Baker Hughes Interview Questions, Process, and Tips

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. Java questions , selenium
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Q2. Coding questions
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1) First Resume shortlisting.

2) Digital Interview on HireVue, 5 questions were there which we have to answer.

3) Technical Test, MCQ based test revolving around basic coding questions.

4) My topic was scope of EV in India. This was conducted on MS teams, there 10 people in my group and 2 panelist were to judge us. We had discussion around 10-15 min then panelist asked only one person to conclude then he also asked me if want to add something to conclusion.

Q1. He mainly asked questions regarding my project ? What was my role ? What did you do to make it secure ? something like this.
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Q2. Some general scenarios based question .
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