CrowdStrike Senior Software Engineer 2 Interview Questions and Answers

Q1. List tuple python memory management Codig question RestAPIs HTTP methods State Management UI
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Q1. What is VTable and VPtr
Ans. 
VTable is a table of function pointers used in object-oriented programming to implement polymorphism. VPtr is a pointer to the VTable.
• VTable is used to store pointers to virtual functions in a class.

• VPtr points to the VTable of an object to enable dynamic dispatch of virtual functions.

• VTable and VPtr are used in C++ to implement polymorphism and dynamic binding.
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Q1. Technical questions that includes coding as well
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Q1. Technical and Managerial discussion
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Q1. Salary discussion
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Q1. Threading: Write and use a mutex?
Ans. 
A mutex is a synchronization primitive that ensures only one thread can access a resource at a time.
• Create a mutex object using the appropriate library or language-specific function.

• Lock the mutex before accessing the shared resource to prevent other threads from accessing it.

• Unlock the mutex after finishing the operation on the shared resource to allow other threads to access it.

• Example: pthread_mutex_t mutex; pthread...read more
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Q2. Find the memory leak in a given set of code.
Ans. 
Identify memory leak in code
• Check for any dynamically allocated memory that is not being freed

• Look for any infinite loops or recursive functions that consume memory

• Use memory profiling tools like Valgrind to detect leaks

• Check for any global variables that are not properly managed
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Logical reasoning And aptitude test

C++, python and Java programming

Q1. Array related questions
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Q2. OOPS Concept like multithreading
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Some advanced linked list questions

Q1. Questions were mostly related to Django Rest Framework and internal working of it, apart from that there were questions related to Django ORM.
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Q2. Given an API request how would to resolve the space issue that is happening with GET
Ans. 
To resolve space issue with GET API request, consider pagination, compression, caching, and optimizing query parameters.
• Implement pagination to limit the number of results returned in each request.

• Use compression techniques like Gzip to reduce the size of the response data.

• Implement caching mechanisms to store frequently accessed data and reduce the number of requests.

• Optimize query parameters to only request necessary
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Q1. Complete resume based questions
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Q2. You must me thorough of what you have mentioned in your resume.
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