Tracxn Interview Questions and Answers

Centre of gravity is the point where the entire weight of an object can be considered to act upon. Formula for an asymmetrical I section is (A1*d1 + A2*d2)/(A1+A2)

• Centre of gravity is important in designing structures and machines to ensure stability and balance

• It is the point where the object will balance perfectly in any orientation

• For an asymmetrical I section, the formula is (A1*d1 + A2*d2)/(A1+A2) where A1 and A2 are the areas of the two flanges and d1 and d2 are the dis...read more

Sections in mechanical engineering design refer to the shapes of cross-sections of structural members.

• Sections can be classified as open or closed.

• Open sections have an opening or a void in the cross-section, such as a C-channel or an I-beam.

• Closed sections have a continuous cross-section, such as a rectangular or circular tube.

• Sections can also be classified based on their shape, such as square, rectangular, circular, or elliptical.

• The choice of section depends on the struct...read more

Draw sfd and bmd for a simple cantilever beam

• SFD shows the variation of shear force along the length of the beam

• BMD shows the variation of bending moment along the length of the beam

• Shear force is maximum at the fixed end and zero at the free end

• Bending moment is maximum at the free end and zero at the fixed end

Agile is a flexible approach to project management, while processes provide structure and consistency.

• Agile promotes iterative development and collaboration

• Processes help ensure consistency and quality in deliverables

• Combining agile principles with well-defined processes can lead to successful project outcomes

Multicollinearity is a phenomenon in which two or more predictor variables in a multiple regression model are highly correlated.

• Multicollinearity can lead to issues in the interpretation of regression coefficients, as it becomes difficult to determine the individual impact of each predictor variable on the outcome.

• It can inflate the standard errors of the coefficients, making them unstable and unreliable.

• Multicollinearity can also make it challenging to identify the most impo...read more

p value is a statistical measure that helps determine the significance of results in hypothesis testing.

• p value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

• A p value of less than 0.05 is typically considered statistically significant.

• It is used to determine whether to reject the null hypothesis in hypothesis testing.

• The smaller the p value, the stronger the evidence against the null hypothesis.