PurpleTalk Interview Questions, Process, and Tips

Swapping of 2 number without using 3rd number

Q1. SOLID Principles
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Q2. DEFER method
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The DEFER method is used in Swift to delay the execution of a block of code until the current scope is exited.
• DEFER is used to ensure cleanup or finalization code is executed, regardless of how the current scope is exited.

• It is commonly used to release resources, close files, or perform other cleanup tasks.

• DEFER blocks are executed in reverse order of their declaration.
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Q3. If I need to fetch 1000 images by making 1000 API calls simultaneously and display them in a grid on the frontend, how should I handle the process efficiently? If an API call fails (e.g., the 2nd image is ...read more
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To efficiently fetch and display 1000 images in a grid with error handling, consider batching API calls, implementing pagination, and using placeholders for missing images.
• Batch API calls in smaller groups to prevent overwhelming the server and network.

• Implement pagination to fetch images in chunks, reducing the load on the server and improving performance.

• Use placeholders for missing images to maintain the grid layout...read more
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Q4. How to provide security provisions for the application, API and device side.
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Security provisions can be provided through encryption, authentication, authorization, and secure coding practices.
• Implement end-to-end encryption to protect data in transit and at rest.

• Use secure authentication methods like OAuth, JWT, or biometrics.

• Implement role-based access control for authorization.

• Regularly update and patch the application to fix security vulnerabilities.

• Follow secure coding practices to prevent ...read more
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Q1. Self details, Technical experience and Salary discussion
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Q1. What is the architecture of Transformer-based Large Language Models (LLMs)?
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Transformer-based LLMs use self-attention and feedforward networks for processing sequential data efficiently.
• Architecture consists of an encoder-decoder structure, though many LLMs use only the decoder.

• Self-attention mechanism allows the model to weigh the importance of different words in a sentence.

• Positional encoding is used to retain the order of words since transformers do not have a built-in sense of sequence.

• Exa...read more
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Q2. What is the architecture of computer vision?
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Computer vision architecture involves processing images through layers to extract features and make predictions.
• Input Layer: Receives raw image data, e.g., RGB values from a photo.

• Convolutional Layers: Apply filters to detect features like edges or textures, e.g., using 3x3 kernels.

• Pooling Layers: Reduce dimensionality while retaining important features, e.g., max pooling.

• Fully Connected Layers: Combine features to mak...read more
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Explain the various approaches to the Rag system.

Experience with Torch parallelism.

Q1. What projects have you completed to date?
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I have completed various AI projects, including predictive modeling, natural language processing, and computer vision applications.
• Developed a predictive model for customer churn using machine learning algorithms, achieving 85% accuracy.

• Created a chatbot using NLP techniques to enhance customer support, reducing response time by 40%.

• Implemented a computer vision system for automated quality inspection in manufacturing,...read more
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Q2. What are flow pipelines?
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Flow pipelines are structured sequences of data processing steps that automate workflows in AI and data engineering.
• They consist of stages where data is ingested, processed, and outputted.

• Example: A data pipeline might extract data from a database, transform it, and load it into a data warehouse (ETL process).

• Flow pipelines can be used for machine learning model training, where data flows from preprocessing to model ev...read more
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Q1. Multi-Model Agentic systems
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Q2. What frameworks are you familiar with?
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I am familiar with several AI frameworks including TensorFlow, PyTorch, and Scikit-learn, each serving different purposes.
• TensorFlow: A powerful library for deep learning, widely used for building neural networks.

• PyTorch: Known for its dynamic computation graph, making it popular for research and prototyping.

• Scikit-learn: A versatile library for traditional machine learning algorithms and data preprocessing.

• Keras: A hi...read more
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Basic Aptitude and Computer Questions

Sudoku puzzle in Python

Q1. HR questions and Technical Basic questions on python
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Q2. Django Meta Class, Python list vs tuple , set vs frozen set
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