Apache Kafka

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The Confluent Certified Administrator for Apache Kafka certification tests the knowledge and skills needed to manage, monitor, and configure a Kafka ecosystem effectively. The exam covers a range of topics to ensure that certified administrators can operate Kafka clusters proficiently.

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Overview

The Syllabus

Curriculum Designed by Experts

Kafka Basics

• Overview of Kafka architecture and components
• Understanding Kafka producers, consumers, topics, and partitions
• Key concepts: brokers, replication, and logs
• Di erences between Kafka and traditional messaging systems

Kafka Installation and Configuration

• Setting up a Kafka cluster and ZooKeeper (or KRaft mode in newer
versions)
• Configuration of brokers, producers, and consumers
• Important configuration parameters for performance tuning
• Data retention policies and log segment management

Cluster Management and Operations

• Adding, removing, and replacing brokers in a cluster
• Rebalancing partitions across brokers
• Handling broker failures and recovery
• Managing Kafka and ZooKeeper for high availability
• Upgrading Kafka clusters

Replication and Data Reliability

• In-synch replica (ISR) concept and unclean leader election
• Leader election and failover
• Configuring replication factors and replication settings
• Understanding acks and data durability

Kafka Security

• Configuring authentication and authorization (SSL, SASL)
• Kafka ACLs (Access Control Lists) for fine-grained access control
• Enabling encryption in-transit and at-rest
• Securing ZooKeeper

Monitoring and Troubleshooting

• Using Kafka metrics and monitoring tools (e.g., Confluent Control
Center, Prometheus, Grafana)
• Key performance indicators (KPIs) to monitor Kafka health
• Troubleshooting common Kafka issues (e.g., consumer lag, broker
issues)
• Log analysis and debugging

Data Retention and Management

• Configuring topic-level retention policies
• Compaction and deletion policies
• Segment configuration and log cleanup
• Managing o sets and dealing with consumer rebalances

Kafka Streams and Connect (Overview)

• Introduction to Kafka Streams API and Kafka Connect
• Basic configuration and management of connectors
• Integrating with external systems using Kafka Connect
• Simple use cases for Kafka Streams and transformations

Performance Tuning and Optimization

• Tuning Kafka for high throughput and low latency
• Key configuration settings for optimizing producer, consumer, and
broker performance
• Hardware considerations (disk, memory, and network)
• Producer and consumer batching, compression, and acknowledgment
settings

Backup and Disaster Recovery

• Backing up Kafka data and configurations
• Configuring multi-cluster replication with Confluent’s Replicator or
Mirror Maker
• Disaster recovery strategies and failover techniques

Kafka Ecosystem and Confluent Platform Overview

• Components of the Confluent Platform (Schema Registry, REST Proxy,
KSQL, etc.)
• Basic usage of Schema Registry for schema management and evolution
• Using Confluent Control Center for management and monitoring

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