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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Developing with Kafka Consumers | 15-20% | - Offset Management - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Consumer Interceptors - Consumer Groups and Rebalancing - Consumer Configuration and Tuning |
| Kafka Connect | 10-15% | - Offset Management in Connect - Single Message Transformations (SMT) - Connect Architecture (Workers, Connectors, Tasks) - Connector Configuration - Converters and Transforms - Source and Sink Connectors |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Producer Configuration and Tuning - Producer Interceptors - Exactly-Once Semantics - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Error Handling and Retry Logic |
| Monitoring and Operations | 5-10% | - Cross-region Replication - Kafka Metrics and Monitoring - Log Compaction - Disaster Recovery - Consumer Lag and Health Checks |
| Kafka Streams | 20-25% | - State Stores and Processors - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications - Interactive Queries - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) |
| Security | 5-10% | - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Encryption in Transit - Authorization (ACLs) |
| Schema Management | 5-10% | - Schema Evolution and Compatibility - Avro Schemas - Schema Registry Architecture - Schema Registration and Retrieval - Protobuf and JSON Schemas |
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Topics, Partitions, and Offsets - Replication Factor and ISR - Producer and Consumer Basics - Log Segments and Retention |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Broker Configuration Parameters - Topic Creation and Configuration - ZooKeeper vs KRaft Mode |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
Question #1
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. It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.
C. Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
D. Consumers can filter messages in real time based on the message key without processing unrelated messages.
Question #2
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 combination of the bank account number and the transaction timestamp as the message key.
B. Use the timestamp of the message's arrival as its key.
C. Use a unique identifier such as a universally unique identifier (UUID) as the message key.
D. Use the bank account number found in the message as the message key.
Question #3
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?
A. 3
B. 5
C. 2
D. 4
Question #4
(You are writing lightweight XML messages to a Kafka topic named userinfo.
Which format should you use for the value field?)
A. StringSerializer
B. XmlSerializer
C. VoidSerializer
D. ByteSerializer
Question #5
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. Inventory of products at a warehouse
B. All purchases at a retail store occurring in real time
C. Customer profile information
D. Catalog of products
E. Log of payment transactions
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: D | Question #3 Correct Answer: A | Question #4 Correct Answer: A | Question #5 Correct Answer: A,C,D |
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