참고: Fast2test에서 Google Drive로 공유하는 무료 2026 Confluent CCDAK 시험 문제집이 있습니다: https://drive.google.com/open?id=1deP4D_KMPkyUrGmf8D4pxI_wQCFSKfON
연구결과에 의하면Confluent인증 CCDAK시험은 너무 어려워 시험패스율이 낮다고 합니다. Fast2test의 Confluent인증 CCDAK덤프와 만나면Confluent인증 CCDAK시험에 두려움을 느끼지 않으셔도 됩니다. Fast2test의 Confluent인증 CCDAK덤프는 엘리트한 IT전문가들이 실제시험을 연구하여 정리해둔 퍼펙트한 시험대비 공부자료입니다. 저희 덤프만 공부하시면 시간도 절약하고 가격도 친근하며 시험준비로 인한 여러방면의 스트레스를 적게 받아Confluent인증 CCDAK시험패스가 한결 쉬워집니다.
| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Operations | 5-10% | - Log Compaction - Cross-region Replication - Consumer Lag and Health Checks - Disaster Recovery - Kafka Metrics and Monitoring |
| Kafka Fundamentals | 10-15% | - Producer and Consumer Basics - Topics, Partitions, and Offsets - Brokers and Clusters - Log Segments and Retention - Replication Factor and ISR |
| Developing with Kafka Consumers | 15-20% | - Offset Management - Consumer Configuration and Tuning - Deserialization - Multi-threaded Consumers - Consumer Interceptors - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing |
| Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Partition Assignment Strategies - Topic Creation and Configuration |
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - State Stores and Processors - Streams Architecture and Topology - Exactly-Once Processing - Interactive Queries |
| Security | 5-10% | - Authentication (SASL, SSL/TLS) - Encryption in Transit - Authorization (ACLs) - Securing Schema Registry |
| Developing with Kafka Producers | 15-20% | - Error Handling and Retry Logic - Partitioning Strategies - Exactly-Once Semantics - Idempotent Producers - Serialization (JSON, Avro, Protobuf) - Producer Interceptors - Producer Configuration and Tuning |
| Kafka Connect | 10-15% | - Single Message Transformations (SMT) - Converters and Transforms - Source and Sink Connectors - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) - Connector Configuration |
| Schema Management | 5-10% | - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture - Schema Registration and Retrieval - Protobuf and JSON Schemas |
Fast2test의Confluent CCDAK 인증시험덤프는 자주 업데이트 되고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Confluent CCDAK덤프를 마스터하고Confluent CCDAK시험을 패스할수 있도록 하는 또 하나의 보장입니다. 매력만점Confluent CCDAK덤프 강력 추천합니다.
질문 # 60
What are two examples of performance metrics?
(Select two.)
정답：B,F
설명：
* fetch-rate: Measures how frequently consumers fetch data - critical for monitoring throughput.
* incoming-byte-rate: Shows how much data is being written to the broker per second - a key producer-side metric.
FromKafka JMX Metrics Guide:
"fetch-rate, incoming-byte-rate, request-latency are key performance metrics for producers and consumers."
* B, C, E, and F areapplication-layer business metrics, not Kafka performance metrics.
Reference:Kafka Monitoring > JMX Metrics
질문 # 61
(You started a new Kafka Connect worker.
Which configuration identifies the Kafka Connect cluster that your worker will join?)
정답：C
설명：
As documented in the official Apache Kafka Connect framework documentation, Kafka Connect workers form a logical cluster by using a Kafka consumer group. The configuration property that identifies this cluster is group.id.
All Kafka Connect workers configured with the same group.id automatically join the same Connect cluster.
Kafka's group coordination protocol is then used to distribute connector and task configurations among the workers, providing fault tolerance, scalability, and automatic rebalancing.
Option A (cluster.id) is a Kafka internal identifier used by brokers and is not configurable for Kafka Connect workers. Option B (worker.id) does not exist as a valid Kafka Connect configuration. Option D (connector.id) identifies individual connectors within a Connect cluster, not the worker cluster itself.
Therefore, the group.id property is the correct and officially documented configuration that determines which Kafka Connect cluster a worker belongs to.
질문 # 62
Which of the following Kafka Streams operators are stateful? (select all that apply)
정답：A,C,D,E
설명：
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateful-transformations
질문 # 63
You are building a system for a retail store to sell products to customers Which dataset should be modeled as a GlobatKTable? (Choose 3.)
정답：B,C,E
질문 # 64
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?
정답：B
설명：
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status/1161303431501324293?s=09
질문 # 65
......
Confluent CCDAK인증시험은 전문적인 관련지식을 테스트하는 인증시험입니다. Fast2test는 여러분이Confluent CCDAK인증시험을 통과할 수 잇도록 도와주는 사이트입니다. 여러분은 응시 전 저희의 문제와 답만 잘 장악한다면 빠른 시일 내에 많은 성과 가 있을 것입니다.
CCDAK높은 통과율 시험대비자료: https://kr.fast2test.com/CCDAK-premium-file.html
그리고 Fast2test CCDAK 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1deP4D_KMPkyUrGmf8D4pxI_wQCFSKfON