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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Kafka Producers and Consumers	- Producer API 1. Serialization and partitioning strategies 2. Reliability and acknowledgments - Consumer API 1. Consumer groups 2. Rebalancing and offset commits
Kafka Streams and Processing	- Event processing patterns 1. Exactly-once semantics 2. Windowing and aggregation - Kafka Streams API 1. Stream processing fundamentals 2. Stateful vs stateless processing
Kafka Ecosystem and Confluent Platform	- Schema Registry 1. Avro, Protobuf, JSON Schema usage - ksqlDB and connectors 1. Stream querying concepts 2. Kafka Connect basics
Kafka Fundamentals	- Kafka architecture and core concepts 1. Replication and fault tolerance 2. Brokers, topics, partitions - Data flow in Kafka 1. Producer and consumer model 2. Offset management

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which statement describes the storage location for a sink connector's offsets?

A. The __consumer_offsets topic, like any other consumer
B. In memory which is then periodically flushed to a RocksDB instance
C. The topic specified in the offsets.storage.topic configuration parameter
D. In a file specified by the offset.storage.file.filename configuration parameter

Answer: A

Explanation:
Kafka Connect sink connectors use the standard Kafka consumer mechanism to track offsets, which means offsets are stored in the __consumer_offsets internal topic.
From Kafka Connect Documentation:
"Sink connectors are regular Kafka consumers and store their offsets in the __consumer_offsets topic like any other consumer." The other options refer to source connectors or worker configuration.
offsets.storage.topic is relevant for source connectors.
Reference: Kafka Connect Concepts > Sink Connectors and Offset Storage

NEW QUESTION # 26
You have an existing topic t1 with four partitions.
Which statement is correct about changing the number of partitions for this topic?

A. You may decrease the partition count if you increase the replication count.
B. You may increase the partition count and Kafka will ensure the message ordering remains the same.
C. You may decrease the partition count if you change the partitioning algorithm.
D. You may increase the partition count and Kafka will leave the existing data on the original partitions.

Answer: D

NEW QUESTION # 27
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

A. Purchase as stream, Product as table, Customer as table
B. Purchase as stream, Product as table, Customer as stream
C. Purchase as stream, Product as stream, Customer as stream
D. Purchase as table, Product as table, Customer as table

Answer: A

Explanation:
Mostly-static data is modeled as a table whereas business transactions should be modeled as a stream.

NEW QUESTION # 28
ksqIDB Lambda functions must be used inside what type of designated functions?

A. Stafcc
B. Deployment
C. Invocation
D. Application

Answer: A

NEW QUESTION # 29
Which KSQL queries write to Kafka?

A. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic>
B. COUNT and JOIN
C. CREATE STREAM AS SELECT and CREATE TABLE AS SELECT
D. SHOW STREAMS and EXPLAIN <query> statements

Answer: A,C

Explanation:
SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics.
Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example:
SELECT A FROM foo WHERE A;
Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.

NEW QUESTION # 30
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