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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitoring and Operations | 5-10% | - Disaster Recovery - Log Compaction - Kafka Metrics and Monitoring - Cross-region Replication - Consumer Lag and Health Checks |
| Topic 2: Security | 5-10% | - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Authorization (ACLs) - Encryption in Transit |
| Topic 3: Schema Management | 5-10% | - Schema Registry Architecture - Protobuf and JSON Schemas - Schema Registration and Retrieval - Schema Evolution and Compatibility - Avro Schemas |
| Topic 4: Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Topic Creation and Configuration - Partition Assignment Strategies |
| Topic 5: Developing with Kafka Consumers | 15-20% | - Deserialization - Offset Management - Multi-threaded Consumers - Consumer Groups and Rebalancing - Consumer Interceptors - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning |
| Topic 6: Developing with Kafka Producers | 15-20% | - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic - Partitioning Strategies - Producer Configuration and Tuning - Exactly-Once Semantics - Idempotent Producers - Producer Interceptors |
| Topic 7: Kafka Streams | 20-25% | - State Stores and Processors - Streams Architecture and Topology - Testing Kafka Streams Applications - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - Exactly-Once Processing - Interactive Queries |
| Topic 8: Kafka Fundamentals | 10-15% | - Brokers and Clusters - Replication Factor and ISR - Topics, Partitions, and Offsets - Log Segments and Retention - Producer and Consumer Basics |
| Topic 9: Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Single Message Transformations (SMT) - Offset Management in Connect - Source and Sink Connectors - Connector Configuration |
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NEW QUESTION # 81
You are sending messages with keys to a topic. To increase throughput, you decide to increase the number of partitions of the topic. Select all that apply.
Answer: B,D
Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled
NEW QUESTION # 82
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)
Answer: A,B
Explanation:
SMTs (Single Message Transforms) are lightweight transformations applied to individual messages as they pass through Kafka Connect.
Chaining SMTs: You can apply multiple SMTs in sequence by defining them in order in the connector config.
Masking or modifying fields is a common use case (e.g., redacting sensitive data).
From Kafka Connect Documentation:
"Single Message Transforms (SMTs) are applied to individual messages. You can chain multiple SMTs together." SMTs do not perform joins (B is incorrect).
Converters and SMTs are separate concerns (D is incorrect).
Reference: Kafka Connect Transformations Guide
NEW QUESTION # 83
You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
Which properties must your client include?
Answer: C
Explanation:
For SASL/PLAIN authentication over SSL, the correct combination is:
security.protocol=SASL_SSL
sasl.jaas.config=...PlainLoginModule required username=... password=...
From Kafka Security Documentation:
"For SASL/PLAIN over SSL, configure security.protocol=SASL_SSL and provide login module configuration using sasl.jaas.config." Options B and D are incorrect because they do not pair the correct protocol with the authentication method.
Reference: Apache Kafka Security Configs > SASL_SSL, PLAIN mechanism
NEW QUESTION # 84
You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?
Answer: A
Explanation:
To ensure exactly-once delivery and avoid duplicates even during retries:
enable.idempotence=true ensures deduplication on the broker
retries=2147483647 allows unlimited retries on retriable errors
max.in.flight.requests.per.connection=5 is the maximum value that preserves message order with idempotence From Kafka Producer Config Docs:
"To achieve exactly-once semantics, set enable.idempotence=true, and max.in.flight.requests.per.connection #
5."
A is unrelated (consumer-side)
C disables retries
D disables idempotence, leading to duplicates
Reference: Kafka Producer Configs > enable.idempotence, retries
NEW QUESTION # 85
You are building a consumer application that processes events from a Kafka topic. What is the most important metric to monitor to ensure real-time processing?
Answer: C
Explanation:
This metric shows the current lag (number of messages behind the broker)
NEW QUESTION # 86
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