Persistent Systems Interview Questions, Process, and Tips

Q1. Current role and related questions.
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Q2. Design process and problem statement related questions.
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Q1. Current role and experience
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Q2. Problem statements and some technical question related to your work.
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Q1. Core technical questions
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Q2. Programming questions
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Q1. Technical questions and managerial questions
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Q2. Programming, behaviour, senario based questions
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Q1. Salary discussion
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Q2. Normal Questionariers
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Q1. Explain AWS services worked
Ans. 
AWS offers a wide range of services for cloud computing, storage, databases, machine learning, and more.
• AWS EC2 - virtual servers in the cloud

• AWS S3 - scalable object storage

• AWS RDS - managed relational databases

• AWS Lambda - serverless computing

• AWS SageMaker - machine learning platform

• AWS DynamoDB - NoSQL database service
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Q2. Explain how security can be implemented for .net core
Ans. 
Security in .NET Core can be implemented through various mechanisms such as authentication, authorization, data protection, and secure coding practices.
• Use authentication mechanisms like JWT tokens or OAuth for user identity verification

• Implement authorization policies to control access to resources based on roles or claims

• Utilize data protection APIs to encrypt sensitive data at rest and in transit

• Follow secure coding...read more
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Q1. What is LLMOps? Explain in details
Ans. 
LLMOps stands for Low Latency Model Operations, a process of deploying and managing machine learning models with minimal delay.
• LLMOps focuses on reducing the latency in deploying and managing machine learning models.

• It involves optimizing the infrastructure and processes to ensure quick and efficient model operations.

• Examples include real-time prediction systems, automated model monitoring, and rapid model updates.

• LLMO...read more
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Q2. How to perform Tunnig in LLMs?
Ans. 
Tuning in LLMs involves adjusting hyperparameters to optimize model performance.
• Perform grid search or random search to find the best hyperparameters

• Use cross-validation to evaluate different hyperparameter combinations

• Consider using automated hyperparameter tuning tools like Optuna or Hyperopt
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On python , SQL , Using pandas