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| Section | Weight | Objectives |
|---|---|---|
| Developing with Kafka Consumers | 15-20% | - Deserialization - Consumer Groups and Rebalancing - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning - Consumer Interceptors - Multi-threaded Consumers - Offset Management |
| Security | 5-10% | - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit - Authorization (ACLs) |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Single Message Transformations (SMT) - Converters and Transforms - Offset Management in Connect - Connector Configuration |
| Developing with Kafka Producers | 15-20% | - Exactly-Once Semantics - Partitioning Strategies - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Idempotent Producers - Producer Configuration and Tuning |
| Kafka Streams | 20-25% | - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors - Exactly-Once Processing - Testing Kafka Streams Applications - Interactive Queries - Streams Architecture and Topology |
| Kafka Fundamentals | 10-15% | - Replication Factor and ISR - Log Segments and Retention - Brokers and Clusters - Topics, Partitions, and Offsets - Producer and Consumer Basics |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Topic Creation and Configuration |
| Schema Management | 5-10% | - Schema Registry Architecture - Schema Registration and Retrieval - Protobuf and JSON Schemas - Schema Evolution and Compatibility - Avro Schemas |
| Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Log Compaction - Cross-region Replication - Kafka Metrics and Monitoring - Disaster Recovery |
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NEW QUESTION # 83
Your topic is log compacted and you are sending a message with the key K and value null. What will happen?
Answer: B
Explanation:
Sending a message with the null value is called a tombstone in Kafka and will ensure the log compacted topic does not contain any messages with the key K upon compaction
NEW QUESTION # 84
(You create an Orders topic with 10 partitions.
The topic receives data at high velocity.
Your Kafka Streams application initially runs on a server with four CPU threads.
You move the application to another server with 10 CPU threads to improve performance.
What does this example describe?)
Answer: D
Explanation:
This scenario describes vertical scaling, as defined in the Apache Kafka Streams documentation and general distributed systems terminology. Vertical scaling refers to adding more resources (CPU, memory, or disk) to a single machine to increase processing capacity.
In this example, the Kafka Streams application is moved from a server with four CPU threads to one with ten CPU threads, increasing the available compute resources without increasing the number of application instances. Kafka Streams can take advantage of additional CPU threads through its num.stream.threads configuration, allowing more partitions to be processed in parallel within the same application instance.
Horizontal scaling (also known as scaling out) would involve adding more application instances across multiple servers, not upgrading a single server. Option D is therefore incorrect, and Option C is not a recognized scaling term.
Thus, this example clearly illustrates vertical scaling, where performance is improved by increasing the capacity of a single node.
NEW QUESTION # 85
Which partition assignment minimizes partition movements between two assignments?
Answer: D
NEW QUESTION # 86
To continuously export data from Kafka into a target database, I should use
Answer: C
Explanation:
Kafka Connect Sink is used to export data from Kafka to external databases and Kafka Connect Source is used to import from external databases into Kafka.
NEW QUESTION # 87
What are the requirements for a Kafka broker to connect to a Zookeeper ensemble? (select two)
Answer: C,D
Explanation:
Each broker must have a unique broker id and connect to the same zk ensemble and root zNode
NEW QUESTION # 88
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