그리고 Fast2test CCDAK 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1cFoVdXceO6hxG9_upzhe3khOnUfd4u_P
Confluent인증 CCDAK시험은 빨리 패스해야 되는데 어디서부터 어떻게 시험준비를 시작해야 하는지 갈피를 잡을수 없는 분들은Fast2test가 도와드립니다. Fast2test의 Confluent인증 CCDAK덤프만 공부하면 시험패스에 자신이 생겨 불안한 상태에서 벗어날수 있습니다.덤프는 시장에서 가장 최신버전이기에 최신 시험문제의 모든 시험범위와 시험유형을 커버하여Confluent인증 CCDAK시험을 쉽게 패스하여 자격증을 취득하여 찬란한 미래에 더 가깝도록 도와드립니다.
| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Replication Factor and ISR - Log Segments and Retention - Topics, Partitions, and Offsets - Producer and Consumer Basics |
| Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Partition Assignment Strategies |
| Security | 5-10% | - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Authorization (ACLs) - Encryption in Transit |
| Developing with Kafka Consumers | 15-20% | - Deserialization - Multi-threaded Consumers - Consumer Groups and Rebalancing - Consumer Interceptors - Consumer Configuration and Tuning - Offset Management - Commit Strategies (Auto, Manual, Cooperative) |
| Schema Management | 5-10% | - Protobuf and JSON Schemas - Avro Schemas - Schema Registration and Retrieval - Schema Evolution and Compatibility - Schema Registry Architecture |
| Monitoring and Operations | 5-10% | - Cross-region Replication - Consumer Lag and Health Checks - Disaster Recovery - Kafka Metrics and Monitoring - Log Compaction |
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors - Interactive Queries |
| Kafka Connect | 10-15% | - Converters and Transforms - Single Message Transformations (SMT) - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Connector Configuration - Offset Management in Connect |
| Developing with Kafka Producers | 15-20% | - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Producer Interceptors - Error Handling and Retry Logic - Partitioning Strategies - Exactly-Once Semantics |
Confluent CCDAK인증시험패스는 아주 어렵습니다. 자기에맞는 현명한 학습자료선택은 성공을 내딛는 첫발입니다. 퍼펙트한 자료만의 시험에 성공할수 있습니다. Pass4Tes시험문제와 답이야 말로 퍼펙트한 자료이죠. 우리Confluent CCDAK인증시험자료는 100%보장을 드립니다. 또한 구매 후 일년무료 업데이트버전을 받을 수 있는 기회를 얻을 수 있습니다.
질문 # 28
(You are writing to a Kafka topic with producer configuration acks=all.
The producer receives acknowledgements from the broker but still creates duplicate messages due to network timeouts and retries.
You need to ensure that duplicate messages are not created.
Which producer configuration should you set?)
정답：B
설명：
The official Apache Kafka producer documentation states that setting enable.idempotence=true guarantees that messages are written to a partition exactly once, even in the presence of retries caused by network failures or broker timeouts. This feature prevents duplicate records by assigning producer sequence numbers and validating them on the broker side.
For idempotent producers to work correctly, retries must be enabled, which is why Kafka recommends a very large value such as retries=2147483647. Additionally, limiting max.in.flight.requests.per.connection to 1 ensures strict ordering during retries, preventing message reordering in older Kafka versions and providing the safest configuration.
Option A is irrelevant to producers. Option B explicitly disables idempotence, which causes duplicates.
Option D disables retries, which increases the risk of message loss.
Therefore, the correct and fully documented solution to eliminate duplicate messages is enabling idempotence with retries and a safe in-flight request limit, as shown in Option C.
질문 # 29
(Which configuration is valid for deploying a JDBC Source Connector to read all rows from the orders table and write them to the dbl-orders topic?)
정답：B
설명：
According to the official Apache Kafka Connect and Confluent JDBC Source Connector documentation, the correct connector class for a JDBC source connector is io.confluent.connect.jdbc.JdbcSourceConnector. This connector is used to read data from relational databases and publish each table as a Kafka topic.
To read all rows from a specific table, the configuration must include table.whitelist (or table.include.list in newer versions) with the table name, and a topic.prefix to determine the Kafka topic name. In this case, using topic.prefix=dbl- with table.whitelist=orders results in records being written to the dbl-orders topic, which matches the requirement.
Options A, B, and C are invalid because they reference a non-existent connector class (DdbcSourceConnector), contain unsupported properties such as topic.whitelist for a source connector, or include malformed/incorrect JDBC parameters. Additionally, blacklisting tables does not ensure that only the orders table is read.
Therefore, option D is the only configuration that is syntactically correct, uses the proper connector class, and aligns with the official Kafka Connect JDBC Source Connector documentation.
질문 # 30
What exceptions may be caught by the following producer? (select two)
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
try {
producer.send(record);
} catch (Exception e) {
e.printStackTrace();
}
정답：A,C
설명：
These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.
질문 # 31
A consumer starts and has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 643 for the topic before. Where will the consumer read from?
정답：C
설명：
The offsets are already committed for this consumer group and topic partition, so the property auto.offset.reset is ignored
질문 # 32
Which of the following is true regarding thread safety in the Java Kafka Clients?
정답：B,D
설명：
KafkaConsumer is not thread-safe, KafkaProducer is thread safe.
질문 # 33
......
Fast2test는 저희 제품을 구매한 분들이 100%통과율을 보장해드리도록 최선을 다하고 있습니다. Fast2test를 선택한것은 시험패스와 자격증취득을 예약한것과 같습니다. Fast2test의 믿음직한 Confluent인증 CCDAK덤프를 공부해보세요.
CCDAK인증시험공부: 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=1cFoVdXceO6hxG9_upzhe3khOnUfd4u_P