John Crane Sealing Systems India Interview Questions and Answers

Q1. Code and algorithm
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Q2. Project case description pros and cond
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Project case description pros and cons
• Pros: Provides detailed information about the project, helps in understanding the scope and objectives, can serve as a reference for stakeholders.

• Cons: May be time-consuming to create, can become outdated quickly, may not capture all aspects of the project.
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Q3. Salary and future prospective. They have no infrastructure to have for IT
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Q1. Architecture of project
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The architecture of the project involves a combination of data processing, machine learning models, and scalable infrastructure.
• Utilizes cloud-based infrastructure for scalability and flexibility

• Incorporates data pipelines for efficient data processing

• Employs machine learning models for predictive analytics

• Uses microservices architecture for modularity and ease of maintenance
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Q2. Hr and managerial round questions
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Q1. What are the seals ?
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Seals are mechanical devices used to prevent leakage of fluids or gases in various applications, ensuring system integrity.
• Types of seals include static seals (e.g., O-rings) and dynamic seals (e.g., rotary seals).

• Seals are crucial in pumps, valves, and compressors to maintain pressure and prevent contamination.

• Materials used for seals can vary, including rubber, PTFE, and metal, depending on the application and enviro...read more
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Q2. Why we are using seals to rotary equipment?
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Seals in rotary equipment prevent leaks, maintain pressure, and protect components from contamination and wear.
• Prevent leakage of fluids or gases, ensuring operational efficiency.

• Maintain pressure within the system, crucial for processes like distillation.

• Protect internal components from contamination, which can lead to equipment failure.

• Reduce wear and tear on moving parts, extending the lifespan of the equipment.

• Exam...read more
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Q1. Project discussion
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Q2. Architecture and key technology explanations
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Explanation of architecture and key technologies used in data science projects.
• Explain the overall architecture of data science projects, including data collection, preprocessing, modeling, and deployment.

• Discuss key technologies such as Python, R, SQL, machine learning libraries (e.g. scikit-learn, TensorFlow), and data visualization tools (e.g. Tableau, Power BI).

• Highlight the importance of cloud computing platforms ...read more
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Q1. Negotiate with hr
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Q2. They will ask less notice period
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Technical Test and also aptitude questions

Q1. Design and Mechnical Drawing
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Q2. Geometric Dimensioning and Tolerancing
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Q3. Questions Based on Projects mentioned in Resume
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Q1. Family Background and Personal
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Q2. Future Plans and What you know about the company
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