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Simulate the real exam
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Only need to practice for 20 to 30 hours
You will get to know the valuable exam tips and the latest question types in our CCDAK certification training files, and there are special explanations for some difficult questions, which can help you to have a better understanding of the difficult questions. All of the questions we listed in our CCDAK practice exam materials are the key points for the IT exam, and there is no doubt that you can practice all of CCDAK best questions within 20 to 30 hours, even though the time you spend on it is very short, however the contents you have practiced are the quintessence for the IT exam. And of course, if you still have any misgivings, you can practice our CCDAK certification training files again and again, which may help you to get the highest score in the IT exam.
Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Topics, Partitions, and Offsets - Producer and Consumer Basics - Log Segments and Retention - Replication Factor and ISR |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Broker Configuration Parameters |
| Security | 5-10% | - Encryption in Transit - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Authorization (ACLs) |
| Developing with Kafka Consumers | 15-20% | - Consumer Groups and Rebalancing - Consumer Configuration and Tuning - Offset Management - Consumer Interceptors - Deserialization - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) |
| Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Partitioning Strategies - Idempotent Producers - Producer Configuration and Tuning |
| Kafka Connect | 10-15% | - Offset Management in Connect - Source and Sink Connectors - Connector Configuration - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Single Message Transformations (SMT) |
| Kafka Streams | 20-25% | - Exactly-Once Processing - Streams Architecture and Topology - Interactive Queries - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - Testing Kafka Streams Applications |
| Monitoring and Operations | 5-10% | - Disaster Recovery - Cross-region Replication - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Log Compaction |
| Schema Management | 5-10% | - Schema Registry Architecture - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas - Schema Evolution and Compatibility |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?
A) Tumbling
B) Session
C) Sliding
D) Hopping
2. Your application is consuming from a topic configured with a deserializer.
It needs to be resilient to badly formatted records ("poison pills"). You surround the poll() call with a try/catch for RecordDeserializationException.
You need to log the bad record, skip it, and continue processing.
Which action should you take in the catch block?
A) Log the bad record, no other action needed.
B) Log the bad record and call the consumer.skip() method.
C) Throw a runtime exception to trigger a restart of the application.
D) Log the bad record and seek the consumer to the offset of the next record.
3. (Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)
A) max.poll.records
B) max.records.consumer
C) fetch.max.records
D) max.poll.records.interval
4. You create a producer that writes messages about bank account transactions from tens of thousands of different customers into a topic.
Your consumers must process these messages with low latency and minimize consumer lag Processing takes ~6x longer than producing Transactions for each bank account must be processed in orderWhich strategy should you use?
A) Use the bank account number found in the message as the message key.
B) Use the timestamp of the message's arrival as its key.
C) Use a unique identifier such as a universally unique identifier (UUID) as the message key.
D) Use a combination of the bank account number and the transaction timestamp as the message key.
5. What are two examples of performance metrics?
(Select two.)
A) Number of active user sessions
B) total-login-attempts
C) incoming-byte-rate
D) fetch-rate
E) Time of last failed login
F) Number of active users
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C,D |



