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Confluent CCDAK Certification Exam is an essential certification for developers who want to demonstrate their expertise in Kafka and related technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to test the knowledge and skills of developers in Kafka and is recognized globally as a standard for Kafka developers. Developers who pass the exam can demonstrate their expertise in Kafka and can be confident in their skills and knowledge.

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The CCDAK Certification Exam is an online, proctored exam that can be taken from anywhere in the world. CCDAK exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete the exam. CCDAK exam fee is $200, and there is a discount available for students and non-profit organizations.

The CCDAK certification exam is a valuable credential for developers who want to demonstrate their expertise in Kafka. By passing the exam, developers can show that they have a deep understanding of Kafka and its ecosystem, including its core components and the tools and frameworks used to build Kafka applications. Confluent Certified Developer for Apache Kafka Certification Examination certification also demonstrates the ability to design, develop, and deploy Kafka solutions to meet real-world business requirements.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q40-Q45):

NEW QUESTION # 40
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?

A. It provides redundancy in making the initial connection to the Kafka cluster.
B. It forces clients to enumerate every single broker in the cluster.
C. It provides the ability to wake up dormant brokers.
D. It is the mechanism to distribute a topic's partitions across multiple brokers.

Answer: A

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 # 41
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=all can't produce?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available

NEW QUESTION # 42
You want to perform table lookups against a KTable everytime a new record is received from the KStream.
What is the output of KStream-KTable join?

A. You choose between KStream or KTable
B. GlobalKTable
C. KTable
D. Kstream

Answer: D

Explanation:
Here KStream is being processed to create another KStream.

NEW QUESTION # 43
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.sports, topic.politics? (select two)

A. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));
B. consumer.subscribePrefix("topic.");
C. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");
D. consumer.subscribe(Pattern.compile("topic\..*"));

Answer: A,D

Explanation:
Multiple topics can be passed as a list or regex pattern.

NEW QUESTION # 44
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

A. Producers can only batch messages of the same size.
B. Two or more broker failures will automatically disable batching on the producer.
C. Producers can include multiple batches in a single request to a broker.
D. Producers have a separate background thread for each batch.

Answer: C

Explanation:
Kafka producers can group messages destined fordifferent partitionsintoseparate batches, and send multiple batches in one requestto optimize network usage.
FromKafka Producer Internals:
"The producer maintains buffers (batches) for each partition and can send multiple of these batches together in a single request to the broker."
* Message size is not a constraint for batching (A is false).
* Broker failures don't disable batching (B is false).
* There isno separate thread per batch(C is false).
Reference:Kafka Producer Architecture and Internals

NEW QUESTION # 45
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