참고: ExamPassdump에서 Google Drive로 공유하는 무료 2026 Confluent CCDAK 시험 문제집이 있습니다: https://drive.google.com/open?id=1bKKQybiXyxbkpr1m0bbLB5bTSrrWNGR0
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| Section | Weight | Objectives |
|---|---|---|
| Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Topic Creation and Configuration - Broker Configuration Parameters |
| Security | 5-10% | - Securing Schema Registry - Authorization (ACLs) - Encryption in Transit - Authentication (SASL, SSL/TLS) |
| Kafka Fundamentals | 10-15% | - Log Segments and Retention - Producer and Consumer Basics - Topics, Partitions, and Offsets - Brokers and Clusters - Replication Factor and ISR |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Offset Management in Connect - Single Message Transformations (SMT) - Connector Configuration - Source and Sink Connectors |
| Monitoring and Operations | 5-10% | - Disaster Recovery - Kafka Metrics and Monitoring - Cross-region Replication - Consumer Lag and Health Checks - Log Compaction |
| Schema Management | 5-10% | - Schema Registry Architecture - Schema Registration and Retrieval - Avro Schemas - Schema Evolution and Compatibility - Protobuf and JSON Schemas |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Error Handling and Retry Logic - Idempotent Producers - Serialization (JSON, Avro, Protobuf) - Producer Configuration and Tuning - Producer Interceptors - Exactly-Once Semantics |
| Kafka Streams | 20-25% | - Transformation Operations (map, filter, join, aggregate) - Exactly-Once Processing - Windowed Operations (Tumbling, Hopping, Session) - Interactive Queries - State Stores and Processors - Streams Architecture and Topology - Testing Kafka Streams Applications |
| Developing with Kafka Consumers | 15-20% | - Consumer Interceptors - Consumer Configuration and Tuning - Deserialization - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Offset Management - Consumer Groups and Rebalancing |
만약Confluent인증CCDAK시험을 통과하고 싶다면, Pass4Tes의 선택을 추천합니다. Pass4Tes선택은 가장 적은 투자로 많은 이익을 가져올 수 있죠, Pass4Tes에서 제공하는Confluent인증CCDAK시험덤프로 시험패스는 문제없스니다. ExamPassdump는 전문적으로 it인증시험관련문제와 답을 만들어내는 제작팀이 있으며, Pass4Tes 이미지 또한 업계에서도 이름이 있답니다
질문 # 76
You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)
정답：A,D,E
설명：
These three metrics are critical for cluster health:
OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
ActiveControllerCount: There should be exactly one active controller. A count # 1 signals controller failure.
UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
From Kafka Monitoring Documentation:
"Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running." A is about topics pending deletion - not critical.
E is a per-topic record metric, not broker-level.
Reference: Kafka Monitoring > Key JMX Metrics
질문 # 77
How will you set the retention for the topic named 'Aumy-topic' to 1 hour?
정답：A
설명：
retention.ms can be configured at topic level while creating topic or by altering topic. It shouldn't be set at the broker level (log.retention.ms) as this would impact all the topics in the cluster, not just the one we are interested in
질문 # 78
What are two examples of performance metrics?
(Select two.)
정답：D,E
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.
From Kafka JMX Metrics Guide:
"fetch-rate, incoming-byte-rate, request-latency are key performance metrics for producers and consumers." B, C, E, and F are application-layer business metrics, not Kafka performance metrics.
Reference: Kafka Monitoring > JMX Metrics
질문 # 79
Once sent to a topic, a message can be modified
정답：B
설명：
Kafka logs are append-only and the data is immutable
질문 # 80
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?
정답：A
설명：
Some messages may require multiple retries. If there are more than 1 requests in flight, it may result in messages received out of order. Note an exception to this rule is if you enable the producer settingenable.idempotence=true which takes care of the out of ordering case on its own. Seehttps://issues.apache.org/jira/browse/KAFKA-5494
질문 # 81
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CCDAK시험패스자료: https://www.exampassdump.com/CCDAK_valid-braindumps.html
그 외, ExamPassdump CCDAK 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1bKKQybiXyxbkpr1m0bbLB5bTSrrWNGR0