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The Confluent Certified Developer for Apache Kafka Certification Examination certification is an opportunity for developers to demonstrate their understanding of Kafka and its ecosystem components, as well as their hands-on experience in building Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam validates the candidate's Kafka knowledge, skillset, and ability to develop solutions that solve real-world Kafka use cases. Moreover, the CCDAK certification is recognized worldwide, making it a valuable credential that can help software developers secure their next Kafka development role.
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.
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NEW QUESTION # 68
How often is log compaction evaluated?
Answer: C
Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)
NEW QUESTION # 69
To produce data to a topic, a producer must provide the Kafka client with...
Answer: C
Explanation:
All brokers can respond to a Metadata request, so a client can connect to any broker in the cluster and then figure out on its own which brokers to send data to.
NEW QUESTION # 70
Your producer is producing at a very high rate and the batches are completely full each time. How can you improve the producer throughput? (select two)
Answer: B,D
Explanation:
batch.size controls how many bytes of data to collect before sending messages to the Kafka broker. Set this as high as possible, without exceeding available memory. Enabling compression can also help make more compact batches and increase the throughput of your producer. Linger.ms will have no effect as the batches are already full
NEW QUESTION # 71
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?
Answer: C
Explanation:
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.
NEW QUESTION # 72
What will happen if a producer tries to send messages to a topic that does not exist in the Kafka cluster?
Answer: C
NEW QUESTION # 73
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