20+ Mahle Anand Thermal Systems Interview Questions and Answers

Bounding methods in React are used to limit the scope of a component's updates.

• Bounding methods include shouldComponentUpdate, getSnapshotBeforeUpdate, and componentDidUpdate.

• shouldComponentUpdate allows a component to decide if it should update based on changes in props or state.

• getSnapshotBeforeUpdate allows a component to capture information before a change is made to the DOM.

• componentDidUpdate is called after a component updates and can be used to perform additional actio...read more

Program to perform Binary search on an array of N numbers.

• Sort the array in ascending order

• Set low and high variables to the first and last index of the array respectively

• Calculate the mid index as (low+high)/2

• If the element at mid index is equal to the search element, return mid

• If the element at mid index is less than the search element, set low to mid+1

• If the element at mid index is greater than the search element, set high to mid-1

• Repeat until low is greater than high or e...read more

Regularization techniques are used to prevent overfitting in machine learning models.

• L1 regularization (Lasso)

• L2 regularization (Ridge)

• Elastic Net regularization

• Dropout regularization

• Early stopping

• Data augmentation

• Batch normalization

Virtual DOM is a lightweight copy of the actual DOM used for efficient updates.

• Virtual DOM is a concept where a lightweight copy of the actual DOM is created.

• ReactJS uses it to efficiently update the UI without re-rendering the entire page.

• Virtual DOM compares the previous and current states and updates only the necessary changes.

• This results in faster rendering and better performance.

• Example: When a user types in a search bar, only the search results are updated, not the ent...read more

Creating a machine learning model involves data preparation, model selection, training, evaluation, and deployment.

• Data preparation involves cleaning, transforming, and splitting the data into training and testing sets.

• Model selection involves choosing the appropriate algorithm and hyperparameters for the problem.

• Training the model involves feeding the training data to the algorithm and adjusting the parameters to minimize the error.

• Evaluation involves testing the model on th...read more

Program to perform Merge sort on an array of N numbers.

• Divide the array into two halves recursively

• Sort the two halves using merge sort

• Merge the two sorted halves

• Repeat until the entire array is sorted

• Time complexity: O(nlogn)

Gradient descent is an optimization algorithm used to minimize the cost function of a machine learning model.

• Start with an initial guess for the model parameters

• Calculate the gradient of the cost function with respect to each parameter

• Update the parameters in the opposite direction of the gradient

• Repeat until convergence or a maximum number of iterations is reached

My favorite technology is artificial intelligence.

• AI has the potential to revolutionize various industries

• It can automate repetitive tasks and improve efficiency

• AI can also help in making better decisions by analyzing large amounts of data

• Examples include chatbots, image recognition, and predictive analytics

Poison distribution refers to the spread of toxic substances through various means.

• Poison distribution can occur through intentional or accidental means.

• Examples include the distribution of poison through food or water, or the release of toxic chemicals into the environment.

• Poison distribution can have serious health consequences and may require immediate medical attention.

• Prevention measures such as proper storage and disposal of toxic substances can help prevent poison dist...read more

PCA stands for Principal Component Analysis. It is a statistical technique used for dimensionality reduction.

• PCA is used to identify patterns in data and reduce the number of variables in a dataset.

• It works by transforming the original variables into a new set of variables called principal components.

• These principal components are ordered by the amount of variance they explain in the data.

• PCA is commonly used in fields such as finance, biology, and image processing.

• Example: P...read more

Clustering algorithm groups similar data points together based on their characteristics.

• Clustering is an unsupervised learning technique.

• It can be used for customer segmentation, image segmentation, etc.

• K-means, hierarchical clustering, and DBSCAN are popular clustering algorithms.

• The choice of algorithm depends on the data and the problem at hand.

To find if the 5th bit of a number is set or cleared.

• Use bitwise AND operator with 0b10000 to check if the 5th bit is set or cleared.

• If the result is 0, the 5th bit is cleared. If it is greater than 0, the 5th bit is set.

• Example: num & 0b10000 == 0 means 5th bit is cleared in num.