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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. (You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)

A) Processor API
B) TopologyTestDriver
C) Kafka Streams Custom Transformation Language
D) Kafka Streams Domain Specific Language (DSL)

2. You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)

A) Customer profile information
B) Catalog of products
C) Log of payment transactions
D) All purchases at a retail store occurring in real time
E) Inventory of products at a warehouse

3. You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?

A) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
B) Update the consumer configuration by setting auto.offset.reset=earliest.
C) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
D) Start a new consumer application with the same consumer group id.

4. (A consumer application needs to use an at-most-once delivery semantic.
What is the best consumer configuration and code skeleton to avoid duplicate messages being read?)

A) auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
B) auto.offset.reset=latest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);for (var record : records) {// Any processing}consumer.commitAsync();}
C) auto.offset.reset=earliest and enable.auto.commit=falsewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}
D) auto.offset.reset=earliest and enable.auto.commit=truewhile (true) {final var records = consumer.poll (POLL_TIMEOUT);consumer.commitAsync();for (var record : records) {// Any processing}}

5. You are experiencing low throughput from a Java producer.
Metrics show low I/O thread ratio and low I/O thread wait ratio.
What is the most likely cause of the slow producer performance?

A) Compression is enabled.
B) There is a bad data link layer (layer 2) connection from the producer to the cluster.
C) The producer code has an expensive callback function.
D) The producer is sending large batches of messages.

Solutions: