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Confluent CCDAK exams play a significant role to verify skills, experience, and knowledge in a specific technology. Enrollment in the Confluent Certified Developer for Apache Kafka Certification Examination CCDAK is open to everyone. Upon completion of Confluent Certified Developer for Apache Kafka Certification Examination CCDAK Exam Questions' particular criteria. Participants in the CCDAK Dumps come from all over the world and receive the credentials for the Confluent Certified Developer for Apache Kafka Certification Examination CCDAK Questions. They can quickly advance their careers in the fiercely competitive market and benefit from certification after earning the CCDAK Questions badge.
Confluent CCDAK (Confluent Certified Developer for Apache Kafka) certification exam is designed for software developers who want to demonstrate their proficiency in building Kafka-based applications. Kafka is an open-source distributed messaging system that allows applications to exchange messages in real-time. It offers a highly scalable, fault-tolerant, and reliable platform for building large-scale distributed systems. The CCDAK exam tests the candidate's ability to work with Kafka and its ecosystem components e.g., producer, consumer, connectors, and streams API.
The CCDAK certification exam is a globally recognized certification for Kafka developers, offered by Confluent. CCDAK exam is designed to test developers' knowledge and skills in building and managing Kafka clusters and writing efficient Kafka applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is ideal for developers who want to demonstrate their expertise in Apache Kafka and advance their careers in this field. Confluent Certified Developer for Apache Kafka Certification Examination certification is also beneficial for organizations that use Kafka in their infrastructure, as it ensures that their developers have the necessary skills to build and manage Kafka applications.
Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a highly regarded certification program that is designed to test an individual’s knowledge of Apache Kafka and its associated technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification program is offered by Confluent, a leading company in the field of event streaming platforms, and is aimed at developers who want to demonstrate their expertise in building applications that utilize the Kafka ecosystem.
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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q49-Q54):
NEW QUESTION # 49
StreamsBuilder builder = new StreamsBuilder();
KStream<String, String> textLines = builder.stream("word-count-input"); KTable<String, Long> wordCounts = textLines
.mapValues(textLine -> textLine.toLowerCase())
.flatMapValues(textLine -> Arrays.asList(textLine.split("W+")))
.selectKey((key, word) -> word)
.groupByKey()
.count(Materialized.as("Counts"));
wordCounts.toStream().to("word-count-output", Produced.with(Serdes.String(), Serdes.Long())); builder.build(); What is an adequate topic configuration for the topic word-count-output?
- A. compression.type=lz4
- B. cleanup.policy=compact
- C. max.message.bytes=10000000
- D. cleanup.policy=delete
Answer: B
Explanation:
Result is aggregated into a table with key as the unique word and value its frequency. We have to enable log compaction for this topic to align the topic's cleanup policy with KTable semantics.
NEW QUESTION # 50
You are building a system for a retail store to sell products to customers Which dataset should be modeled as a GlobatKTable? (Choose 3.)
- A. Inventory of products at a warehouse e.g 100 items left
- B. All purchases at a retail store occurring in real time
- C. Customer profile information
- D. Catalog of products
- E. Log of payment transactions
Answer: A,D,E
NEW QUESTION # 51
What is not a valid authentication mechanism in Kafka?
- A. SASL/GSSAPI
- B. SASL/SCRAM
- C. SAML
- D. SSL
Answer: C
Explanation:
Learn more about security herehttps://kafka.apache.org/documentation/#security
NEW QUESTION # 52
A topic receives all the orders for the products that are available on a commerce site. Two applications want to process all the messages independently - order fulfilment and monitoring. The topic has 4 partitions, how would you organise the consumers for optimal performance and resource usage?
- A. Create two consumer groups for two applications with 4 consumers in each
- B. Create four consumers in the same group, one for each partition - two for fulfilment and two for monitoring
- C. Create 8 consumers in the same group with 4 consumers for each application
- D. Create two consumers groups for two applications with 8 consumers in each
Answer: A
Explanation:
two partitions groups - one for each application so that all messages are delivered to both the application. 4 consumers in each as there are 4 partitions of the topic, and you cannot have more consumers per groups than the number of partitions (otherwise they will be inactive and wasting resources)
NEW QUESTION # 53
(You need to send a JSON message on the wire. The message key is a string.
How would you do this?)
- A. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to JSON.
- B. Specify a value serializer class for the JSON contents of the message's value. Set the key serializer class to null.
- C. Specify a key serializer class for the JSON contents of the message's value. Set the value serializer class to null.
- D. Specify a value serializer class for the JSON contents of the message's value. Set a key serializer for the string value.
Answer: D
Explanation:
According to the Apache Kafka producer documentation, serialization is configured independently for message keys and values. The key and value can use different serializers depending on their data types.
In this scenario, the message key is a string, so the producer must be configured with org.apache.kafka.
common.serialization.StringSerializer for the key. The value contains JSON, so a suitable JSON serializer must be configured for the value, such as a custom JSON serializer, a library-based serializer, or a byte-array serializer after converting the JSON to bytes.
Option B correctly reflects this separation by specifying a string serializer for the key and a JSON serializer for the value. Kafka does not automatically infer serializers, and setting a serializer to null is invalid.
Additionally, there is no built-in "JSON" serializer for keys, making Option D incorrect.
Therefore, the correct approach-fully aligned with Kafka's producer configuration model-is to explicitly configure a StringSerializer for the key and a JSON-capable serializer for the value.
NEW QUESTION # 54
......
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