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| Section | Weight | Objectives |
|---|---|---|
| Schema Management | 5-10% | - Schema Evolution and Compatibility - Schema Registration and Retrieval - Schema Registry Architecture - Avro Schemas - Protobuf and JSON Schemas |
| Kafka Connect | 10-15% | - Connector Configuration - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Single Message Transformations (SMT) - Offset Management in Connect - Converters and Transforms |
| Kafka Fundamentals | 10-15% | - Log Segments and Retention - Topics, Partitions, and Offsets - Replication Factor and ISR - Brokers and Clusters - Producer and Consumer Basics |
| Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Partition Assignment Strategies |
| Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Deserialization - Consumer Groups and Rebalancing - Consumer Interceptors - Multi-threaded Consumers - Offset Management - Commit Strategies (Auto, Manual, Cooperative) |
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Exactly-Once Processing - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - State Stores and Processors - Interactive Queries |
| Developing with Kafka Producers | 15-20% | - Producer Interceptors - Idempotent Producers - Serialization (JSON, Avro, Protobuf) - Partitioning Strategies - Error Handling and Retry Logic - Exactly-Once Semantics - Producer Configuration and Tuning |
| Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Cross-region Replication - Log Compaction - Disaster Recovery - Kafka Metrics and Monitoring |
| Security | 5-10% | - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit |
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NEW QUESTION # 43
You want to sink data from a Kafka topic to S3 using Kafka Connect. There are 10 brokers in the cluster, the topic has 2 partitions with replication factor of 3. How many tasks will you configure for the S3 connector?
Answer: C
Explanation:
You cannot have more sink tasks (= consumers) than the number of partitions, so 2.
NEW QUESTION # 44
Where are the ACLs stored in a Kafka cluster by default?
Answer: C
Explanation:
ACLs are stored in Zookeeper node /kafka-acls/ by default.
NEW QUESTION # 45
What exceptions may be caught by the following producer? (select two)
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
try {
producer.send(record);
} catch (Exception e) {
e.printStackTrace();
}
Answer: A,D
Explanation:
These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.
NEW QUESTION # 46
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?
Answer: B
Explanation:
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change broker.rack does
NEW QUESTION # 47
There are five brokers in a cluster, a topic with 10 partitions and replication factor of 3, and a quota of producer_bytes_rate of 1 MB/sec has been specified for the client. What is the maximum throughput allowed for the client?
Answer: A
Explanation:
Each producer is allowed to produce @ 1MB/s to a broker. Max throughput 5 * 1MB, because we have 5 brokers.
NEW QUESTION # 48
......
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