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TCS Data Science Intern Interview Questions and Answers for Freshers
TCS Data Science Intern Interview Experiences for Freshers
1 interview found
Anonymous
Selected
I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.
(3 Questions)
- Q1. What are Large Language Models?
- Ans.
Large Language Models are advanced AI models that can generate human-like text based on input data.
Large Language Models use deep learning techniques to understand and generate text.
Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
They are trained on vast amounts of text data to improve their language generation capabilities.
- Q2. Do you know about RAGs?
- Ans.
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
RAGs is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk.
Amber signifies tasks or projects that are on track but may require attention.
Green represents tasks or projects that ar...
- Q3. Which is the best clustering algorithm?
- Ans.
There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.
K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.
DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...
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- Q2. What is your strength?
- Q3. What is aadhar card (because i am in aadhhar process)
- Ans.
Aadhaar card is a unique identification card issued by the Indian government to residents of India.
Aadhaar card is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI).
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- Q4. Check reading and conversation skill
- Q5. Are u agree with night shift
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- Q2. How was your college life and what you have learned?
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- Q4. Tell me something about yourself?
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