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| Section | Weight | Objectives |
|---|---|---|
| Developing with Kafka Consumers | 15-20% | - Consumer Interceptors - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing - Consumer Configuration and Tuning - Offset Management - Multi-threaded Consumers - Deserialization |
| Security | 5-10% | - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Authorization (ACLs) - Encryption in Transit |
| Schema Management | 5-10% | - Protobuf and JSON Schemas - Schema Registry Architecture - Avro Schemas - Schema Registration and Retrieval - Schema Evolution and Compatibility |
| Kafka Streams | 20-25% | - State Stores and Processors - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - Exactly-Once Processing - Interactive Queries - Testing Kafka Streams Applications |
| Developing with Kafka Producers | 15-20% | - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Exactly-Once Semantics - Partitioning Strategies - Producer Configuration and Tuning - Idempotent Producers - Error Handling and Retry Logic |
| Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Log Segments and Retention - Replication Factor and ISR - Brokers and Clusters - Producer and Consumer Basics |
| Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Partition Assignment Strategies |
| Kafka Connect | 10-15% | - Offset Management in Connect - Converters and Transforms - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Source and Sink Connectors - Connector Configuration |
| Monitoring and Operations | 5-10% | - Log Compaction - Disaster Recovery - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Cross-region Replication |
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NEW QUESTION # 11
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?
Answer: C
Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status
/1161303431501324293?s=09
NEW QUESTION # 12
An application is consuming messages from Kafka. You observe partitions being frequently reassigned to the consumer group from the application logs.
Which factors may be contributing to this? (Choose 2.)
Answer: D
NEW QUESTION # 13
If I want to have an extremely high confidence that leaders and replicas have my data, I should use
Answer: C
Explanation:
acks=all means the leader will wait for all in-sync replicas to acknowledge the record. Also the min in-sync replica setting specifies the minimum number of replicas that need to be in-sync for the partition to remain available for writes.
NEW QUESTION # 14
Which of the following is a push query?
Answer: D
NEW QUESTION # 15
You have a Kafka Connect cluster with multiple connectors.
One connector is not working as expected.
How can you find logs related to that specific connector?
Answer: B
Explanation:
To isolate logs for a specific connector, you can configure a separate logger and appender in the Connect worker's log4j.properties file, using the connector's name as the logging context.
From Kafka Connect Logging Docs:
"Kafka Connect loggers use hierarchical logger names. You can configure per-connector log levels and output files by extending log4j.properties." A and C change verbosity but don't separate logs.
D is false; targeted logging is possible.
Reference: Kafka Connect > Logging and Debugging
NEW QUESTION # 16
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