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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Schema Management | 5-10% | - Schema Registry Architecture - Avro Schemas - Schema Evolution and Compatibility - Protobuf and JSON Schemas - Schema Registration and Retrieval |
| Topic 2: Monitoring and Operations | 5-10% | - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Log Compaction - Disaster Recovery - Cross-region Replication |
| Topic 3: Kafka Connect | 10-15% | - Connector Configuration - Converters and Transforms - Source and Sink Connectors - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) |
| Topic 4: Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Topic Creation and Configuration - Partition Assignment Strategies |
| Topic 5: Kafka Streams | 20-25% | - Windowed Operations (Tumbling, Hopping, Session) - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications - State Stores and Processors - Interactive Queries - Streams Architecture and Topology |
| Topic 6: Kafka Fundamentals | 10-15% | - Log Segments and Retention - Producer and Consumer Basics - Topics, Partitions, and Offsets - Replication Factor and ISR - Brokers and Clusters |
| Topic 7: Developing with Kafka Producers | 15-20% | - Error Handling and Retry Logic - Exactly-Once Semantics - Partitioning Strategies - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Producer Configuration and Tuning |
| Topic 8: Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Consumer Interceptors - Offset Management - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing - Consumer Configuration and Tuning |
| Topic 9: Security | 5-10% | - Securing Schema Registry - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Encryption in Transit |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)
- A. Masking data is a good example of an SMT.
- B. SMTs are often used to join multiple records from a source data system into a single Kafka record.
- C. Multiple SMTs can be chained together and act on source or sink messages.
- D. SMT functionality is included within Kafka Connect converters.
Correct Answer: A,C 🗳️
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What is accomplished by producing data to a topic with a message key?
- A. Consumers can filter messages in real time based on the message key without processing unrelated messages.
- B. Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
- C. Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
- D. It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.
Correct Answer: C 🗳️
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(You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)
- A. Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
- B. Set enable.exactly_once=true in the Kafka Streams configuration.
- C. Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
- D. Enable compaction on the output topic to handle duplicates.
Correct Answer: A 🗳️
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You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)
- A. All purchases at a retail store occurring in real time
- B. Log of payment transactions
- C. Customer profile information
- D. Catalog of products
- E. Inventory of products at a warehouse
Correct Answer: C,D,E 🗳️
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(You want to enrich the content of a topic by joining it with key records from a second topic.
The two topics have a different number of partitions.
Which two solutions can you use?
Select two.)
- A. Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.
- B. Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
- C. Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
- D. Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
Correct Answer: A,B 🗳️
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