Autumn Trick Time Planning: A Knowledge Summary and Interview Reflection

Software Engineering
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Autumn Trick Time Planning: A Knowledge Summary and Interview Reflection

As the autumn leaves change colors, I reflect on the journey of preparation that led me to secure a job offer from a medium-sized Internet company. This article is a summary of my knowledge acquisition, interview questions, and the mental shift I experienced throughout the process.

I. Stock of Knowledge

In the months leading up to the interviews, I focused on building a strong foundation in computer science. I reviewed the basics, including:

  1. Algorithm: Proved safety, algorithmic thinking, and problem-solving skills. I studied classic problems like sorting, dynamic programming, and greedy algorithms.
  2. Data Structures: Mastered stacks, queues, linked lists, binary trees, B-trees, and red-black trees. I also learned about the STL and C++.
  3. C++: Familiarized myself with pointers, virtual functions, static modifiers, const, and reference design patterns.
  4. Computer Network: Studied TCP, UDP, HTTP, DNS resolution, and the process of resolving domain names.
  5. Database: Learned about SQL statements, integrity constraints, B-tree storage, relational algebra, and database recovery techniques.
  6. Operating System: Focused on deadlocks, process management, and memory management.
  7. Design Patterns: Explored the Singleton pattern, Factory pattern, Abstract Factory pattern, Adapter pattern, and Decorator pattern.

II. Interview Questions

During the interview process, I encountered a variety of questions, which can be categorized into six types:

  1. Algorithm: Questions that tested my problem-solving skills, such as sorting, dynamic programming, and greedy algorithms.
  2. C++: Questions that assessed my understanding of C++ fundamentals, including pointers, virtual functions, and static modifiers.
  3. Big Data: Questions that probed my knowledge of data distribution, replication, consistency, and fault tolerance.
  4. Algorithmic Thinking: Questions that required me to think creatively and solve problems using algorithms.
  5. System Design: Questions that tested my ability to design and implement complex systems.
  6. Behavioral Questions: Questions that evaluated my problem-solving approach, communication skills, and teamwork experience.

III. The Change of Mind

As I progressed through the interview process, I experienced a significant shift in my mindset:

  1. June to September: I was in a normal review phase, with no major changes in my approach. I participated in internal pushes and realized the importance of practicing algorithmic thinking.
  2. September: I entered the giant pen interview phase, where I faced more challenging questions and realized the need for handwritten code. I focused on practicing classic algorithms like DFS, BFS, and DP.
  3. October: I entered the internet start-ups phase, where I interviewed with more than a few companies. I realized the importance of being prepared and having a solid understanding of computer science fundamentals.

IV. Summary

In conclusion, the autumn trick time planning was a long and challenging journey. I learned to stick to my goals, continue learning, and be prepared for the unexpected. I hope that my story will inspire others to pursue their dreams and never give up.