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Opportunity interview experience summary
2022-07-07 16:26:00 【Le_ Sam】
Looking for a job recently , Face 10 about , Record the interview process here , Video interview 、 There are all on-site interviews , Mainly to assess whether the technology is solid , The assessment content includes written examination 、 Face to face, etc
C# aspect : The difference between abstract classes and interfaces , Value type and reference type 【 Association structure and class 、 Heap and stack 、 Pack and unpack 】,OOP Features and the corresponding understanding of each feature , Common data structure 【 Array 、Array(ArrayList、List)、 Linked list ( queue 、 Stack )、Hash(HashSet、HashTabel)、 Dictionaries 】 The characteristics and differences of , Understanding of delegation ,GC Principle and optimization of
Lua aspect : lua3 Loads api The difference between 【dofile、loadfile、require】, Common meta methods 【index、newIndex、...】 Principles and application scenarios ,lua String splicing optimization ,lua Implementation queue 、 Stack , Some written questions
Unity aspect : Heat is more relevant 【AB Packet data verification 、 Loading and unloading 、 Packaging process 】, Network related 【TCP And UDP Difference and difference 、 Why three handshakes and four waves 、 Frame synchronization packet loss processing 、 The meaning and applicable scenario of heartbeat package 、 How to deal with sticky bags 】, The workflow and application scenarios of frame synchronization and state synchronization , Process thread relationship , The relationship between threads and coroutines , Optimization related 【DC、 Memory 、UGUI、 Render pipeline 、 The principle of atlas packaging and compression format 、 Static and dynamic approval 】,Lightmapping Bake , The meaning of vector dot multiplication and cross multiplication ,canvas Three modes of canvas are applicable to the scene , How to deal with particles and UI Hierarchical mask , Animation related 【Animation and Animator】、 Events and delegation
Discuss common design patterns and application scenarios , The single interest model 、 Observer mode
Discuss what algorithm , I gave an example myself A*、 Random map generation and so on
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