What are the top system design interview questions for Baidu interview?
When preparing for a system design interview at Baidu, candidates should be ready to discuss designing scalable, reliable, and efficient systems with a focus on search engines, AI, cloud services, and large-scale data processing. Here are some of the top system design interview questions commonly asked at Baidu:
Design a Search Engine Like Baidu
Candidates are expected to discuss the architecture required to build a search engine, including web crawling, indexing, query processing, and ranking algorithms. Key points include handling large volumes of data, ensuring low latency, and providing relevant search results.
Design a Real-Time Analytics Platform
This question tests the ability to design a system that collects, processes, and analyzes data in real-time for business intelligence purposes, such as understanding user behavior and optimizing search results. Important considerations include data ingestion, stream processing, scalability, and providing real-time insights.
Design a Scalable Ad Serving System
Candidates need to explain how they would build a system that delivers targeted ads to users in real-time. Key aspects include handling high traffic, real-time bidding, user profiling, and ensuring low latency and high relevance.
Design a Distributed Machine Learning System
This question involves creating a system that trains and deploys machine learning models across multiple nodes. Important considerations include data distribution, model synchronization, fault tolerance, and efficient resource utilization.
Design a Content Delivery Network (CDN)
Candidates should discuss how they would design a CDN to deliver content efficiently to users worldwide. Key points include caching strategies, load balancing, edge server placement, and reducing latency.
Design a Recommendation System
This question tests the ability to design a system that provides personalized recommendations to users based on their behavior, preferences, and other factors. Important aspects include data collection, machine learning models, real-time processing, and scalability.
Design a Large-Scale Data Storage System
Candidates need to design a system that stores and manages large volumes of structured and unstructured data efficiently. Key considerations include data partitioning, replication, consistency, and ensuring high availability and fault tolerance.
Design a Video Streaming Platform
This question involves creating a system to stream video content to users efficiently. Important considerations include video encoding, content delivery networks, real-time streaming, and handling high traffic loads.
Design a Scalable Logging and Monitoring System
Candidates should discuss how they would design a system that collects, stores, and analyzes logs from various services to monitor the health and performance of applications. Key points include data collection, storage solutions, real-time processing, alerting mechanisms, and scalability.
Design an Autonomous Driving System
This question tests the ability to design a system that processes sensor data from cameras, LIDAR, radar, and other inputs to make real-time driving decisions. Key aspects include sensor fusion, real-time data processing, path planning, and safety mechanisms.
These questions reflect Baidu’s emphasis on creating scalable, high-performance, and reliable systems across a range of applications, from search engines and AI to cloud services and autonomous driving. Preparing for these questions involves understanding the technical aspects of system design, scalability challenges, and creating robust, user-centric solutions that can handle large-scale operations efficiently.
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