September 24, 2026

Free Confluent Certified Developer CCDAK Ultimate Study Guide (Updated 92 Questions) [Q27-Q41]

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Free Confluent Certified Developer CCDAK Ultimate Study Guide (Updated 92 Questions)

Get to the Top with CCDAK Practice Exam Questions

Confluent CCDAK Exam Syllabus Topics:

Section Weight Objectives
Topic 1: Installing and Configuring Kafka 5-10% – Topic Creation and Configuration
– ZooKeeper vs KRaft Mode
– Broker Configuration Parameters
– Partition Assignment Strategies
Topic 2: Kafka Streams 20-25% – Transformation Operations (map, filter, join, aggregate)
– Exactly-Once Processing
– Interactive Queries
– Testing Kafka Streams Applications
– Streams Architecture and Topology
– Windowed Operations (Tumbling, Hopping, Session)
– State Stores and Processors
Topic 3: Schema Management 5-10% – Avro Schemas
– Protobuf and JSON Schemas
– Schema Registration and Retrieval
– Schema Evolution and Compatibility
– Schema Registry Architecture
Topic 4: Monitoring and Operations 5-10% – Cross-region Replication
– Disaster Recovery
– Log Compaction
– Consumer Lag and Health Checks
– Kafka Metrics and Monitoring
Topic 5: Kafka Connect 10-15% – Offset Management in Connect
– Single Message Transformations (SMT)
– Source and Sink Connectors
– Connector Configuration
– Connect Architecture (Workers, Connectors, Tasks)
– Converters and Transforms
Topic 6: Developing with Kafka Producers 15-20% – Exactly-Once Semantics
– Producer Configuration and Tuning
– Partitioning Strategies
– Idempotent Producers
– Producer Interceptors
– Error Handling and Retry Logic
– Serialization (JSON, Avro, Protobuf)
Topic 7: Kafka Fundamentals 10-15% – Brokers and Clusters
– Log Segments and Retention
– Producer and Consumer Basics
– Topics, Partitions, and Offsets
– Replication Factor and ISR
Topic 8: Developing with Kafka Consumers 15-20% – Offset Management
– Consumer Interceptors
– Deserialization
– Multi-threaded Consumers
– Consumer Configuration and Tuning
– Consumer Groups and Rebalancing
– Commit Strategies (Auto, Manual, Cooperative)
Topic 9: Security 5-10% – Authentication (SASL, SSL/TLS)
– Securing Schema Registry
– Authorization (ACLs)
– Encryption in Transit

 

QUESTION 27
(Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)

 
 
 
 

QUESTION 28
Your topic is log compacted and you are sending a message with the key K and value null. What will happen?

 
 
 
 

QUESTION 29
What is a consequence of increasing the number of partitions in an existing Kafka topic?

 
 
 
 

QUESTION 30
Which partition assignment minimizes partition movements between two assignments?

 
 
 
 

QUESTION 31
When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.errors.DataExceptionJsonDeserializer with schemas.enable requires “schema” and “payload” fields and may not contain additional fields. How will you fix the error?

 
 
 
 

QUESTION 32
You need to correctly join data from two Kafka topics.
What will allow for the co-partitioning? (Choose 2.)

 
 
 
 

QUESTION 33
If I want to have an extremely high confidence that leaders and replicas have my data, I should use

 
 
 
 

QUESTION 34
How will you set the retention for the topic named ‘Aumy-topic’ to 1 hour?

 
 
 
 

QUESTION 35
What is returned by a producer.send() call in the Java API?

 
 
 
 

QUESTION 36
You are receiving orders from different customer in an “orders” topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?

 
 
 
 

QUESTION 37
The rule “same key goes to the same partition” is true unless…

 
 
 
 

QUESTION 38
What is the risk of increasing max.in.flight.requests.per.connection while also enabling retries in a producer?

 
 
 
 

QUESTION 39
How can you gracefully make a Kafka consumer to stop immediately polling data from Kafka and gracefully shut down a consumer application?

 
 
 

QUESTION 40
You are experiencing low throughput from a Java producer. You monitor the Kafka metrics and notice that the metrics for that producer show low I/O thread ratio and low I/O thread wait ratio.
What is most likely the cause of the slow producer performance?

 
 
 
 

QUESTION 41
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

 
 
 
 

Pass Confluent CCDAK exam – questions – convert Tets Engine to PDF: https://www.prepawaypdf.com/Confluent/CCDAK-practice-exam-dumps.html

Related Links: www.stes.tyc.edu.tw www.stes.tyc.edu.tw myportal.utt.edu.tt myportal.utt.edu.tt telegra.ph www.stes.tyc.edu.tw

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