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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kafka Streams | 20-25% | - Streams Architecture and Topology - Testing Kafka Streams Applications - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors - Interactive Queries |
| Topic 2: Developing with Kafka Consumers | 15-20% | - Deserialization - Multi-threaded Consumers - Offset Management - Consumer Groups and Rebalancing - Consumer Interceptors - Consumer Configuration and Tuning - Commit Strategies (Auto, Manual, Cooperative) |
| Topic 3: Schema Management | 5-10% | - Protobuf and JSON Schemas - Schema Registry Architecture - Schema Evolution and Compatibility - Schema Registration and Retrieval - Avro Schemas |
| Topic 4: Security | 5-10% | - Authorization (ACLs) - Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) |
| Topic 5: Monitoring and Operations | 5-10% | - Log Compaction - Consumer Lag and Health Checks - Disaster Recovery - Cross-region Replication - Kafka Metrics and Monitoring |
| Topic 6: Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Error Handling and Retry Logic - Producer Interceptors - Partitioning Strategies - Producer Configuration and Tuning - Exactly-Once Semantics |
| Topic 7: Kafka Fundamentals | 10-15% | - Producer and Consumer Basics - Replication Factor and ISR - Log Segments and Retention - Brokers and Clusters - Topics, Partitions, and Offsets |
| Topic 8: Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Broker Configuration Parameters - Topic Creation and Configuration |
| Topic 9: Kafka Connect | 10-15% | - Source and Sink Connectors - Connector Configuration - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Offset Management in Connect - Converters and Transforms |
>> CCDAK Certified Questions <<
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NEW QUESTION # 21
(You deploy a Kafka Streams application with five application instances.
Kafka Streams stores application metadata using internal topics.
Auto-topic creation is disabled in the Kafka cluster.
Which statement about this scenario is true?)
Answer: A
Explanation:
According to the official Apache Kafka Streams documentation, Kafka Streams relies on internal topics (such as changelog topics and repartition topics) to store state, task assignments, and application metadata. These topics are essential for fault tolerance, rebalancing, and state recovery.
When auto-topic creation is disabled, Kafka Streams cannot automatically create the required internal topics unless they already exist. In this situation, the Streams application will fail during startup with a fatal, non- retriable exception, indicating that the necessary internal topics could not be created.
Kafka Streams does not pause or wait for manual topic creation, nor does it operate without storing metadata.
Instead, it explicitly requires these topics to exist or be creatable. While administrators can manually pre- create the required internal topics with the correct configuration, failure to do so causes the application to terminate.
Therefore, the correct and documented behavior is that the Kafka Streams application terminates with a non- retriable exception when auto-topic creation is disabled and required internal topics are missing.
NEW QUESTION # 22
A consumer starts and has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 643 for the topic before. Where will the consumer read from?
Answer: D
Explanation:
The offsets are already committed for this consumer group and topic partition, so the property auto.offset.reset is ignored
NEW QUESTION # 23
The rule "same key goes to the same partition" is true unless...
Answer: A
Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled.
NEW QUESTION # 24
The kafka-console-consumer CLI, when used with the default options
Answer: A
Explanation:
If a group is not specified, the kafka-console-consumer generates a random consumer group.
NEW QUESTION # 25
A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a produce request with acks=all is sent to broker?
Answer: C
Explanation:
With this configuration, a single in-sync replica becomes read-only. Produce request will receive NotEnoughReplicasException.
NEW QUESTION # 26
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