Baker Hughes Interview Questions, Process, and Tips

Q1. What are the ASME 16.34 standards?
Ans. 
ASME 16.34 standards are guidelines set by the American Society of Mechanical Engineers for pressure and temperature ratings of valves.
• ASME 16.34 standards specify pressure-temperature ratings, materials, design, testing, and inspection requirements for valves.

• These standards ensure the safety and reliability of valves used in various industries.

• For example, ASME B16.34 covers pressure-temperature ratings for steel fla...read more
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Q2. Which ASME standard is used for determining wall thickness?
Ans. 
ASME B31.3 is used for determining wall thickness in mechanical components.
• ASME B31.3 is the standard for process piping

• It provides guidelines for determining minimum wall thickness based on factors like material, pressure, temperature, and corrosion allowances

• Calculations involve formulas and tables provided in the standard

• Example: ASME B31.3 specifies the wall thickness requirements for piping systems in chemical pla
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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. 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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