Jagson International Interview Questions and Answers

Q1. Pump maintenance and check
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Q2. Compressor disassembly and assembly work
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Q3. Turbine checking
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Q4. Cooling Tower gear box
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Q5. Fire pump house and maintain
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Q1. Meaning of accrual
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Q2. Meaning of depreciation and accumulated depreciation
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Q3. Golden rules of accounting
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Q4. Journal entry for prepaid expense
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Q5. Concept of Provisions and entry for the same
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Q6. With holding tax returns filed in Spain
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Q1. How to deal with toxic people among organisation
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Q2. In case of colleague who is not performing well due to some reason, what would/have you done
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Q3. If new tool/software is required to be learnt for improving work then would you learn ? Have you learned any new tool/software in your existing company to improve your performance
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Q4. There are strict timelines to complete work and an important data which needs to be shared by stakeholder is not received on time but work should be finished on time. In such situation what would you do ?
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A medium python program

Q1. Code dictionary
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Q2. Optimise that code written
Ans. 
Optimizing code for better performance and efficiency
• Use built-in functions and libraries for faster execution

• Minimize unnecessary loops and conditions

• Avoid redundant code and optimize data structures

• Implement caching or memoization for repetitive computations
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Q1. Optimise python code
Ans. 
Optimizing Python code involves improving efficiency and performance.
• Use built-in functions and libraries instead of writing custom code

• Avoid unnecessary loops and nested loops for better performance

• Optimize data structures and algorithms for faster execution
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Q2. Numpy code examples and optimisation
Ans. 
Numpy is a powerful library for numerical operations in Python, with efficient array operations and mathematical functions.
• Use vectorized operations instead of loops for better performance.

• Avoid unnecessary copying of arrays to save memory.

• Utilize broadcasting to perform operations on arrays of different shapes.

• Use numpy functions like np.sum(), np.mean(), np.max(), etc. for efficient calculations.

• Optimize code by prof
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Q1. Can you tell me about yourself?
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Q1. Can you describe your project management experience?
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Q1. Can you describe your work experience?
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Q1. Asking about your self
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Q2. Briefly asking about your job roles
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Q1. Self introduction
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Q2. Testing the Basic knowledge on accounts
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Q1. Asking questions related to your current Company job roles & asking Subject briefly
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