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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Operations | 5-10% | - Cross-region Replication - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Disaster Recovery - Log Compaction |
| Topic 2: Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Topic Creation and Configuration |
| Topic 3: Kafka Fundamentals | 10-15% | - Replication Factor and ISR - Log Segments and Retention - Topics, Partitions, and Offsets - Brokers and Clusters - Producer and Consumer Basics |
| Topic 4: Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics - Producer Interceptors - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) - Partitioning Strategies - Error Handling and Retry Logic - Idempotent Producers |
| Topic 5: Kafka Streams | 20-25% | - Interactive Queries - Testing Kafka Streams Applications - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - State Stores and Processors - Windowed Operations (Tumbling, Hopping, Session) - Streams Architecture and Topology |
| Topic 6: Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Consumer Interceptors - Consumer Configuration and Tuning - Consumer Groups and Rebalancing - Offset Management - Commit Strategies (Auto, Manual, Cooperative) - Deserialization |
| Topic 7: Schema Management | 5-10% | - Schema Registration and Retrieval - Schema Registry Architecture - Protobuf and JSON Schemas - Avro Schemas - Schema Evolution and Compatibility |
| Topic 8: Kafka Connect | 10-15% | - Single Message Transformations (SMT) - Offset Management in Connect - Source and Sink Connectors - Connector Configuration - Converters and Transforms - Connect Architecture (Workers, Connectors, Tasks) |
| Topic 9: Security | 5-10% | - Authentication (SASL, SSL/TLS) - Authorization (ACLs) - Encryption in Transit - Securing Schema Registry |
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NEW QUESTION # 41
A producer application was sending messages to a partition with a replication factor of 2 by connecting to Broker 1 that was hosting partition leader. If the Broker 1 goes down, what will happen?
Answer: A
Explanation:
Once the client connects to any broker, it is connected to the entire cluster and in case of leadership changes, the clients automatically do a Metadata Request to an available broker to find out who is the new leader for the topic. Hence the producer will automatically keep on producing to the correct Kafka Broker
NEW QUESTION # 42
Which partition assignment minimizes partition movements between two assignments?
Answer: D
Explanation:
The StickyAssignor tries to minimize partition movement by preserving existing assignments as much as possible while still achieving a balanced assignment. This improves consumer stability and reduces rebalances.
From the Kafka Consumer Assignor Documentation:
"The StickyAssignor attempts to preserve as many existing assignments as possible, which helps minimize partition movement between rebalances." RoundRobinAssignor focuses on even distribution, not stability.
RangeAssignor groups partitions by topic and assigns them consecutively, but can lead to imbalances.
PartitionAssignor is an abstract base class, not an assignor used directly.
Reference: Kafka Consumer Assignor Docs
NEW QUESTION # 43
What information isn't stored inside of Zookeeper? (select two)
Answer: E
Explanation:
Consumer offsets are stored in a Kafka topic __consumer_offsets, and the Schema Registry stored schemas in the _schemas topic.
NEW QUESTION # 44
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?
producer.send(record, new MyCallback(record));
Answer: B
NEW QUESTION # 45
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?
Answer: A
Explanation:
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change broker.rack does
NEW QUESTION # 46
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