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| Section | Weight | Objectives |
|---|---|---|
| Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - State Stores and Processors - Interactive Queries - Streams Architecture and Topology - Exactly-Once Processing |
| Monitoring and Operations | 5-10% | - Kafka Metrics and Monitoring - Cross-region Replication - Consumer Lag and Health Checks - Log Compaction - Disaster Recovery |
| Schema Management | 5-10% | - Schema Registry Architecture - Protobuf and JSON Schemas - Schema Evolution and Compatibility - Avro Schemas - Schema Registration and Retrieval |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Exactly-Once Semantics - Idempotent Producers - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) - Producer Interceptors - Error Handling and Retry Logic |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Broker Configuration Parameters |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Connector Configuration - Offset Management in Connect - Source and Sink Connectors - Converters and Transforms |
| Kafka Fundamentals | 10-15% | - Brokers and Clusters - Producer and Consumer Basics - Replication Factor and ISR - Log Segments and Retention - Topics, Partitions, and Offsets |
| Developing with Kafka Consumers | 15-20% | - Consumer Interceptors - Offset Management - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Multi-threaded Consumers - Consumer Configuration and Tuning - Consumer Groups and Rebalancing |
| Security | 5-10% | - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit |
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NEW QUESTION # 35
Which function does ZooKeeper offer in Kafka?
Answer: C
NEW QUESTION # 36
By default, which replica will be elected as a partition leader? (select two)
Answer: B,C
Explanation:
Preferred leader is a broker that was leader when topic was created. It is preferred because when partitions are first created, the leaders are balanced between brokers. Otherwise, any of the in-sync replicas (ISR) will be elected leader, as long as unclean.leader.election=false (by default)
NEW QUESTION # 37
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?
Answer: D
Explanation:
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.
NEW QUESTION # 38
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...
Answer: B
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 # 39
You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You need to optimize throughput so the consumer group processes more messages in the same amount of time.
Which change should you make?
Answer: D
Explanation:
To increase consumerthroughput, one effective strategy is toincrease the amount of datafetched in each poll by raisingfetch.max.bytesormax.partition.fetch.bytes. This allows each poll to retrieve more records per request, improving processing efficiency.
FromKafka Consumer Config Docs:
"Increasing fetch size allows consumers to retrieve larger batches of messages, improving throughput and reducing request overhead."
* Removing consumers (A) may reduce parallelism.
* Manual commit (C) adds complexity, not throughput.
* Decreasing session timeout (D) risks unnecessary rebalances.
Reference:Kafka Consumer Configuration > fetch.max.bytes
NEW QUESTION # 40
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