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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kafka Connect | 15% | - Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters |
| Topic 2: Apache Kafka Application Development | 28% | - Transactional messaging and idempotence - Producer API: configuration, serialization, partitioning, error handling - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution |
| Topic 3: Apache Kafka Streams | 12% | - Windowing and time semantics - Streams API concepts: topology, processors, state stores - Error handling and state management - Stream processing operations: map, filter, join, aggregation |
| Topic 4: Application Testing | 8% | - Unit testing producers and consumers - Mocking and test utilities - Integration testing and test clusters |
| Topic 5: Application Observability | 13% | - Logging and monitoring metrics - Tracing and performance tuning - Error diagnosis and troubleshooting |
| Topic 6: Apache Kafka Fundamentals | 23% | - Delivery semantics: at-most-once, at-least-once, exactly-once - Kafka architecture and data flow - Configuration basics and cluster setup - Core concepts: brokers, topics, partitions, replicas, offsets |
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NEW QUESTION # 91
Which of the following statements are true regarding the number of partitions of a topic?
Answer: D
Explanation:
We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command
NEW QUESTION # 92
What isn't an internal Kafka Connect topic?
Answer: D
Explanation:
connect-configs stores configurations, connect-status helps to elect leaders for connect, and connect-offsets store source offsets for source connectors
NEW QUESTION # 93
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: C
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 # 94
What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)
Answer: A,C,E
Explanation:
The Kafka Streams DSL provides three primary abstractions:
KStream: Represents an unbounded stream of records (append-only).
KTable: Represents a changelog stream where each key has the latest value (like a materialized view).
GlobalKTable: A fully replicated version of KTable across all stream instances, enabling global joins.
From Kafka Streams Developer Guide:
"Kafka Streams provides three core abstractions: KStream, KTable, and GlobalKTable, each serving different purposes in stream processing and joins." GlobalKStream and StreamTable do not exist in Kafka's API.
Reference: Kafka Streams Concepts > KStream, KTable, GlobalKTable
NEW QUESTION # 95
There are 3 brokers in the cluster. You want to create a topic with a single partition that is resilient to one broker failure and one broker maintenance. What is the replication factor will you specify while creating the topic?
Answer: D
Explanation:
1 is not possible as it doesn't provide resilience to failure, 2 is not enough as if we take a broker down for maintenance, we cannot tolerate a broker failure, and 6 is impossible as we only have 3 brokers (RF cannot be greater than the number of brokers). Here the correct answer is 3
NEW QUESTION # 96
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