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| Section | Weight | Objectives |
|---|---|---|
| Kafka Streams | 20-25% | - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications - State Stores and Processors - Windowed Operations (Tumbling, Hopping, Session) - Exactly-Once Processing - Interactive Queries - Streams Architecture and Topology |
| Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Log Segments and Retention - Producer and Consumer Basics - Brokers and Clusters - Replication Factor and ISR |
| Developing with Kafka Consumers | 15-20% | - Offset Management - Deserialization - Consumer Interceptors - Consumer Configuration and Tuning - Commit Strategies (Auto, Manual, Cooperative) - Multi-threaded Consumers - Consumer Groups and Rebalancing |
| Kafka Connect | 10-15% | - Offset Management in Connect - Single Message Transformations (SMT) - Connector Configuration - Converters and Transforms - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) |
| Schema Management | 5-10% | - Schema Registration and Retrieval - Schema Evolution and Compatibility - Avro Schemas - Protobuf and JSON Schemas - Schema Registry Architecture |
| Security | 5-10% | - Authentication (SASL, SSL/TLS) - Encryption in Transit - Authorization (ACLs) - Securing Schema Registry |
| Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Topic Creation and Configuration |
| Developing with Kafka Producers | 15-20% | - Producer Configuration and Tuning - Exactly-Once Semantics - Producer Interceptors - Error Handling and Retry Logic - Partitioning Strategies - Idempotent Producers - Serialization (JSON, Avro, Protobuf) |
| Monitoring and Operations | 5-10% | - Kafka Metrics and Monitoring - Disaster Recovery - Log Compaction - Cross-region Replication - Consumer Lag and Health Checks |
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NEW QUESTION # 15
In Java, Avro SpecificRecords classes are
Answer: B
Explanation:
SpecificRecord is created from generated record classes
NEW QUESTION # 16
In Avro, removing a field that does not have a default is a __ schema evolution
Answer: A
Explanation:
Clients with new schema will be able to read records saved with old schema.
NEW QUESTION # 17
A consumer has auto.offset.reset=latest, and the topic partition currently has data for offsets going from 45 to
2311. The consumer group never committed offsets for the topic before. Where will the consumer read from?
Answer: B
Explanation:
Latest means that data retrievals will start from where the offsets currently end
NEW QUESTION # 18
An application is consuming messages from Kafka.
The application logs show that partitions are frequently being reassigned within the consumer group.
Which two factors may be contributing to this?
(Select two.)
Answer: C,D
Explanation:
Frequentrebalancesin a consumer group occur when:
* Consumers are too slowand miss heartbeats (A), or
* Instances crash or restart, triggering group membership changes (D)
FromKafka Consumer Group Coordination Docs:
"If a consumer fails to send a heartbeat in time (due to slowness or crash), it is removed from the group, causing a rebalance." Option B (partition mismatch) affectsload balancing, not rebalance frequency.
Option C (broker storage) doesn't trigger consumer rebalances.
Reference:Kafka Consumer Group Coordination and Heartbeats
NEW QUESTION # 19
Using the Confluent Schema Registry, where are Avro schema stored?
Answer: D
Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic
NEW QUESTION # 20
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