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Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Exam is a globally recognized certification exam that tests the expertise of developers in Apache Kafka. Apache Kafka is an open-source distributed event streaming platform that is widely used by companies for building real-time data pipelines and streaming applications. The CCDAK Exam is designed to test the knowledge and skills of developers in building and managing Kafka-based applications.
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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam is an industry-recognized certification program designed to validate the skills and knowledge of developers working with Apache Kafka. CCDAK exam is conducted by Confluent, a leading provider of enterprise data streaming platforms built on Apache Kafka. The CCDAK certification exam is a comprehensive test that covers a broad range of topics related to Apache Kafka, including core concepts, cluster management, security, and data processing.
The CCDAK Certification Exam is an important certification for developers who want to work with Kafka and Confluent's platform. It demonstrates to employers and clients that a developer has the skills and knowledge necessary to build and manage Kafka-based applications using Confluent's platform. In addition, the certification can help developers advance their careers and increase their earning potential.
NEW QUESTION # 16
A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.
Answer: D
Explanation:
In Kafka Streams,the number of stream tasks = number of input partitions × num.stream.threads × number of instances,but only as many as the number of partitions can actively consume at once.
However, in this case,Kafka Streams assigns one task per partition, and because there are 5 partitions and
15 threads (3 instances × 5 threads),15 tasks are created, andall 15 can be activedepending on processing topology.
FromKafka Streams Developer Guide:
"Kafka Streams creates one task per input partition. If you increase the number of stream threads, it runs multiple tasks in parallel within a single instance." So,15 stream tasks will be created and 15 will be actively consuming.
Reference:Apache Kafka Streams Documentation > Concepts > Tasks and Threads
NEW QUESTION # 17
Which two statements are correct about transactions in Kafka?
(Select two.)
Answer: B,E
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
# C. Consumers can consume both committed and uncommitted transactions.By default, Kafka consumers only read committed messages if they are configured with isolation.level=read_committed. However, if configured as read_uncommitted, they can also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
# D. Information about producers and their transactions is stored in the _transaction_state topic.Kafka uses an internal topic named __transaction_state to maintain metadata about producer transactions. This topic is essential for tracking the transaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."
NEW QUESTION # 18
This schema excerpt is an example of which schema format?
package com.mycorp.mynamespace;
message SampleRecord {
int32 Stock = 1;
double Price = 2;
string Product_Name = 3;
}
Answer: B
Explanation:
This syntax is a clear match toProtocol Buffers (Protobuf). It defines a schema with fields, types, and tags, which is a format supported by Kafka when usingProtobuf-based schema registry serialization.
FromConfluent Schema Registry Docs:
"Kafka supports Protobuf serialization, where schemas are written in .proto files and include fields with tags."
* int32, double, and string are standard Protobuf types.
* Avro uses JSON-style schema.
* JSON Schema uses JSON object structure, not .proto.
* YAML is unrelated.
Reference:Confluent Schema Registry for Protobuf
NEW QUESTION # 19
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 1. What is the maximum number of brokers that can be down so that a producer with acks=all can still produce to the topic?
Answer: B
Explanation:
Two brokers can go down, and one replica will still be able to receive and serve data
NEW QUESTION # 20
We have a store selling shoes. What dataset is a great candidate to be modeled as a KTable in Kafka Streams?
Answer: A,C
Explanation:
Aggregations of stream are stored in table, whereas Streams must be modeled as a KStream to avoid data explosion
NEW QUESTION # 21
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