中文版本

1. Instagram动态设计

目标：设计Instagram动态系统，展示个性化的用户内容。

• 组件：
  • 用户档案、帖子、评论和点赞。
  • 用于存储帖子、用户互动和获取动态的后端服务。
  • 个性化算法（机器学习）用于帖子排序。
  • 缓存和实时更新机制。
• 挑战：
  • 可扩展性（处理数百万用户）。
  • 实时更新（新帖子、点赞、评论）。
  • 媒体内容的高效存储和检索。

设计考虑：

• 分布式系统用于存储用户帖子和获取动态。
• 基于用户互动和社交图的动态排名。
• 使用边缘服务器和缓存以减少延迟。

2. 过去一周的热门歌曲前十名

目标：构建一个系统，跟踪过去一周最受欢迎的十首歌曲。

• 组件：
  • 音乐流数据收集。
  • 后端用于记录歌曲播放次数。
  • 用于确定流行度的排名算法。
  • 每周更新的聚合服务。
• 挑战：
  • 实时数据处理。
  • 从不同地区分布式收集数据。
  • 处理请求高峰（新发布、病毒趋势）。

设计考虑：

• 流处理用于聚合歌曲播放次数。
• 分布式数据库用于处理大量数据。
• 排名更新批次安排，以避免系统过载。

1. Instagram Feed Design

Objective: Design the Instagram feed system to display a user's personalized content.

• Components:
  • User profiles, posts, comments, and likes.
  • Backend services for storing posts, user interactions, and feed retrieval.
  • Personalization algorithms (machine learning) for ranking posts.
  • Cache and real-time update mechanisms.
• Challenges:
  • Scalability (handling millions of users).
  • Real-time updates (new posts, likes, comments).
  • Efficient storage and retrieval of media content.

Design Considerations:

• Distributed systems for storing user posts and retrieving feeds.
• Newsfeed ranking based on user engagement and social graph.
• Use of edge servers and cache to reduce latency.

2. Top 10 Songs in the Past Week

Objective: Build a system that tracks the top 10 most popular songs over the past week.

• Components:
  • Music streaming data collection.
  • Backend for logging song plays.
  • Ranking algorithm for determining popularity.
  • Aggregation services for weekly updates.
• Challenges:
  • Real-time data processing.
  • Distributed data collection from different regions.
  • Handling spikes in requests (new releases, viral trends).

Design Considerations:

• Stream processing for aggregating song plays.
• Distributed databases for handling large amounts of data.
• Ranking updates scheduled in batches to avoid overloading the system.

From these two problems, it's evident that Google interviews focus more on evaluating a candidate's analytical and reasoning skills rather than just writing code. Each problem has hidden complexities, and through the interviewer's guidance and conversation, they gradually probe the candidate's problem-solving approach. If you encounter similar problems, it's important to stay calm, analyze the situation, and gradually derive the optimal solution.

I hope these explanations help, and I wish you success in your future interviews!

如果您需要面试辅助或面试代面服务，帮助您进入梦想中的大厂，请随时联系我。

In this Meta interview, I demonstrated my understanding of common algorithmic problems and my problem-solving abilities. Each problem presented different challenges, but all could be solved through logical algorithm strategies.

If you need more interview support or interview proxy practice, feel free to contact us. We offer comprehensive interview support services to help you successfully land a job at your dream company.