Cactus Communications Medical Editor Interview Questions and Answers

Q1. Casting related basic questions
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Q2. Exhaust system related deep questions
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Q3. GD & T basic questions
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Q1. Sheet metal /casting design considerations
Ans. 
Considerations for sheet metal and casting design
• Thickness of the material affects strength and cost

• Design for manufacturability to minimize waste and cost

• Consider material properties like ductility and heat resistance

• Include features for easy assembly and maintenance

• Account for shrinkage in casting design
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Q2. Practically showing the cast part and ask to decide parting line, design methodology and details.
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3D modelling cad test - one part was given and I had to make parametric part in Creo.

Q1. Describe MMx process
Ans. 
MMx process is a strategic marketing process that focuses on maximizing market share and profitability.
• MMx process involves analyzing market trends and competition

• It includes identifying target customers and developing marketing strategies to reach them

• MMx process also involves monitoring and adjusting strategies based on performance metrics
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Q1. Talk about things that motivate you
Ans. 
I am motivated by challenging projects, opportunities for growth, and making a positive impact.
• Challenging projects push me to learn and grow

• Opportunities for growth keep me engaged and excited

• Making a positive impact on others or the company drives me to do my best

• Recognition and appreciation for my work also motivates me
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Q1. Pharma industry questions
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Q1. How model maintainance was done, mlflow
Ans. 
Model maintenance is done using MLflow, a platform for managing the end-to-end machine learning lifecycle.
• MLflow provides tools for tracking experiments, packaging code, and deploying models.

• It allows for easy comparison of different model versions and tracking of performance metrics.

• MLflow can be integrated with popular machine learning libraries like scikit-learn, TensorFlow, and PyTorch.

• Model maintenance involves re...read more
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Q2. What is precision recalll
Ans. 
Precision recall is a measure used in classification tasks to evaluate the quality of the model's predictions.
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

• Precision and recall are often used together to evaluate the performance of a classification m...read more
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Behavioural question, business development experience

Discussion on resume? Why did you use deep learning model?

Q1. Test planning and project management questions
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Basic gocube test

Q1. Company work expectation and past experience questions
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