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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 |
| Monitoring and Operations | 5-10% | - Log Compaction - Disaster Recovery - Consumer Lag and Health Checks - Cross-region Replication - Kafka Metrics and Monitoring |
| Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics - Error Handling and Retry Logic - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Producer Configuration and Tuning - Producer Interceptors - Partitioning Strategies |
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Producer and Consumer Basics - Replication Factor and ISR - Log Segments and Retention - Topics, Partitions, and Offsets |
| Developing with Kafka Consumers | 15-20% | - Deserialization - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Consumer Interceptors - Multi-threaded Consumers - Offset Management - Commit Strategies (Auto, Manual, Cooperative) |
| Kafka Connect | 10-15% | - Connector Configuration - Source and Sink Connectors - Converters and Transforms - Single Message Transformations (SMT) - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) |
| Kafka Streams | 20-25% | - Interactive Queries - Testing Kafka Streams Applications - Exactly-Once Processing - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) |
| Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - Broker Configuration Parameters - Partition Assignment Strategies - ZooKeeper vs KRaft Mode |
| Schema Management | 5-10% | - Schema Registry Architecture - Avro Schemas - Schema Evolution and Compatibility - Schema Registration and Retrieval - Protobuf and JSON Schemas |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)
A) SMT functionality is included within Kafka Connect converters.
B) Multiple SMTs can be chained together and act on source or sink messages.
C) Masking data is a good example of an SMT.
D) SMTs are often used to join multiple records from a source data system into a single Kafka record.
2. 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) Messages will be distributed among all the topic partitions with strict ordering.
B) All messages will be written to the same log segment.
C) Messages will be distributed round-robin among all the topic partitions.
D) The first message will always be written to partition 0.
3. Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)
A) The consumer group will not be rebalanced if a consumer leaves the group.
B) It is mandatory to subscribe to a topic before calling assign() to assign partitions.
C) The consumer chooses which partition to read without any assignment from brokers.
D) All topics must have the same number of partitions to use assign() API.
4. You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You need to optimize throughput so the consumer group processes more messages in the same amount of time.
Which change should you make?
A) Increase the number of bytes the consumers read with each fetch request.
B) Remove some consumers from the consumer group.
C) Disable auto commit and have the consumers manually commit offsets.
D) Decrease the session timeout of each consumer.
5. You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?
A) Use a unique identifier such as a universally unique identifier (UUID) as the message key.
B) Use the bank account number found in the message as the message key.
C) Use the timestamp of the message's arrival as its key.
D) Use a combination of the bank account number and the transaction timestamp as the message key.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: C | Question # 3 Answer: A,C | Question # 4 Answer: A | Question # 5 Answer: B |
