Clarivate Interview Questions, Process, and Tips

Q1. What is Your project and what is your contribution
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Q2. Explain Manufacturing process
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Manufacturing process involves transforming raw materials into finished products through a series of steps.
• Manufacturing process starts with the procurement of raw materials.

• Raw materials are then processed or transformed into intermediate products.

• Intermediate products are further processed and assembled to create the final product.

• Quality control measures are implemented throughout the process to ensure product stand...read more
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Q3. Define Casting Process
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Casting process is a manufacturing technique used to shape molten metal into a desired form by pouring it into a mold.
• Casting process involves melting a metal and pouring it into a mold.

• The molten metal solidifies inside the mold and takes its shape.

• Different types of casting processes include sand casting, investment casting, and die casting.

• Casting is commonly used in the manufacturing of automotive parts, jewelry, a
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Q4. What is Knurling
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Knurling is a process of creating a pattern of ridges or grooves on a surface for improved grip or aesthetics.
• Knurling is commonly used on tools, handles, and knobs to provide a better grip.

• It involves pressing a pattern of ridges or grooves onto a surface using a knurling tool.

• Knurling can be done on various materials such as metal, plastic, or wood.

• The pattern created by knurling can be diamond-shaped, straight, or d...read more
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Q1. What are strengths and weakness
Ans. 
My strengths include strong analytical skills and attention to detail. My weaknesses include public speaking and time management.
• Strengths: Strong analytical skills

• Strengths: Attention to detail

• Weaknesses: Public speaking

• Weaknesses: Time management
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Q1. Only technical questions were asked.
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Q2. All the quations were based on detailed knowledge on patents
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Q1. Asked to explain previous projects. How that impacts the business
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Q2. How random forest is bettercthan decision tree
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Random forest is better than decision tree due to its ability to reduce overfitting and handle large datasets.
• Random forest reduces overfitting by averaging multiple decision trees

• Random forest can handle large datasets with high dimensionality

• Random forest is more robust to noise and outliers compared to a single decision tree
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Q3. Assumptions of linear regression
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Assumptions of linear regression include linearity, independence, homoscedasticity, and normality.
• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.
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Q1. Why do you want to join Clarivate
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Q2. Why are you leaving previous organization
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Hackthon test

Q1. Javascript and angular technology questions
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Q1. Javascript and angular questions
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Q1. Why are you looking for a change?
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Q2. What are your salary expectations?
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Q3. Share details of your previous job.
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Q4. Tell me about yourself.
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