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| Section | Weight | Objectives |
|---|---|---|
| Kafka Fundamentals | 10-15% | - Log Segments and Retention - Topics, Partitions, and Offsets - Brokers and Clusters - Replication Factor and ISR - Producer and Consumer Basics |
| Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Commit Strategies (Auto, Manual, Cooperative) - Offset Management - Consumer Configuration and Tuning - Deserialization - Consumer Interceptors - Consumer Groups and Rebalancing |
| Security | 5-10% | - Securing Schema Registry - Encryption in Transit - Authentication (SASL, SSL/TLS) - Authorization (ACLs) |
| Kafka Connect | 10-15% | - Connector Configuration - Offset Management in Connect - Single Message Transformations (SMT) - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Converters and Transforms |
| Monitoring and Operations | 5-10% | - Cross-region Replication - Log Compaction - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Disaster Recovery |
| Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Idempotent Producers - Error Handling and Retry Logic - Producer Interceptors - Producer Configuration and Tuning - Partitioning Strategies - Exactly-Once Semantics |
| Kafka Streams | 20-25% | - Interactive Queries - Exactly-Once Processing - Streams Architecture and Topology - Windowed Operations (Tumbling, Hopping, Session) - Testing Kafka Streams Applications - Transformation Operations (map, filter, join, aggregate) - State Stores and Processors |
| Installing and Configuring Kafka | 5-10% | - ZooKeeper vs KRaft Mode - Topic Creation and Configuration - Partition Assignment Strategies - Broker Configuration Parameters |
| Schema Management | 5-10% | - Avro Schemas - Schema Evolution and Compatibility - Schema Registry Architecture - Protobuf and JSON Schemas - Schema Registration and Retrieval |
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NEW QUESTION # 35
is KSQL ANSI SQL compliant?
Answer: B
Explanation:
KSQL is not ANSI SQL compliant, for now there are no defined standards on streaming SQL languages
NEW QUESTION # 36
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.retention.ms = 168 How long will the messages be retained for?
Answer: D
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 37
Which tool can you use to modify the replication factor of an existing topic?
Answer: B
Explanation:
To change the replication factor of an existing topic, you must perform apartition reassignment, because the replication factor is not directly modifiable via kafka-topics.sh. Thekafka-reassign-partitions.shtool is the official command-line utility to handle partition reassignments, including changing the replication factor.
This tool allows you to generate a reassignment JSON specifying new replica assignments per partition and then apply it.
From official documentation:
"To change the replication factor, use the kafka-reassign-partitions tool to assign the partitions to more or fewer brokers." Neither kafka-topics.sh nor kafka-reassign-topics.sh exists for this purpose, and kafka-recreate-topic.sh isnot an official Kafka tool.
Reference:Apache Kafka documentation > Operations > Changing Replication Factor
NEW QUESTION # 38
Which of the following setting increases the chance of batching for a Kafka Producer?
Answer: D
Explanation:
linger.ms forces the producer to wait to send messages, hence increasing the chance of creating batches
NEW QUESTION # 39
Which KSQL queries write to Kafka?
Answer: A,D
Explanation:
SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics. Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example SELECT * FROM foo WHERE. Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.
NEW QUESTION # 40
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