Exam CCDAK Overviews - CCDAK Authentic Exam Questions

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Confluent CCDAK Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Kafka Fundamentals10-15%- Replication Factor and ISR
- Topics, Partitions, and Offsets
- Log Segments and Retention
- Producer and Consumer Basics
- Brokers and Clusters
Topic 2: Security5-10%- Authentication (SASL, SSL/TLS)
- Encryption in Transit
- Authorization (ACLs)
- Securing Schema Registry
Topic 3: Kafka Connect10-15%- Source and Sink Connectors
- Offset Management in Connect
- Connector Configuration
- Connect Architecture (Workers, Connectors, Tasks)
- Single Message Transformations (SMT)
- Converters and Transforms
Topic 4: Installing and Configuring Kafka5-10%- Topic Creation and Configuration
- Broker Configuration Parameters
- ZooKeeper vs KRaft Mode
- Partition Assignment Strategies
Topic 5: Developing with Kafka Consumers15-20%- Commit Strategies (Auto, Manual, Cooperative)
- Consumer Configuration and Tuning
- Consumer Interceptors
- Offset Management
- Consumer Groups and Rebalancing
- Multi-threaded Consumers
- Deserialization
Topic 6: Schema Management5-10%- Schema Registry Architecture
- Schema Evolution and Compatibility
- Avro Schemas
- Protobuf and JSON Schemas
- Schema Registration and Retrieval
Topic 7: Kafka Streams20-25%- Exactly-Once Processing
- Streams Architecture and Topology
- State Stores and Processors
- Windowed Operations (Tumbling, Hopping, Session)
- Transformation Operations (map, filter, join, aggregate)
- Testing Kafka Streams Applications
- Interactive Queries
Topic 8: Developing with Kafka Producers15-20%- Producer Interceptors
- Partitioning Strategies
- Error Handling and Retry Logic
- Exactly-Once Semantics
- Idempotent Producers
- Producer Configuration and Tuning
- Serialization (JSON, Avro, Protobuf)
Topic 9: Monitoring and Operations5-10%- Kafka Metrics and Monitoring
- Cross-region Replication
- Disaster Recovery
- Consumer Lag and Health Checks
- Log Compaction

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q83-Q88):

NEW QUESTION # 83
Select all that applies (select THREE)

Answer: D,E,F

Explanation:
acks is a producer setting min.insync.replicas is a topic or broker setting and is only effective when acks=all


NEW QUESTION # 84
In Kafka Streams, by what value are internal topics prefixed by?

Answer: B

Explanation:
In Kafka Streams, the application.id is also the underlying group.id for your consumers, and the prefix for all internal topics (repartition and state)


NEW QUESTION # 85
You want to perform table lookups against a KTable everytime a new record is received from the KStream. What is the output of KStream-KTable join?

Answer: A

Explanation:
Here KStream is being processed to create another KStream.


NEW QUESTION # 86
(You are configuring a source connector that writes records to an Orders topic.
You need to send some of the records to a different topic.
Which Single Message Transform (SMT) is best suited for this requirement?)

Answer: C

Explanation:
According to the official Apache Kafka Connect documentation, RegexRouter is the SMT specifically designed to dynamically change the destination topic name of records produced by a connector. It works by applying a regular expression to the original topic name and rewriting it to a new topic name.
This makes RegexRouter the correct choice when some records must be routed to a different topic, typically in combination with connector-level logic, predicates, or multiple connectors. It is commonly used for topic renaming, topic versioning, or routing records to alternate topics.
InsertField (Option B) only adds metadata fields (such as topic, partition, or timestamp) to the record payload and does not affect routing. TombstoneHandler (Option C) is used to manage null-value records, especially with compacted topics. HeaderFrom (Option D) copies fields into headers but does not change the target topic.
Therefore, RegexRouter is the only SMT that directly supports changing the output topic, as documented in the Kafka Connect SMT reference.


NEW QUESTION # 87
What is a generic unique id that I can use for messages I receive from a consumer?

Answer: B

Explanation:
(Topic,Partition,Offset) uniquely identifies a message in Kafka


NEW QUESTION # 88
......

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