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| Section | Weight | Objectives |
|---|---|---|
| Developing with Kafka Consumers | 15-20% | - Commit Strategies (Auto, Manual, Cooperative) - Consumer Interceptors - Multi-threaded Consumers - Consumer Configuration and Tuning - Offset Management - Consumer Groups and Rebalancing - Deserialization |
| Kafka Fundamentals | 10-15% | - Producer and Consumer Basics - Brokers and Clusters - Topics, Partitions, and Offsets - Log Segments and Retention - Replication Factor and ISR |
| Security | 5-10% | - Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) - Authorization (ACLs) |
| Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Kafka Metrics and Monitoring - Cross-region Replication - Disaster Recovery - Log Compaction |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Offset Management in Connect - Single Message Transformations (SMT) - Converters and Transforms - Connector Configuration - Source and Sink Connectors |
| Kafka Streams | 20-25% | - Interactive Queries - Exactly-Once Processing - Windowed Operations (Tumbling, Hopping, Session) - Testing Kafka Streams Applications - State Stores and Processors - Transformation Operations (map, filter, join, aggregate) - Streams Architecture and Topology |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Producer Configuration and Tuning - Idempotent Producers - Error Handling and Retry Logic - Exactly-Once Semantics - Serialization (JSON, Avro, Protobuf) - Producer Interceptors |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Topic Creation and Configuration - Broker Configuration Parameters - ZooKeeper vs KRaft Mode |
| Schema Management | 5-10% | - Schema Evolution and Compatibility - Schema Registry Architecture - Schema Registration and Retrieval - Protobuf and JSON Schemas - Avro Schemas |
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NEW QUESTION # 44
When using the Confluent Kafka Distribution, where does the schema registry reside?
Answer: A
Explanation:
Schema registry is a separate application that provides RESTful interface for storing and retrieving Avro schemas.
NEW QUESTION # 45
Clients that connect to a Kafka cluster are required to specify one or more brokers in the 'bootstrap.servers' parameter.
What is the primary advantage to specifying more than one broker?
Answer: C
NEW QUESTION # 46
A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);
Answer: A
Explanation:
subscribe() and assign() cannot be called by the same consumer, subscribe() is used to leverage the consumer group mechanism, while assign() is used to manually control partition assignment and reads assignment
NEW QUESTION # 47
Which item is not a valid ksqlDB data type?
Answer: B
NEW QUESTION # 48
You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)
Answer: B,C,E
Explanation:
A GlobalKTable is a replicated, read-only table available in full on all instances. It's best for reference or lookup datasets such as:
Product catalog
Customer profiles
Warehouse inventory
From Kafka Streams Developer Guide:
"Use GlobalKTable when you need to perform joins using non-partition-aligned reference data that's small enough to replicate." Purchases and transactions are high-throughput, time-sensitive streams, not static reference data.
Reference: Kafka Streams Concepts > GlobalKTable
NEW QUESTION # 49
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