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| Section | Weight | Objectives |
|---|---|---|
| Application Observability | 13% | - Tracing and performance tuning - Logging and monitoring metrics - Error diagnosis and troubleshooting |
| Apache Kafka Application Development | 28% | - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Schema management: Confluent Schema Registry, compatibility rules, evolution - Consumer API: configuration, offset management, consumer groups, rebalancing |
| Application Testing | 8% | - Integration testing and test clusters - Mocking and test utilities - Unit testing producers and consumers |
| Apache Kafka Fundamentals | 23% | - Delivery semantics: at-most-once, at-least-once, exactly-once - Core concepts: brokers, topics, partitions, replicas, offsets - Kafka architecture and data flow - Configuration basics and cluster setup |
| Kafka Connect | 15% | - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns |
| Apache Kafka Streams | 12% | - Error handling and state management - Stream processing operations: map, filter, join, aggregation - Windowing and time semantics - Streams API concepts: topology, processors, state stores |
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NEW QUESTION # 65
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?
Answer: A
Explanation:
Session windowsare ideal for trackingperiods of activity separated by inactivity, such as user sessions.
FromKafka Streams Documentation > Windowing:
"A session window captures streams of events that areintermittentand separated by agap of inactivity."
* Tumbling/Hopping/Sliding windows are fixed in size
* Session windows are dynamic and close after inactivity timeout
This makes them perfect for identifyinggaps in user interaction.
Reference:Kafka Streams Developer Guide > Session Windows
NEW QUESTION # 66
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
Answer: A
Explanation:
To reset offsets for an existing consumer group, you must use the kafka-consumer-groups.sh tool with the -- reset-offsets and --to-earliest flags.
From Kafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets." Setting auto.offset.reset=earliest only works if no committed offset exists.
Starting a new consumer with the same group won't reset offsets.
Retention settings don't affect committed offsets.
Reference: Kafka Consumer Group CLI Tool
NEW QUESTION # 67
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: C
Explanation:
Each producer is allowed to produce @ 1MB/s to a broker. Max throughput 5 * 1MB, because we have 5 brokers.
NEW QUESTION # 68
If I supply the setting compression.type=snappy to my producer, what will happen? (select two)
Answer: D
Explanation:
Kafka transfers data with zero copy and no transformation. Any transformation (including compression) is the responsibility of clients.
NEW QUESTION # 69
An application is writing AVRO messages using Schema Registry to topic t1. During this process, the Schema Registry becomes unavailable for a few seconds.
What is the expected impact to the application?
Answer: C
NEW QUESTION # 70
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