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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Schema Management | 5-10% | - Protobuf and JSON Schemas - Schema Registry Architecture - Schema Registration and Retrieval - Schema Evolution and Compatibility - Avro Schemas |
| Topic 2: Monitoring and Operations | 5-10% | - Log Compaction - Cross-region Replication - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Disaster Recovery |
| Topic 3: Security | 5-10% | - Authorization (ACLs) - Encryption in Transit - Securing Schema Registry - Authentication (SASL, SSL/TLS) |
| Topic 4: Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Replication Factor and ISR - Log Segments and Retention - Brokers and Clusters - Producer and Consumer Basics |
| Topic 5: Developing with Kafka Producers | 15-20% | - Producer Interceptors - Exactly-Once Semantics - Partitioning Strategies - Error Handling and Retry Logic - Producer Configuration and Tuning - Idempotent Producers - Serialization (JSON, Avro, Protobuf) |
| Topic 6: Kafka Connect | 10-15% | - Single Message Transformations (SMT) - Connector Configuration - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect - Converters and Transforms |
| Topic 7: Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Partition Assignment Strategies - Topic Creation and Configuration - ZooKeeper vs KRaft Mode |
| Topic 8: Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Transformation Operations (map, filter, join, aggregate) - Exactly-Once Processing - Interactive Queries - Streams Architecture and Topology - State Stores and Processors - Windowed Operations (Tumbling, Hopping, Session) |
| Topic 9: Developing with Kafka Consumers | 15-20% | - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Multi-threaded Consumers - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Consumer Interceptors - Offset Management |
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NEW QUESTION # 27
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?
Answer: C
Explanation:
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change broker.
rack does
NEW QUESTION # 28
Which of the following is not an Avro primitive type?
Answer: A
Explanation:
date is a logical type
NEW QUESTION # 29
A consumer receives a Kafka message that is serialized using an Avro schema. The consumer does not have cache locally mapping between the schema id and the schema.
What does the consumer do?
Answer: A
NEW QUESTION # 30
Which actions will trigger partition rebalance for a consumer group? (select three)
Answer: A,B,C
Explanation:
Add a broker to the cluster
Explanation:
Rebalance occurs when a new consumer is added, removed or consumer dies or paritions increased.
NEW QUESTION # 31
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=1 can't produce?
Answer: B
Explanation:
min.insync.replicas does not impact producers when acks=1 (only when acks=all)
NEW QUESTION # 32
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