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Confluent CCDAK Dumps PDF Format

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The CCDAK certification exam is a comprehensive and globally recognized certification program that validates an individual's knowledge and skills in Apache Kafka technology. It is designed for developers who work with Kafka and want to demonstrate their expertise in the field. Achieving the certification is a valuable asset for both individuals and organizations, as it ensures that developers have the necessary skills to develop and maintain Kafka-based applications.

The CCDAK certification is an excellent way to demonstrate to potential employers that one has the skills and knowledge required to work with the Kafka platform. It is also an excellent way to stay up-to-date with the latest developments in the Kafka community. Confluent Certified Developer for Apache Kafka Certification Examination certification is highly respected in the industry and is recognized by leading organizations worldwide.

The CCDAK Exam is created by Confluent, the company that offers an enterprise version of Kafka, and is available globally. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed to verify Kafka developers' skills, expertise, and knowledge on various Kafka-related topics such as message distribution, stream processing, and Kafka ecosystem tools. Passing the CCDAK exam is a significant achievement, and it shows that the developer has the practical understanding of Kafka concepts that can be used to build efficient, scalable, and reliable Kafka-based applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q212-Q217):

NEW QUESTION # 212
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. Key
B. Broker
C. Header
D. Value

Answer: C

Explanation:
Kafkamessage headersare the right place to includemetadatasuch as:
* Payload format (e.g., schema version)
* Timestamps (custom)
* Trace or correlation IDs
FromKafka 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 # 213
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 is in process of rebalancing.
B. The connect cluster has reached capacity, and new connectors cannot be created without expandingthe cluster.
C. The connector configuration was invalid, and the response body will expand on the configuration error.
D. The Connector already exists in the cluster.

Answer: A,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 # 214
There are two consumers C1 and C2 belonging to the same group G subscribed to topics T1 and T2. Each of the topics has 3 partitions. How will the partitions be assigned to consumers with Partition Assigner being Round Robin Assigner?

A. C1 will be assigned partitions 0 and 2 from T1 and partition 1 from T2. C2 will have partition 1 from T1 and partitions 0 and 2 from T2.
B. All consumers will read from all partitions
C. Two consumers cannot read from two topics at the same time
D. C1 will be assigned partitions 0 and 1 from T1 and T2, C2 will be assigned partition 2 from T1 and T2.

Answer: A

Explanation:
The correct option is the only one where the two consumers share an equal number of partitions amongst the two topics of three partitions. An interesting article to read ishttps://medium.com/@anyili0928/what-i-have-learned-from-kafka-partition-assignment-strategy-799fdf15d3ab

NEW QUESTION # 215
A Kafka producer application wants to send log messages to a topic that does not include any key. What are the properties that are mandatory to configure for the producer configuration? (select three)

A. value
B. value.serializer
C. partition
D. bootstrap.servers
E. key.serializer
F. key

Answer: B,D,E

Explanation:
Both key and value serializer are mandatory.

NEW QUESTION # 216
A producer just sent a message to the leader broker for a topic partition. The producer used acks=1 and therefore the data has not yet been replicated to followers. Under which conditions will the consumer see the message?

A. Right away
B. When the high watermark has advanced
C. When the message has been fully replicated to all replicas
D. Never, the produce request will fail

Answer: B

Explanation:
The high watermark is an advanced Kafka concept, and is advanced once all the ISR replicates the latest offsets. A consumer can only read up to the value of the High Watermark (which can be less than the highest offset, in the case of acks=1)

NEW QUESTION # 217
......

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