of in-sync replicas is controlled by min.insync.replicas." Even though the replication factor is 4, only3 acknowledgments are needed, as defined by min.insync.
replicas.
Reference:Apache Kafka Producer Configs > acks, min.insync.replicas
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Question 5

We have a store selling shoes. What dataset is a great candidate to be modeled as a KTable in Kafka Streams?

Correct Answer: A,C
Aggregations of stream are stored in table, whereas Streams must be modeled as a KStream to avoid data explosion
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