CCDAK證照，CCDAK考試大綱

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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Schema Management	5-10%	- Schema Registry Architecture - Schema Evolution and Compatibility - Schema Registration and Retrieval - Avro Schemas - Protobuf and JSON Schemas
Kafka Streams	20-25%	- Testing Kafka Streams Applications - Interactive Queries - Exactly-Once Processing - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology
Monitoring and Operations	5-10%	- Cross-region Replication - Log Compaction - Kafka Metrics and Monitoring - Disaster Recovery - Consumer Lag and Health Checks
Developing with Kafka Consumers	15-20%	- Consumer Configuration and Tuning - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing - Consumer Interceptors - Multi-threaded Consumers - Offset Management - Deserialization
Kafka Fundamentals	10-15%	- Producer and Consumer Basics - Replication Factor and ISR - Log Segments and Retention - Topics, Partitions, and Offsets - Brokers and Clusters
Developing with Kafka Producers	15-20%	- Serialization (JSON, Avro, Protobuf) - Exactly-Once Semantics - Idempotent Producers - Partitioning Strategies - Producer Configuration and Tuning - Producer Interceptors - Error Handling and Retry Logic
Installing and Configuring Kafka	5-10%	- Topic Creation and Configuration - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Broker Configuration Parameters
Kafka Connect	10-15%	- Connector Configuration - Converters and Transforms - Single Message Transformations (SMT) - Source and Sink Connectors - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks)
Security	5-10%	- Securing Schema Registry - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Encryption in Transit

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最新的 Confluent Certified Developer CCDAK 免費考試真題 (Q80-Q85):

問題 #80
Which KSQL queries write to Kafka?

A. COUNT and JOIN
B. SHOW STREAMS and EXPLAIN <query> statements
C. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic>
D. CREATE STREAM AS SELECT and CREATE TABLE AS SELECT

答案：C,D

解題說明：
SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics. Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example SELECT * FROM foo WHERE. Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.

問題 #81
In Kafka, every broker... (select three)

A. is a controller
B. contains all the topics and all the partitions
C. contains only a subset of the topics and the partitions
D. is a bootstrap broker
E. knows all the metadata for all topics and partitions
F. knows the metadata for the topics and partitions it has on its disk

答案：C,D,E

解題說明：
Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller

問題 #82
ksqIDB Lambda functions must be used inside what type of designated functions?

A. Deployment
B. Application
C. Stafcc
D. Invocation

答案：C

問題 #83
Select all that applies (select THREE)

A. min.insync.replicas is a producer setting
B. min.insync.replicas matters regardless of the values of acks
C. min.insync.replicas is a topic setting
D. acks is a producer setting
E. min.insync.replicas only matters if acks=all
F. acks is a topic setting

答案：C,D,E

解題說明：
acks is a producer setting min.insync.replicas is a topic or broker setting and is only effective when acks=all

問題 #84
You are working on an Orders microservice Thai is publishing messages lo an Orders topic. II is a business requirement that the Orders for a given customer are processed sequentially. Also, the Orders topic is partitioned tor scalability.
Which factors would you need to address during application development?

A. Enable producer Idempotence. set max-in-flight requests per connection to 1. and number of partitions is not changed.
B. Ensure the message key is set to customer id, max-in-flight requests per connection is set to less than or equal to 5, and number of partitions is not changed.
C. Enable producer Idempotence. set llnger.ms to 0. set acks='all\ and number of partitions is not changed.
D. Enable producer Idempotence. set batch.size = 1. and set lioq.er.ms to 0. and number ot partitions is not changed.

答案：B

問題 #85
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