Confluent Excellent CCDAK Certification Sample Questions–Pass CCDAK First Attempt

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Confluent CCDAK Exam Syllabus Topics:

Section	Objectives
Topic 1: Kafka Producers and Consumers	- Consumer API 1. Rebalancing and offset commits 2. Consumer groups - Producer API 1. Serialization and partitioning strategies 2. Reliability and acknowledgments
Topic 2: Kafka Streams and Processing	- Event processing patterns 1. Windowing and aggregation 2. Exactly-once semantics - Kafka Streams API 1. Stateful vs stateless processing 2. Stream processing fundamentals
Topic 3: Kafka Ecosystem and Confluent Platform	- ksqlDB and connectors 1. Kafka Connect basics 2. Stream querying concepts - Schema Registry 1. Avro, Protobuf, JSON Schema usage
Topic 4: Kafka Fundamentals	- Data flow in Kafka 1. Producer and consumer model 2. Offset management - Kafka architecture and core concepts 1. Replication and fault tolerance 2. Brokers, topics, partitions

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Free PDF CCDAK Certification Sample Questions & Efficient Exam CCDAK Tutorial: Confluent Certified Developer for Apache Kafka Certification Examination

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q80-Q85):

NEW QUESTION # 80
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)

A. Masking data is a good example of an SMT.
B. SMTs are often used to join multiple records from a source data system into a single Kafka record.
C. SMT functionality is included within Kafka Connect converters.
D. Multiple SMTs can be chained together and act on source or sink messages.

Answer: A,D

Explanation:
SMTs (Single Message Transforms) are lightweight transformations applied to individual messages as they pass through Kafka Connect.
Chaining SMTs: You can apply multiple SMTs in sequence by defining them in order in the connector config.
Masking or modifying fields is a common use case (e.g., redacting sensitive data).
From Kafka Connect Documentation:
"Single Message Transforms (SMTs) are applied to individual messages. You can chain multiple SMTs together." SMTs do not perform joins (B is incorrect).
Converters and SMTs are separate concerns (D is incorrect).
Reference: Kafka Connect Transformations Guide

NEW QUESTION # 81
What data format isn't natively available with the Confluent REST Proxy?

A. json
B. binary
C. avro
D. protobuf

Answer: D

Explanation:
Protocol buffers isn't a natively supported type for the Confluent REST Proxy, but you may use the binary format instead

NEW QUESTION # 82
Which topic stores the sink connector offsets?

A. Topic name from status.storage.topic
B. _consumer_offset
C. Topic name from config.storage.topic
D. Topic name from offset.storage.topic

Answer: D

NEW QUESTION # 83
What's a Kafka partition made of?

A. One file
B. One file and one index
C. One file and two indexes per segment
D. One file and two indexes

Answer: C

Explanation:
Kafka partitions are made of segments (usually each segment is 1GB), and each segment has two corresponding indexes (offset index and time index)

NEW QUESTION # 84
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 # 85
......

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