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Confluent CCDAK Exam Questions
- Topic 1: Kafka Architecture: This section explores the fundamental elements of Kafka's ecosystem such as the roles played by producers, consumers, and brokers. It also covers role of Zookeeper in the Kafka landscape.
- Topic 2: Developing with Kafka: This section covers crafting applications that leverage Kafka's capabilities. This covers the implementation of producers for sending data and consumers for receiving it. Also includes techniques for converting data between different formats during transmission and reception.
- Topic 3: Monitoring and Troubleshooting: Implementing systems to oversee Kafka cluster health and performance. Learning to recognize and resolve typical challenges that arise in Kafka deployments.
- Topic 4: Security: This section deploys protective strategies for Kafka clusters. It includes ways to authenticate users and oversee the access permissions.
Free Confluent CCDAK Exam Actual Questions
Note: Premium Questions for CCDAK were last updated On Jun. 17, 2025 (see below)
Where are KSQL-related data and metadata stored?
metadata is stored in and built from the KSQL command topic. Each KSQL server has its own in-memory version of the metastore.
Suppose you have 6 brokers and you decide to create a topic with 10 partitions and a replication factor of 3. The brokers 0 and 1 are on rack A, the brokers 2 and 3 are on rack B, and the brokers 4 and 5 are on rack C. If the leader for partition 0 is on broker 4, and the first replica is on broker 2, which broker can host the last replica? (select two)
When you create a new topic, partitions replicas are spreads across racks to maintain availability. Hence, the Rack A, which currently does not hold the topic partition, will be selected for the last replica
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?
Some messages may require multiple retries. If there are more than 1 requests in flight, it may result in messages received out of order. Note an exception to this rule is if you enable the producer settingenable.idempotence=true which takes care of the out of ordering case on its own. Seehttps://issues.apache.org/jira/browse/KAFKA-5494
Select the Kafka Streams joins that are always windowed joins.
Seehttps://docs.confluent.io/current/streams/developer-guide/dsl-api.html#joining
In Java, Avro SpecificRecords classes are
SpecificRecord is created from generated record classes
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