Coforge Architect Interview Questions and Answers for Experienced

Best design practices in architecture involve considering functionality, aesthetics, sustainability, and user experience.

• Consider the functionality of the space and how it will be used by occupants

• Focus on creating aesthetically pleasing designs that enhance the environment

• Incorporate sustainable materials and practices to reduce environmental impact

• Prioritize user experience and ensure the design meets the needs of th

Our overall architecture and design approach focuses on creating innovative and sustainable solutions that meet the needs of our clients.

• We prioritize functionality and user experience in our designs

• We incorporate sustainable and environmentally friendly practices

• We strive to create unique and visually appealing structures that stand out

• We collaborate closely with clients to understand their specific requirements and p

I have extensive experience working on a variety of projects in residential, commercial, and institutional sectors.

• Managed the design and construction of a luxury residential building in downtown area

• Led a team in renovating a historic commercial space into a modern office building

• Collaborated with engineers and contractors on a new healthcare facility design

Balance in the banking industry is calculated by subtracting liabilities from assets.

• Calculate total assets of the bank

• Calculate total liabilities of the bank

• Subtract total liabilities from total assets to get the balance

• Balance = Total Assets - Total Liabilities

Various frameworks for developing Generative AI applications include TensorFlow, PyTorch, and Hugging Face Transformers.

• TensorFlow: A popular open-source framework for building machine learning models, including generative models like GANs.

• PyTorch: Known for its dynamic computation graph, it's widely used for research and production in generative AI applications.

• Hugging Face Transformers: A library that provides pre-tr...read more

Fine-tuning generative AI models involves adapting pre-trained models to specific tasks or datasets for improved performance.

• 1. Data Collection: Gather a dataset relevant to the specific task, such as images for a generative art model.

• 2. Preprocessing: Clean and preprocess the data to ensure it is in a suitable format for training.

• 3. Model Selection: Choose a pre-trained generative model, like GPT-3 for text or StyleGA...read more