LTIMindtree Senior Solution Architect Interview Questions and Answers

Time series forecasting involves analyzing past data to make predictions about future values based on patterns and trends.

• Time series forecasting uses historical data to identify patterns and trends over time.

• Common techniques include ARIMA, exponential smoothing, and machine learning algorithms like LSTM.

• Forecasting accuracy can be improved by adjusting parameters, incorporating external factors, and using ensemble me...read more

Various machine learning techniques such as regression, classification, clustering, and deep learning are used to analyze data and make predictions.

• Regression: Used to predict continuous values, such as predicting house prices based on features like size and location.

• Classification: Used to categorize data into different classes, such as classifying emails as spam or not spam.

• Clustering: Used to group similar data poin...read more

Product lifecycle refers to the stages a product goes through from introduction to withdrawal from the market.

• Product development: Research, design, and creation of the product.

• Introduction: Launching the product into the market.

• Growth: Sales and market share increase as product gains popularity.

• Maturity: Sales peak and competition intensifies.

• Decline: Sales decrease, leading to eventual withdrawal from the market.

• Exam...read more