Question
A retail chain wants to predict next month's sales based
on historical data and seasonal trends. Which of the following methods is the most suitable for this task?Solution
Time series analysis is ideal for predicting future values based on historical data and trends. It considers patterns such as seasonality and cyclicality, which are critical for sales forecasting. Methods like ARIMA or exponential smoothing are commonly used in this context. Option B : Regression analysis is versatile but less effective for capturing seasonality. Option C : Decision trees are better suited for classification than forecasting trends. Option D : Neural networks can model complex relationships but require extensive data preprocessing and may overfit for small datasets. Option E : A/B testing is unrelated to forecasting and is used for experimental analysis.
In SQL, which of the following best describes the role of a subquery within a SELECT statement?
Which of the following best illustrates the concept of polymorphism in Object-Oriented Programming (OOP)?
Which of the following is the most accurate description of semi-structured data ?
Which of the following is the main characteristic that differentiates random sampling from non-random sampling techniques?
In a min-heap, what is the complexity of removing the smallest element and restoring the heap property?
A company’s network experiences intermittent connectivity issues. Upon analysis, the network technician observes frequent CRC (Cyclic Redundancy Check...
Which Python library is primarily used for data manipulation and cleaning?
Which of the following is an example of non-random sampling?
What factor is the most critical when determining the appropriate sample size for a study?
Which of the following query will return the third-highest salary from an Employee table in SQL?
