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| Section | Weight | Objectives |
|---|---|---|
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Streams Architecture and Topology - Exactly-Once Processing - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - Interactive Queries |
| Schema Management | 5-10% | - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture - Protobuf and JSON Schemas - Schema Registration and Retrieval |
| Security | 5-10% | - Authorization (ACLs) - Encryption in Transit - Authentication (SASL, SSL/TLS) - Securing Schema Registry |
| Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Partition Assignment Strategies - Broker Configuration Parameters - Topic Creation and Configuration |
| Kafka Connect | 10-15% | - Connector Configuration - Converters and Transforms - Source and Sink Connectors - Offset Management in Connect - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) |
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Log Segments and Retention - Topics, Partitions, and Offsets - Producer and Consumer Basics - Replication Factor and ISR |
| Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Consumer Interceptors - Offset Management - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Consumer Groups and Rebalancing - Multi-threaded Consumers |
| Monitoring and Operations | 5-10% | - Log Compaction - Consumer Lag and Health Checks - Cross-region Replication - Disaster Recovery - Kafka Metrics and Monitoring |
| Developing with Kafka Producers | 15-20% | - Error Handling and Retry Logic - Serialization (JSON, Avro, Protobuf) - Producer Configuration and Tuning - Partitioning Strategies - Exactly-Once Semantics - Idempotent Producers - Producer Interceptors |
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NEW QUESTION # 69
You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?
Answer: C
Explanation:
To ensureexactly-once deliveryand avoid duplicates even during retries:
* enable.idempotence=trueensures deduplication on the broker
* retries=2147483647allows unlimited retries on retriable errors
* max.in.flight.requests.per.connection=5is themaximum value that preserves message order with idempotence FromKafka Producer Config Docs:
"To achieve exactly-once semantics, set enable.idempotence=true, and max.in.flight.requests.per.connection #
5."
* A is unrelated (consumer-side)
* C disables retries
* D disables idempotence, leading to duplicates
Reference:Kafka Producer Configs > enable.idempotence, retries
NEW QUESTION # 70
(Which configuration is valid for deploying a JDBC Source Connector to read all rows from the orders table and write them to the dbl-orders topic?)
Answer: A
Explanation:
According to the official Apache Kafka Connect and Confluent JDBC Source Connector documentation, the correct connector class for a JDBC source connector is io.confluent.connect.jdbc.JdbcSourceConnector. This connector is used to read data from relational databases and publish each table as a Kafka topic.
To read all rows from a specific table, the configuration must include table.whitelist (or table.include.list in newer versions) with the table name, and a topic.prefix to determine the Kafka topic name. In this case, using topic.prefix=dbl- with table.whitelist=orders results in records being written to the dbl-orders topic, which matches the requirement.
Options A, B, and C are invalid because they reference a non-existent connector class (DdbcSourceConnector), contain unsupported properties such as topic.whitelist for a source connector, or include malformed/incorrect JDBC parameters. Additionally, blacklisting tables does not ensure that only the orders table is read.
Therefore, option D is the only configuration that is syntactically correct, uses the proper connector class, and aligns with the official Kafka Connect JDBC Source Connector documentation.
NEW QUESTION # 71
Which topic stores the sink connector offsets?
Answer: D
NEW QUESTION # 72
When is the onCompletion() method called?
private class ProducerCallback implements Callback {
@Override
public void onCompletion(RecordMetadata recordMetadata, Exception e) {
if (e != null) {
e.printStackTrace();
}
}
}
ProducerRecord<String, String> record =
new ProducerRecord<>("topic1", "key1", "value1");
producer.send(record, new ProducerCallback());
Answer: B
Explanation:
Callback is invoked when a broker response is received.
NEW QUESTION # 73
You create a topic named loT-Data with 10 partitions and replication factor of three.
A producer sends 1 MB messages compressed with Gzip.
Which two statements are true in this scenario?
(Select two.)
Answer: A,C
Explanation:
* A:Kafka batches storecompression metadata in their headers, indicating how the batch was compressed.
* B:Compression is controlled via theproducer config compression.type, which defaults to none.
Producers explicitly set Gzip or other formats.
FromKafka Producer Docs:
"Compression is done by the producer, and the type is stored in the message batch metadata. The broker does not recompress."
* C is false: messages are serializedbeforecompression.
* D is false: messages without keys are distributed acrossmultiple partitions.
Reference:Kafka Producer Configs > compression.type
NEW QUESTION # 74
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