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| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Producer and Consumer Basics - Log Segments and Retention - Topics, Partitions, and Offsets - Replication Factor and ISR |
| Developing with Kafka Producers | 15-20% | - Idempotent Producers - Producer Interceptors - Producer Configuration and Tuning - Partitioning Strategies - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Exactly-Once Semantics |
| Monitoring and Operations | 5-10% | - Kafka Metrics and Monitoring - Log Compaction - Disaster Recovery - Cross-region Replication - Consumer Lag and Health Checks |
| Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Partition Assignment Strategies |
| Schema Management | 5-10% | - Schema Evolution and Compatibility - Schema Registration and Retrieval - Schema Registry Architecture - Protobuf and JSON Schemas - Avro Schemas |
| Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Multi-threaded Consumers - Offset Management - Consumer Interceptors - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing |
| Kafka Streams | 20-25% | - Streams Architecture and Topology - State Stores and Processors - Exactly-Once Processing - Testing Kafka Streams Applications - Interactive Queries - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) |
| Security | 5-10% | - Authentication (SASL, SSL/TLS) - Authorization (ACLs) - Encryption in Transit - Securing Schema Registry |
| Kafka Connect | 10-15% | - Connector Configuration - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect - Converters and Transforms - Single Message Transformations (SMT) |
1. This schema excerpt is an example of which schema format?
package com.mycorp.mynamespace;
message SampleRecord {
int32 Stock = 1;
double Price = 2;
string Product_Name = 3;
}
A) Protobuf
B) Avro
C) JSON Schema
D) YAML
2. You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)
A) Use a callback argument in producer.send() where you check delivery status.
B) Check the value of ProducerRecord.status().
C) Check that producer.send() returned a RecordMetadata object and is not null.
D) Surround the call of producer.send() with a try/catch block to catch KafkaException.
3. Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?
A) send.buffer.bytes
B) buffer.memory
C) max.block.size
D) batch.size
4. You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)
A) Both topics have the same value schema.
B) Both topics have the same retention time.
C) Both topics have the same key and partitioning strategy.
D) Both topics have the same number of partitions.
5. Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,D | Question # 3 Answer: D | Question # 4 Answer: C,D | Question # 5 Answer: Only visible for members |
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