Free PDF CCDAK - Reliable Valid Confluent Certified Developer for Apache Kafka Certification Examination Test Prep

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Confluent CCDAK Exam Syllabus Topics:

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

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q82-Q87):

NEW QUESTION # 82
Which KSQL queries write to Kafka?

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

Answer: A,D

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 # 83
What exceptions may be caught by the following producer? (select two)
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
try {
producer.send(record);
} catch (Exception e) {
e.printStackTrace();
}

A. BrokerNotAvailableException
B. InvalidPartitionsException
C. SerializationException
D. BufferExhaustedException

Answer: C,D

Explanation:
These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.

NEW QUESTION # 84
How does a consumer commit offsets in Kafka?

A. It directly sends a message to the __consumer_offsets topic
B. It interacts with the Group Coordinator broker
C. It directly commits the offsets in Zookeeper

Answer: B

Explanation:
Consumers do not directly write to the __consumer_offsets topic, they instead interact with a broker that has been elected to manage that topic, which is the Group Coordinator broker

NEW QUESTION # 85
How will you find out all the partitions where one or more of the replicas for the partition are not in-sync with the leader?

A. kafka-topics.sh --zookeeper localhost:2181 --describe --unavailable- partitions
B. kafka-topics.sh --zookeeper localhost:2181 --describe --under-replicated-partitions
C. kafka-topics.sh --bootstrap-server localhost:9092 --describe --unavailable- partitions
D. kafka-topics.sh --broker-list localhost:9092 --describe --under-replicated-partitions

Answer: B

NEW QUESTION # 86
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.sports, topic.politics? (select two)

A. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));
B. consumer.subscribe(Pattern.compile("topic\..*"));
C. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");
D. consumer.subscribePrefix("topic.");

Answer: A,B

Explanation:
Multiple topics can be passed as a list or regex pattern.

NEW QUESTION # 87
......

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