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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
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Skills evaluated in this interview
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Interview questions from similar companies
I applied via campus placement at National Institute of Technology (NIT), Rourkela and was interviewed in Jun 2024. There was 1 interview round.
(7 Questions)
- Q1. Introduction about myself and my subjects of interest.
- Ans.
I am a passionate individual with a background in computer science and a keen interest in artificial intelligence and machine learning.
Studied computer science at XYZ University
Completed projects in AI and ML
Attended workshops and seminars on emerging technologies
- Q2. Then I was asked about my first project which was on Risc v.
- Q3. Then i was asked about my second project which was based on asynchronous fifo design.Following this I was asked the difference between synchronous and asynchronous fifo and then the interviewer gave me a F...
- Q4. Then he gave me a Digital electronics numerical to solve.
- Q5. Then he asked me to design a flipflop using mux.
- Q6. Then he asked me about difference between mealey and moore machine and which one is better in which case.
- Q7. At last he asked me 3 puzzles to solve.
Interview Preparation Tips
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
Pretty easy just same basic aptitude and output based questions in C/C++ language
(2 Questions)
- Q1. Leetcode medium questions
- Q2. Project discussions
Chandan Prajwal
I applied via Campus Placement
Easy to medium -45 mins
Easy to medium -45 mins
(1 Question)
- Q1. What are ur skills and explain ur projects?
- Ans.
I have strong skills in programming, data analysis, and project management. I have completed projects in web development, machine learning, and database management.
Programming: Proficient in languages such as Python, Java, and JavaScript.
Data Analysis: Experience with tools like Excel, SQL, and Tableau.
Project Management: Successfully led a team to develop a web application for a local business.
Web Development: Created...
Interview Preparation Tips
Some coding questions were asked
(1 Question)
- Q1. DSA, OS, OOP were asked
(1 Question)
- Q1. Simple and calm round , it was through college
Interview Preparation Tips
Coding round - OS, bit manipulation etc
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 ...
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Skills evaluated in this interview
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
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