NCR Atleos Interview Questions, Process, and Tips

It was a on campus online test on hacker earth. Questions were medium level

Q1. What is Artificial Intelligence
Ans. 
Artificial Intelligence is the simulation of human intelligence processes by machines, especially computer systems.
• AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

• Examples of AI include virtual assistants like Siri and Alexa, self-driving cars, recommendation systems like Netflix's algorithm, and fa...read more
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Q2. What is Machine learning
Ans. 
Machine learning is a branch of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
• Machine learning is a subset of artificial intelligence that focuses on developing algorithms and models that allow computers to learn from and make predictions or decisions based on data.

• It involves training a model on a dataset to recognize patterns and make predictions...read more
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Q3. Tell be about Supervised and Unsupervised Machine learning
Ans. 
Supervised ML uses labeled data to train models, while Unsupervised ML finds patterns in unlabeled data.
• Supervised ML requires labeled data for training

• Unsupervised ML finds patterns in unlabeled data

• Supervised ML includes tasks like classification and regression

• Unsupervised ML includes tasks like clustering and dimensionality reduction

• Example of Supervised ML: predicting house prices based on features like location an...read more
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Q4. Tell me about Deep Learning
Ans. 
Deep learning is a subset of machine learning that uses neural networks to model and solve complex problems.
• Deep learning involves training neural networks with multiple layers to learn representations of data.

• It is used in various applications such as image and speech recognition, natural language processing, and autonomous driving.

• Popular deep learning frameworks include TensorFlow, PyTorch, and Keras.
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Q5. Difference Between LSTM and RNN
Ans. 
LSTM is a type of RNN with additional memory cells to better capture long-term dependencies.
• LSTM has a more complex architecture with memory cells, input, forget, and output gates.

• RNN suffers from vanishing gradient problem, while LSTM can handle long sequences better.

• LSTM is better suited for tasks requiring long-term memory retention, such as speech recognition or language translation.
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Q6. Attention in Transformers Explain
Ans. 
Attention mechanism in Transformers allows the model to focus on different parts of the input sequence.
• Attention mechanism calculates the importance of each input token in relation to the current token being processed.

• It helps the model to learn dependencies between words in a sequence.

• Self-attention mechanism in Transformers allows the model to consider all input tokens simultaneously.

• Attention weights are calculated ...read more
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Q1. What is the flow of data in RAG
Ans. 
RAG (RAGS) stands for Read, Attend, Generate. The flow of data in RAG involves reading input, attending to relevant information, and generating output.
• Data is first read as input

• The model attends to relevant parts of the input

• Finally, the model generates an output based on the attended information
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Q1. What are your hobbies
Ans. 
My hobbies include playing the guitar, hiking, and reading science fiction novels.
• Playing the guitar: I enjoy learning new songs and practicing different techniques.

• Hiking: I love exploring nature trails and challenging myself with long hikes.

• Reading science fiction novels: I find it fascinating to immerse myself in futuristic worlds and imaginative storytelling.
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Q1. Just normal intro and over all experience.
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Q1. Laptop trouble shooting
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Q2. Network trouble shooting
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Q3. Office 365 knowledge
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Q1. How we can implement self join
Ans. 
Self join is used to join a table with itself to compare rows within the same table.
• Use the same table name for both instances in the query

• Specify the columns to be compared in the ON clause

• Alias the tables to differentiate between them
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Q2. Find largest number from array
Ans. 
Find the largest number from an array of strings.
• Convert the strings to numbers using parseInt()

• Use Math.max() to find the largest number

• Handle edge cases like empty array or non-numeric strings

• Example: ['10', '5', '20'] should return 20
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