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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Schema Management | 5-10% | - Schema Registry Architecture - Avro Schemas - Schema Registration and Retrieval - Schema Evolution and Compatibility - Protobuf and JSON Schemas |
| Topic 2: Security | 5-10% | - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Authorization (ACLs) - Encryption in Transit |
| Topic 3: Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Broker Configuration Parameters - Partition Assignment Strategies |
| Topic 4: Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Cross-region Replication - Disaster Recovery - Log Compaction - Kafka Metrics and Monitoring |
| Topic 5: Kafka Connect | 10-15% | - Converters and Transforms - Connector Configuration - Single Message Transformations (SMT) - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Offset Management in Connect |
| Topic 6: Developing with Kafka Consumers | 15-20% | - Consumer Configuration and Tuning - Commit Strategies (Auto, Manual, Cooperative) - Multi-threaded Consumers - Consumer Interceptors - Deserialization - Consumer Groups and Rebalancing - Offset Management |
| Topic 7: Kafka Fundamentals | 10-15% | - Log Segments and Retention - Brokers and Clusters - Producer and Consumer Basics - Replication Factor and ISR - Topics, Partitions, and Offsets |
| Topic 8: Kafka Streams | 20-25% | - Exactly-Once Processing - Streams Architecture and Topology - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - Testing Kafka Streams Applications - Interactive Queries - State Stores and Processors |
| Topic 9: Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Exactly-Once Semantics - Error Handling and Retry Logic - Producer Configuration and Tuning - Partitioning Strategies - Producer Interceptors |
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NEW QUESTION # 86
You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)
Answer: B,C
Explanation:
For proper delivery handling with acks=all:
* Usecallbackto log or act on success/failure.
* Usetry/catchto handle synchronous exceptions like serialization errors or network failures.
FromKafka Producer Documentation:
"Errors can be caught either via the returned Future<RecordMetadata> or via the callback interface. For fatal errors, use a try/catch block around the send call." Option B is incorrect because send() returns a Future, not RecordMetadata directly.
Option D is invalid - ProducerRecord has no method called status().
Reference:Kafka Producer Error Handling and Callback APIs
NEW QUESTION # 87
Which topic stores the sink connector offsets?
Answer: C
NEW QUESTION # 88
You create a topic named loT-Data with 10 partitions and replication factor of three.
A producer sends 1 MB messages compressed with Gzip.
Which two statements are true in this scenario?
(Select two.)
Answer: C,D
Explanation:
A: Kafka batches store compression metadata in their headers, indicating how the batch was compressed.
B: Compression is controlled via the producer config compression.type, which defaults to none. Producers explicitly set Gzip or other formats.
From Kafka Producer Docs:
"Compression is done by the producer, and the type is stored in the message batch metadata. The broker does not recompress." C is false: messages are serialized before compression.
D is false: messages without keys are distributed across multiple partitions.
Reference: Kafka Producer Configs > compression.type
NEW QUESTION # 89
You are using JDBC source connector to copy data from 2 tables to two Kafka topics. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?
Answer: A
Explanation:
we have two tables, so the max number of tasks is 2
NEW QUESTION # 90
A bank uses a Kafka cluster for credit card payments. What should be the value of the property unclean.leader.
election.enable?
Answer: A
Explanation:
Setting unclean.leader.election.enable to true means we allow out-of-sync replicas to become leaders, we will lose messages when this occurs, effectively losing credit card payments and making our customers very angry.
NEW QUESTION # 91
......
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