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Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is an industry-recognized certification credential for developers who want to demonstrate their expertise in using Apache Kafka to build and operate data streaming applications. CCDAK examination is designed to validate the developers' knowledge, skills, and abilities in designing, developing, and managing enterprise-grade streaming applications using Apache Kafka.
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The CCDAK Certification is highly valued by companies that leverage Apache Kafka for their business needs. It demonstrates that the certified individual has a deep understanding of Kafka and can develop solutions that meet the requirements of modern data-driven organizations. Confluent Certified Developer for Apache Kafka Certification Examination certification also validates the candidate’s ability to work effectively in a team and collaborate with other developers and stakeholders to deliver high-quality Kafka applications.
NEW QUESTION # 71
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.servers parameter.
What is the primary advantage of specifying more than one broker?
Answer: B
Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) to initially connect to the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
From Kafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence, listing multiple brokers provides redundancy and fault tolerance in the event one is down during client startup.
Reference: Apache Kafka Java Client Configuration > bootstrap.servers
NEW QUESTION # 72
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();
}
Answer: C,D
Explanation:
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.
NEW QUESTION # 73
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?
Answer: B
Explanation:
Kafka clients useSLF4Jas a logging facade. To redirect Kafka logs tolog4j2, you must include theSLF4J binding for log4j2in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration."
* Option A is forLog4j 1.x, which is outdated.
* Option C is incorrect; Kafka clients don't include logging bindings.
* Option D is insufficient without the SLF4J bridge.
Reference:Kafka Logging Integration Practices
NEW QUESTION # 74
Match each configuration parameter with the correct deployment step in installing a Kafka connector.
Answer:
Explanation:
Explanation:
1st: Place the connector's JAR file in the directory specified by plugin.path
2nd: Restart the Kafka Connect cluster
3rd: Verify using REST API (/connector-plugins)
4th: Configure the connector
5th: (Repeat of 4th, duplicate step)
1st # Place the connector's JAR file in the directory specified by the plugin.path configuration.
2nd # Restart the Kafka Connect cluster.
3rd # Verify that the connector is installed by listing all available connectors using the Kafka Connect REST API (/connector-plugins).
4th # Configure the connector using a JSON or properties file with the necessary settings.
5th # Configure the connector using a JSON or properties file with the necessary settings.
Kafka Connect requires that custom connectors be placed in the directory defined by plugin.path. After restarting the cluster, you can use the REST API to confirm availability and then deploy the connector configuration.
From Kafka Connect Documentation:
"After placing the JAR in the plugin.path, you must restart the Connect cluster to pick it up. Use the
/connector-plugins REST endpoint to verify."
The duplication of configuration is an error in the question options and should occur only once.
Reference: Kafka Connect Plugin Installation Guide
NEW QUESTION # 75
What are two examples of performance metrics?
(Select two.)
Answer: D,F
Explanation:
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
NEW QUESTION # 76
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