Recently, a classmate of Google during World War II rarely encountered 3 rounds of face-to-face, and every round was Coding .
Although the questions were all done, I knelt in the end. After reflection, it should be because the question was too slow , only one question was answered in a few rounds, and the interviewer did not have time to follow up .
The situation of adding noodles is very common this year. There are design and BQ additions. However, it is rare to add noodles to 3 rounds of Coding like Google.
Based on this, it can also be seen that the dog family attaches great importance to algorithms. Now it is far from enough to make algorithmic interview questions. The control of the time to do the questions is as important as other aspects of inspection.
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Interview Frequent Test Algorithm Template Cheat Sheet Interview Algorithm & Data Structure Knowledge Point Cheat Sheet
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Google re-optimizes, Facebook looks at the output
In addition to Google, Facebook adding noodles is also commonplace. If you do not perform well in the interview, FB will not hang you directly. In many cases, it will give you the opportunity to add an interview or down level .
In the Coding session of FB, interviewers generally prepare two questions. At this time, if you just make a problem perfectly, you will basically kneel this round.
On the contrary, you can solve two problems quickly, even if there are some small flaws, you may be able to pass it. So similar to Google, FB also requires you to accurately control the time of the questions .
However, the difference is that Google interviewers tend to follow up candidates to continuously optimize the solution process, while FB interviewers prefer to see candidates output as much content as possible within a limited time .
Given the optimal solution, 90% of opponents can be thrown away
For a simple example, after the FB interviewer gives the question, you know the optimal solution, then there is no need to give a common solution first ;
If you haven't had the best idea after thinking for 5 minutes, then give the existing solution first, so that you have time to write code and test later.
In this regard , Mr. Linghu specially made the " Interview Frequent Test Algorithm Template Cheat Sheet ", which provides the corresponding use conditions, complexity analysis, and application for the dichotomy, double pointer, BFS, DFS, DP and other high-frequency interview algorithms. Questions and code templates.
▲ Part of the content is displayed, see the benefits at the end of the article for the complete template
Compared with the template, the students said that the algorithm questions encountered in the interview can quickly find ideas and write code more smoothly.
Poke me to sign up and listen to the first 4 chapters for free to get more algorithm templates~
Was it rejected after getting the question right? Fast debug can also counterattack
In the context of the epidemic and layoffs, the bar of algorithmic interviews of major companies has invisibly increased a lot. When a classmate met Doordash, both Coding and BQ interviews felt very good, and the questions were all done, but they ended up hanging up.
The Feedback given by HR indicated that other candidates have stronger coding and debugging capabilities . So if you want to get an algorithm interview, knowing how to do the questions is just the first step.
Teacher Linghu clearly stated in the " Nine Chapter Algorithm Class " that the dimensions of algorithm interview investigation include logical thinking ability, code quality and communication ability.
The code quality includes:
- Has the code been written?
- Is the Coding style good?
- Is it bug free
- Can you debug quickly after finding a bug
If you can show good code quality in dozens of minutes of interviews, you have an advantage over other competitors.
To get an algorithm interview, just brush these 100 questions
In addition, in order to make everyone more targeted and efficient, Teacher Linghu updated the " Interview Algorithm and Data Structure Knowledge Points and Frequency of Investigation ", and analyzed the inspection situation, learning difficulty and brushing of the algorithm interview knowledge points. Number of questions required.
▲ There are also data structure knowledge points and frequency of inspections, see the end of the article for the method
In addition to the " Algorithm Interview Selected 100 Questions 2020 Edition " summarized based on this , each question basically involves 3 algorithms or data structures, and 100 questions are equivalent to 300 questions!
These 100 questions have been given out as a free benefit in the first class, students who want to poke me to sign up and receive