Brane Enterprises Interview Questions, Process, and Tips

Q1. Write Java code to find square root without Math.sqrt()
Ans. 
Use Newton's method to find square root without Math.sqrt() in Java.
• Initialize a variable to store the guess value of square root

• Iterate until the difference between the guess and actual square root is within a desired threshold

• Update the guess value using the formula: guess = (guess + number/guess) / 2
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Q2. Write Java code to add digits of a number until the sum is a single digit
Ans. 
Java code to add digits of a number until the sum is a single digit
• Create a function that takes an integer as input

• Use a while loop to keep adding the digits until the sum is a single digit

• Convert the number to a string to easily access individual digits
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Q3. Write a Java code to print a particular pattern
Ans. 
Java code to print a particular pattern using loops
• Use nested loops to iterate through rows and columns

• Print specific characters based on the row and column index

• Example: Printing a pyramid pattern
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3 - 4 DSA questions from GeeksforGeeks

Q1. Describe OOPS concepts in java
Ans. 
OOPS concepts in Java are the principles of Object-Oriented Programming such as Inheritance, Encapsulation, Polymorphism, and Abstraction.
• Inheritance: Allows a class to inherit properties and behavior from another class.

• Encapsulation: Bundling data and methods that operate on the data into a single unit.

• Polymorphism: Ability of a method to do different things based on the object it is acting upon.

• Abstraction: Hiding th...read more
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Q2. DSA questions mostly easy to moderate
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Q1. Manual Testing related questions
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Q2. Process and technical questions
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It contain both Aptitude and Coding about base models and Deep learning too

Q1. What different models technique ?
Ans. 
Different models techniques include linear regression, decision trees, random forests, support vector machines, and neural networks.
• Linear regression is used for predicting continuous values.

• Decision trees are used for classification and regression tasks.

• Random forests are an ensemble method based on decision trees.

• Support vector machines are used for classification tasks.

• Neural networks are used for complex pattern re
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Q2. What are performance metric where to use what?
Ans. 
Different performance metrics are used for different types of machine learning models to evaluate their effectiveness.
• For classification models, metrics like accuracy, precision, recall, F1 score, and ROC-AUC are commonly used.

• For regression models, metrics like mean squared error (MSE), mean absolute error (MAE), and R-squared are commonly used.

• For clustering models, metrics like silhouette score and Davies-Bouldin in...read more
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Q1. Explain about Project
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Q2. What are problems faced in that project?
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Q1. Don't want to write anything.
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Q1. Basic behavioral questions
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Q1. About projects and scenario based questions
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