CSX Corporation Interview Questions and Answers

Projects done yet, Coding Algo

Q1. DSA ALGO IN C++
Ans. 
Data Structures and Algorithms in C++
• Learn basic data structures like arrays, linked lists, stacks, queues, trees, and graphs

• Understand sorting and searching algorithms such as bubble sort, quick sort, binary search, etc.

• Practice solving coding problems on platforms like LeetCode or HackerRank
Answered by AI
Add your answer

Q1. What is polymorphism
Ans. 
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
• Polymorphism allows objects of different classes to be treated as objects of a common superclass.

• It enables a single interface to be used for different data types or classes.

• Examples include method overloading and method overriding in object-oriented programming.
Answered by AI
Add your answer
Q2. Find missing number from nth number array.
Ans. 
Find missing number from nth number array.
• Iterate through the array and calculate the sum of all numbers

• Calculate the sum of numbers from 1 to n using the formula n*(n+1)/2

• Subtract the sum of array from the sum of numbers from 1 to n to find the missing number
Answered by AI
Add your answer
Q3. Explain inheritance and it types
Ans. 
Inheritance is a concept in object-oriented programming where a class inherits properties and behaviors from another class.
• Inheritance allows a class to reuse code from another class.

• Types of inheritance include single inheritance, where a class inherits from only one parent class, and multiple inheritance, where a class inherits from multiple parent classes.

• Example: Class B inherits from Class A, so Class B can access
Answered by AI
Add your answer
Q4. Find 2nd max elements from aaray
Ans. 
Find 2nd max element from array of strings
• Sort the array in descending order

• Skip the first element (max element)

• Return the second element
Answered by AI
Add your answer

Q1. Python program questions
Add your answer
Q2. OOPS based programming questions
Add your answer

Q1. Why only taco bell for your career?
Add your answer

Q1. How you can manage inventory ? Process and types of inventory
Ans. 
Inventory management involves overseeing the flow of goods from manufacturers to warehouses to retail outlets.
• Implementing a reliable inventory management system to track stock levels and reorder when necessary

• Categorizing inventory into types such as raw materials, work-in-progress, and finished goods

• Utilizing forecasting techniques to predict demand and prevent overstocking or stockouts

• Regularly conducting physical i...read more
Answered by AI
Add your answer

Q1. C and Cpp all concepts
Add your answer

Q1. DSA - Linked List, Array and Strings
Add your answer

Q1. Why should we hire you
Add your answer

Q1. What is hyperparameter tuning?
Ans. 
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
• Hyperparameters are parameters that are set before the learning process begins.

• Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.

• Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Answered by AI
Add your answer
Q2. How do we train neural networks?
Ans. 
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
• Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.

• Training data is fed into the neural network, and the network's output is compared to the des...read more
Answered by AI
Add your answer
Q3. What is overfitting?
Ans. 
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It can be identified when a model performs well on training data but poorly on unseen data.

• Techniques to prevent overfitting include cross-validation, regularization, and early ...read more
Answered by AI
Add your answer