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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Security | 5-10% | - Encryption in Transit - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry |
| Schema Management | 5-10% | - Avro Schemas - Schema Evolution and Compatibility - Protobuf and JSON Schemas - Schema Registration and Retrieval - Schema Registry Architecture |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Producer Interceptors - Idempotent Producers - Exactly-Once Semantics - Error Handling and Retry Logic - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) |
| Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Offset Management - Commit Strategies (Auto, Manual, Cooperative) - Consumer Interceptors - Multi-threaded Consumers - Deserialization |
| Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Replication Factor and ISR - Brokers and Clusters - Log Segments and Retention - Producer and Consumer Basics |
| Kafka Streams | 20-25% | - State Stores and Processors - Exactly-Once Processing - Windowed Operations (Tumbling, Hopping, Session) - Interactive Queries - Streams Architecture and Topology - Testing Kafka Streams Applications - Transformation Operations (map, filter, join, aggregate) |
| Kafka Connect | 10-15% | - Source and Sink Connectors - Connector Configuration - Single Message Transformations (SMT) - Offset Management in Connect - Converters and Transforms - Connect Architecture (Workers, Connectors, Tasks) |
| Monitoring and Operations | 5-10% | - Disaster Recovery - Cross-region Replication - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Log Compaction |
| Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Topic Creation and Configuration - Partition Assignment Strategies |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
You are working on a Kafka cluster with three nodes. You create a topic named orders with:
replication.factor = 3
min.insync.replicas = 2
acks = allWhat exception will be generated if two brokers are down due to network delay?
- A. NotCoordinatorException
- B. NetworkException
- C. NotLeaderForPartitionException
- D. NotEnoughReplicasException
Correct Answer: D 🗳️
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What is accomplished by producing data to a topic with a message key?
- A. Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
- B. Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
- C. It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.
- D. Consumers can filter messages in real time based on the message key without processing unrelated messages.
Correct Answer: B 🗳️
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(You are writing to a Kafka topic with producer configuration acks=all.
The producer receives acknowledgements from the broker but still creates duplicate messages due to network timeouts and retries.
You need to ensure that duplicate messages are not created.
Which producer configuration should you set?)
- A. retries=0max.in.flight.requests.per.connection=5enable.idempotence=true
- B. retries=2147483647max.in.flight.requests.per.connection=1enable.idempotence=true
- C. enable.auto.commit=true
- D. retries=2147483647max.in.flight.requests.per.connection=5enable.idempotence=false
Correct Answer: B 🗳️
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You create a topic named stream-logs with:
A replication factor of 3
Four partitions
Messages that are plain logs without a keyHow will messages be distributed across partitions?
- A. The first message will always be written to partition 0.
- B. All messages will be written to the same log segment.
- C. Messages will be distributed round-robin among all the topic partitions.
- D. Messages will be distributed among all the topic partitions with strict ordering.
Correct Answer: C 🗳️
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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 receives the acknowledgment from the broker
- D. When the producer puts the message into its socket buffer
Correct Answer: C 🗳️
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