CONFLUENT CERTIFIED DEVELOPER FOR APACHE KAFKA CERTIFICATION EXAMINATION LEARN MATERIALS CAN DEFINITELY EXERT POSITIVE EFFECT ON YOUR EXAM

Confluent Certified Developer for Apache Kafka Certification Examination Learn Materials Can Definitely Exert Positive Effect on Your Exam

Confluent Certified Developer for Apache Kafka Certification Examination Learn Materials Can Definitely Exert Positive Effect on Your Exam

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Tags: CCDAK Test Voucher, CCDAK Authorized Pdf, CCDAK Test Dumps, Clear CCDAK Exam, CCDAK Test Dates

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To prepare for the CCDAK Certification Exam, candidates can take advantage of various training resources provided by Confluent. Confluent offers online training courses, workshops, and practice exams to help candidates prepare for the exam. Additionally, candidates can also refer to the Kafka documentation and community resources for further learning.

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The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam is one of the top-rated career advancement certification exams. The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam can play a significant role in career success. With the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification you can gain several benefits such as validation of skills, career advancement, competitive advantage, continuing education, and global recognition of your skills and knowledge. The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification is a valuable credential that assists you to enhance your existing skills and experience.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Examination is a comprehensive test designed to evaluate the proficiency of developers in building and maintaining Apache Kafka-based applications. CCDAK exam is targeted towards software developers, data architects, and data engineers who are looking for a way to validate their knowledge and skills in building real-time, scalable, and fault-tolerant distributed systems using Apache Kafka.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q192-Q197):

NEW QUESTION # 192
If I want to send binary data through the REST proxy to topic "test_binary", it needs to be base64 encoded. A consumer connecting directly into the Kafka topic

  • A. "test_binary" will receive
  • B. base64 encoded data, it will need to decode it
  • C. avro data
  • D. json data
  • E. binary data

Answer: E

Explanation:
On the producer side, after receiving base64 data, the REST Proxy will convert it into bytes and then send that bytes payload to Kafka. Therefore consumers reading directly from Kafka will receive binary data.


NEW QUESTION # 193
A consumer application needs to use an "at most once" delivery semantic.
What is the best consumer configuration lo avoid duplicate messages being read?

  • A. auto.offset.reset-latest and enable auto commit-false
  • B. auto.offset.reset=eariiest and enable.auto.commit=false
  • C. auto.offset.reset=earliest and enable auto commit=true
  • D. auto.offset.reset=latest and enable.auto.commit=true

Answer: D


NEW QUESTION # 194
Using the Confluent Schema Registry, where are Avro schema stored?

  • A. In the _schemas topic
  • B. In the Zookeeper node /schemas
  • C. In the Schema Registry embedded SQL database
  • D. In the message bytes themselves

Answer: A

Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic


NEW QUESTION # 195
You are using JDBC source connector to copy data from 3 tables to three Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: B

Explanation:
here, we have three tables, but the max.tasks is 2, so that's the maximum number of tasks that will be created


NEW QUESTION # 196
Which of the following is a push query?

  • A. CREATE STREAM STUDENTS (ID STRING KEY, SCORE INT)
    WITH (kafka_topic='students_topic', value_format='JSON', partitions=4);
  • B. CREATE TABLE LEFT_TABLE (ID BIGINT PRIMARY KEY, NAME varchar, VALUE bigint) WITH (kafka_topic='left_topic', value_format='JSON', partitions=4);
  • C. SELECT *
    FROM NUMBER_OF_TESTS
    WHERE ID='10';
  • D. SELECT windowstart, windowend, item_id, SUM(quantity)
    FROM orders
    WINDOW TUMBLING (SIZE 20 SECONDS)
    GROUP BY item_id
    EMIT CHANGES;

Answer: D


NEW QUESTION # 197
......

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