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Datatech Computers Intern Interview Questions and Answers
Datatech Computers Intern Interview Experiences
1 interview found
Anonymous
Interview Questionnaire
2 Questions
- Q1. What is linked list
- Ans.
A linked list is a linear data structure where each element is a separate object with a pointer to the next element.
Linked list is a collection of nodes where each node contains data and a reference to the next node.
It allows dynamic memory allocation and efficient insertion and deletion operations.
Examples include singly linked list, doubly linked list, and circular linked list.
- Q2. What is double ended queue
- Ans.
A double ended queue is a data structure that allows insertion and deletion of elements from both ends.
Also known as deque
Can be implemented using arrays or linked lists
Examples include Java's ArrayDeque and C++'s deque container
Useful in algorithms that require insertion/deletion at both ends
Interview Preparation Tips
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
I applied via Campus Placement and was interviewed in Jan 2024. There were 3 interview rounds.
60 min 60 qs and negative marking
(1 Question)
- Q1. Interview with dsa and oops questions
(1 Question)
- Q1. Normal questions
Pretty easy just same basic aptitude and output based questions in C/C++ language
(2 Questions)
- Q1. Leetcode medium questions
- Q2. Project discussions
(1 Question)
- Q1. C and Cpp all concepts
Selected
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
(3 Questions)
- 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.
- 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...
- 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 ...
Interview Preparation Tips
Skills evaluated in this interview
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
Interview Preparation Tips
- Python
- SQL
Shivani Mukunde
(2 Questions)
- Q1. Python program questions
- Q2. OOPS based programming questions
Selected
(1 Question)
- Q1. DSA - Linked List, Array and Strings
(1 Question)
- Q1. Why should we hire you
Chandan Prajwal
I applied via Campus Placement
Easy to medium -45 mins
Easy to medium -45 mins
Interview Questionnaire
1 Question
- Q1. Basic question of oops
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