Prepare to dive deep into the nuances of designing a Kafka-inspired distributed log system. This interview replicates a high-stakes scenario where you need to address complex topics such as leader election, consumer offsets, and scaling challenges, simulating a real-world technical interview with a FAANG+ expert. With a structured, multi-phased approach, you'll tackle functional and non-functional requirements, high-level components, and detailed designs—a comprehensive journey from concept to implementation.

Get ready to enhance your problem-solving skills in the following areas:

• Distributed Data Streaming: Efficiently handle high volumes of real-time data transfer between producers and consumers.
• High Throughput and Scalability: Design robust systems that can manage significant data flow and expand seamlessly.
• Fault Tolerance and Data Integrity: Implement reliable replication and leader election mechanisms to ensure data durability and availability.
• Consumer Synchronization: Address challenges in maintaining accurate consumer offsets and balancing the load among consumers.

By the end of this interview, you will be better equipped to architect scalable, resilient, and efficient distributed log systems using Kafka principles, preparing you for your next advanced system design interview.