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| Section | Weight | Objectives |
|---|---|---|
| Apache Kafka Streams | 12% | - Error handling and state management - Stream processing operations: map, filter, join, aggregation - Streams API concepts: topology, processors, state stores - Windowing and time semantics |
| Application Testing | 8% | - Mocking and test utilities - Unit testing producers and consumers - Integration testing and test clusters |
| Apache Kafka Fundamentals | 23% | - Kafka architecture and data flow - Delivery semantics: at-most-once, at-least-once, exactly-once - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup |
| Apache Kafka Application Development | 28% | - Producer API: configuration, serialization, partitioning, error handling - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution - Transactional messaging and idempotence |
| Application Observability | 13% | - Tracing and performance tuning - Logging and monitoring metrics - Error diagnosis and troubleshooting |
| Kafka Connect | 15% | - Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters |
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NEW QUESTION # 89
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...
Answer: D
Explanation:
Setting a group.id that's consistent across restarts will allow your consumers part of the same group to resume reading from where offsets were last committed for that group
NEW QUESTION # 90
You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?
Answer: A
Explanation:
Kafka Connect can run in standalone mode or distributed mode. For simple tasks like reading logs from a file on a single host, standalone mode is recommended.
From Kafka Connect User Guide:
"Standalone mode is useful when running connectors on a single machine (e.g., for development or simple deployments like log collection from a local file)." Distributed mode is preferred for scalability and fault tolerance but overkill for this use case.
Reference: Kafka Connect User Guide > Deployment Modes
NEW QUESTION # 91
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: A
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 # 92
When running a ksqlDB for connectors, what does the IF NOT EXISTS clause do?
Answer: B
NEW QUESTION # 93
A client connects to a broker in the cluster and sends a fetch request for a partition in a topic. It gets an exception Not Leader For Partition Exception in the response. How does client handle this situation?
Answer: D
Explanation:
In case the consumer has the wrong leader of a partition, it will issue a metadata request. The Metadata request can be handled by any node, so clients know afterwards which broker are the designated leader for the topic partitions. Produce and consume requests can only be sent to the node hosting partition leader.
NEW QUESTION # 94
......
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