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Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is a certification exam designed for developers who want to demonstrate their expertise in Apache Kafka. Apache Kafka is an open-source distributed event streaming platform that is used to build real-time data pipelines and streaming applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is conducted by Confluent, a company that provides a complete event streaming platform built on Apache Kafka.
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q80-Q85):
NEW QUESTION # 80
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?
- A. At least once delivery is not guaranteed
- B. Less resilient
- C. Reduce throughput
- D. Message order not preserved
Answer: D
Explanation:
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
NEW QUESTION # 81
(You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)
- A. Kafka Streams Domain Specific Language (DSL)
- B. TopologyTestDriver
- C. Kafka Streams Custom Transformation Language
- D. Processor API
Answer: D
Explanation:
The Apache Kafka Streams documentation clearly distinguishes between the Kafka Streams DSL and the Processor API. While the DSL is designed for common stream processing operations such as filtering, mapping, joining, and aggregations, it does not support fully custom processing logic.
For use cases that require custom transformations, fine-grained control over record processing, access to headers, timestamps, state stores, and punctuation, Kafka Streams provides the Processor API. This API allows developers to implement custom Processor, Transformer, or ValueTransformer classes and explicitly define the processing topology.
Option A (TopologyTestDriver) is a testing utility, not a development API. Option C (DSL) is higher-level and not suitable for advanced custom logic. Option D does not exist in Kafka.
Therefore, the correct and officially supported approach for defining custom processors in Kafka Streams is to use the Processor API.
NEW QUESTION # 82
You are sending messages to a Kafka cluster in JSON format and want to add more information related to each message:
Format of the message payload
Message creation time
A globally unique identifier that allows the message to be traced through the systemWhere should this additional information be set?
- A. Value
- B. Header
- C. Broker
- D. Key
Answer: B
Explanation:
Kafka message headers are the right place to include metadata such as:
Payload format (e.g., schema version)
Timestamps (custom)
Trace or correlation IDs
From Kafka Producer API Docs:
"Headers are a map of key-value pairs that can be used to include metadata alongside the message, without modifying the message body." Keys determine partitioning and ordering Values are the message payload Brokers do not store arbitrary metadata fields Reference: Kafka ProducerRecord API > Headers
NEW QUESTION # 83
How do you create a topic named test with 3 partitions and 3 replicas using the Kafka CLI?
- A. bin/kafka-topics.sh --create --bootstrap-server localhost:2181 --replication-factor 3 --partitions 3 --topic test
- B. bin/kafka-topics-create.sh --zookeeper localhost:9092 --replication-factor 3 --partitions 3 --topic test
- C. bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 3 --partitions 3 --topic test
- D. bin/kafka-topics.sh --create --broker-list localhost:9092 --replication-factor 3 --partitions 3 --topic test
Answer: C
Explanation:
As of Kafka 2.3, the kafka-topics.sh command can take --bootstrap-server localhost:9092 as an argument.
You could also use the (now deprecated) option of --zookeeper localhost:2181.
NEW QUESTION # 84
You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)
- A. The connect cluster has reached capacity, and new connectors cannot be created without expandingthe cluster.
- B. The Connector already exists in the cluster.
- C. The connector configuration was invalid, and the response body will expand on the configuration error.
- D. The Connect cluster is in process of rebalancing.
Answer: B,D
Explanation:
A409 Conflictresponse in Kafka Connect REST API usually means:
* The connector name provided already exists (i.e., a connector with that name is already deployed).
* The Kafka Connect cluster is temporarily unavailable to accept new tasks due toa rebalance in progress.
From theConfluent Developer documentationand Kafka Connect REST API spec:
"409 - Conflict. The connector name is already in use or the worker group is in the process of rebalancing and cannot complete the request at this time." Option A is incorrect because invalid configurations return400 Bad Request, not 409.
Option B is invalid because Kafka Connect does not have a strict concept of "capacity" that prevents connector creation with a 409.
Reference:Apache Kafka Connect REST API documentation
NEW QUESTION # 85
......
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