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10+ Reliance Industries Interview Questions and Answers

Updated 18 Dec 2024

Q1. difference between for each and map method

Ans.

forEach and map are array methods in JavaScript. forEach executes a provided function once for each array element. Map creates a new array with the results of calling a provided function on every element in the calling array.

  • forEach does not return anything, it just iterates over the array and executes the provided function for each element.

  • Map returns a new array with the results of calling a provided function on every element in the calling array.

  • Map is useful when you want...read more

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Q2. what is the map method

Ans.

The map method creates a new array with the results of calling a provided function on every element in the original array.

  • The map method does not modify the original array.

  • The provided function takes three arguments: currentValue, index, and array.

  • The map method returns a new array with the same length as the original array.

  • Example: const numbers = [1, 2, 3]; const doubledNumbers = numbers.map(num => num * 2); // [2, 4, 6]

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Q3. What is Principle Component Analysis?

Ans.

PCA is a dimensionality reduction technique used to transform high-dimensional data into a lower-dimensional space while preserving the most important information.

  • PCA helps in identifying patterns in data by reducing the number of variables

  • It finds the directions (principal components) along which the variance of the data is maximized

  • PCA is commonly used in image processing, genetics, and finance

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Q4. Describe any Machine learning algorithm in detail

Ans.

Random Forest is an ensemble learning algorithm that builds multiple decision trees and combines their predictions.

  • Random Forest is a supervised learning algorithm used for classification and regression tasks.

  • It creates a forest of decision trees during training, where each tree is built using a random subset of features and data points.

  • The final prediction is made by aggregating the predictions of all the individual trees, usually through a majority voting mechanism.

  • Random F...read more

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Q5. what is the use state in react

Ans.

useState is a hook in React that allows functional components to have state.

  • useState is used to manage state in functional components

  • It returns an array with two elements: the current state value and a function to update it

  • Example: const [count, setCount] = useState(0);

  • The initial state value is passed as an argument to useState

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Q6. Different types of oops, explain oops

Ans.

Object-oriented programming (OOP) is a programming paradigm that uses objects to represent and manipulate data.

  • OOP is based on the concept of classes and objects.

  • Encapsulation, inheritance, and polymorphism are key principles of OOP.

  • Examples of OOP languages include Java, C++, and Python.

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Q7. what is component in react

Ans.

A reusable piece of UI that can be composed with other components to form a complete UI.

  • Components are the building blocks of React applications.

  • They can be either functional or class-based.

  • They can have state, props, and lifecycle methods.

  • They can be reused and composed to create complex UIs.

  • Examples include buttons, forms, and navigation menus.

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Q8. What is Central limit theorem.

Ans.

Central limit theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

  • Central limit theorem is a fundamental concept in statistics.

  • It states that the sampling distribution of the sample mean will be approximately normally distributed, regardless of the shape of the population distribution.

  • It is important for making inferences about population parameters based on sample data.

  • The theorem is used in hypothesi...read more

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Q9. What is pruning?

Ans.

Pruning is a technique used in machine learning to reduce the size of decision trees by removing unnecessary branches.

  • Pruning helps prevent overfitting by simplifying the model

  • There are two types of pruning: pre-pruning and post-pruning

  • Pre-pruning involves setting a limit on the depth of the tree or the number of leaf nodes

  • Post-pruning involves removing branches that do not improve the overall accuracy of the tree

  • Example: Removing a branch that only contains data points from ...read more

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Q10. What is normalization?

Ans.

Normalization is the process of scaling and standardizing data to have a consistent range.

  • Normalization helps in comparing different features on the same scale.

  • Common normalization techniques include Min-Max scaling and Z-score normalization.

  • Example: Scaling age and income variables to a range of 0 to 1.

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Q11. What is correlation?

Ans.

Correlation is a statistical measure that describes the relationship between two variables.

  • Correlation ranges from -1 to 1, where 1 indicates a perfect positive relationship, -1 indicates a perfect negative relationship, and 0 indicates no relationship.

  • Correlation does not imply causation, meaning just because two variables are correlated, it does not mean that one causes the other.

  • Examples of correlation include the relationship between temperature and ice cream sales, or th...read more

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Q12. Create counter app

Ans.

A counter app that allows users to increment and decrement a number.

  • Create a variable to store the initial number

  • Create two buttons, one for incrementing and one for decrementing the number

  • Add event listeners to the buttons to update the number when clicked

  • Display the number on the screen

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