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Seagate Interview Questions and Answers
Seagate Interview Experiences
18 interviews found
Anonymous
I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
(4 Questions)
- Q1. What is polymorphism
- Q2. Find missing number from nth number array.
- Q3. Explain inheritance and it types
- Q4. Find 2nd max elements from aaray
Skills evaluated in this interview
Strivers list Leetcode easy and medium questions
(2 Questions)
- Q1. Storage related systems question
- Q2. Cloud related system design question
(1 Question)
- Q1. Why would you like to join Seagate
(1 Question)
- Q1. Career snapshot related questions
(2 Questions)
- Q1. Tell me about the photolithography process
- Ans.
Photolithography is a process used in microfabrication to transfer patterns onto a substrate using light-sensitive materials.
Photolithography involves coating a substrate with a photoresist material
A mask containing the desired pattern is placed over the photoresist-coated substrate
The substrate is exposed to light, which passes through the mask and selectively exposes the photoresist
After exposure, the photoresist is ...
- Q2. Tell me an experience when you made a mistake
- Ans.
I once made a mistake in a lithography process by using the wrong exposure settings.
Accidentally set the exposure time too long, resulting in overexposed patterns
Realized the mistake during post-exposure inspection
Learned to double-check settings before starting a process
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
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
(1 Question)
- Q1. Core MCQs on Embedded systems and VLSI
Interview Preparation Tips
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
I applied via Campus Placement and was interviewed in Oct 2023. There was 1 interview round.
(2 Questions)
- Q1. Java basic knowledge and deep knowledge
- Q2. Java, theory, oops, dbms
Interview Preparation Tips
- OOPS
- Fuctiion overloading
(2 Questions)
- Q1. 1. Linklist intersection
- Q2. About older project, OS concept, semaphore, mutex, spinlock
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