Netskope Principal Engineer Interview Questions and Answers

Easy problem on java

Q1. Technical 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. Experience discussions
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Pair programming with engineer

Q1. Kubernetes practical applications
Ans. 
Kubernetes is used for container orchestration, scaling, and management in cloud-native applications.
• Automating deployment, scaling, and management of containerized applications

• Ensuring high availability and fault tolerance

• Facilitating easy scaling of applications based on demand

• Managing updates and rollbacks seamlessly

• Supporting multi-cloud deployments

• Example: Running microservices architecture on Kubernetes for a sca
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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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Q1. Related to network security
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Q1. Related to target work
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Q1. Related to presenting fake JDs
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