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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Topic 1: Kafka Producers and Consumers	- Consumer API 1. Consumer groups 2. Rebalancing and offset commits - Producer API 1. Serialization and partitioning strategies 2. Reliability and acknowledgments
Topic 2: Kafka Ecosystem and Confluent Platform	- ksqlDB and connectors 1. Stream querying concepts 2. Kafka Connect basics - Schema Registry 1. Avro, Protobuf, JSON Schema usage
Topic 3: Kafka Fundamentals	- Data flow in Kafka 1. Offset management 2. Producer and consumer model - Kafka architecture and core concepts 1. Brokers, topics, partitions 2. Replication and fault tolerance
Topic 4: Kafka Streams and Processing	- Kafka Streams API 1. Stream processing fundamentals 2. Stateful vs stateless processing - Event processing patterns 1. Windowing and aggregation 2. Exactly-once semantics

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Confluent Certified Developer for Apache Kafka Certification Examination 認定 CCDAK 試験問題 (Q58-Q63):

質問 # 58
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. 0
B. 1
C. 2
D. 3

正解：C

解説：
With acks=all, the leader waits formin.insync.replicasto acknowledge the message. Since min.insync.
replicas=3, Kafka will only commit the messageonce 3 brokers (leader + 2 followers)confirm they have the message.
FromKafka Documentation > Acks and Durability:
"If acks=all is specified, the producer will wait until the full set of in-sync replicas has acknowledged the record. The minimum number of in-sync replicas is controlled by min.insync.replicas." Even though the replication factor is 4, only3 acknowledgments are needed, as defined by min.insync.
replicas.
Reference:Apache Kafka Producer Configs > acks, min.insync.replicas

質問 # 59
Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1Which four statements match the expected behavior?(Select four.)

A. The connector will wait 500ms for offset data to be committed.
B. The connector will commit offsets to a topic called connect-offsets.
C. The connector will wait 60000ms before trying to commit offsets for tasks.
D. The offsets topic will use the broker default replication factor.

正解：A、B、C、D

解説：
Each of these settings plays a key role inKafka Connect offset management:
* offset.flush.interval.ms=60000 # Offset commits happen every 60 seconds.
* offset.flush.timeout.ms=500 # The flush operation times out if it takes more than 500 ms.
* offset.storage.topic=connect-offsets # This is the internal topic for storing source offsets.
* offset.storage.replication.factor=-1 # This uses thebroker's default replication factor(commonly set via default.replication.factor).
FromKafka Connect Docs:
"If offset.storage.replication.factor=-1, the value will be determined by the broker's default replication factor." Reference:Kafka Connect Worker Configuration

質問 # 60
Match the testing tool with the type of test it is typically used to perform.

正解：

解説：

Explanation:
* Unit Testing# MockProducer
* Integration Testing# Testcontainers
* Performance Testing# Trogdor
* Mock Data Generation# Connect Datagen
* MockProducer: Simulates a Kafka producer in unit tests (no real broker interaction).
* Testcontainers: Spawns Kafka in Docker forreal environment testing.
* Trogdor: Kafka's built-inperformance load testingframework.
* Connect Datagen: Createssample source recordsfor test and demo purposes.
FromKafka Developer Tools Guide:
"Kafka developers commonly use MockProducer for unit tests, Testcontainers for integration, and Trogdor for performance tests." Reference:Kafka Testing and Tools Overview

質問 # 61
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.retention.ms = 168 How long will the messages be retained for?

A. 168 hours
B. 168 ms
C. 168 minutes
D. Broker will not start due to bad configuration

正解：B

解説：
If more than one similar config is specified, the smaller unit size will take precedence.

質問 # 62
(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?)

A. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.whitelist": "orders"}
B. {"name": "jdbc-source","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&useAutoAuth=true","topic.
prefix": "dbl-","table.whitelist": "orders"}
C. {"name": "dbl-orders","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl?user=user&password=pas","topic.prefix":
"dbl-","table.blacklist": "ord*"}
D. {"name": "orders-connect","connector.class": "io.confluent.connect.jdbc.DdbcSourceConnector","tasks.
max": "1","connection.url": "jdbc:mysql://mysql:3306/dbl","topic.whitelist": "orders","auto.create":
"true"}

正解：A

解説：
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.

質問 # 63
......

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