
Ultimate access to all questions.
In the context of a large-scale e-commerce platform, you are tasked with evaluating the consistency and reliability of sales data across different time periods to identify trends, seasonal effects, and anomalies. The platform handles millions of transactions daily, and the data is stored in a time-series database. Given the need for accuracy and the volume of data, which of the following techniques is MOST appropriate for this task? Choose one correct option.
A
Cluster analysis to group similar sales patterns together without considering time.
B
Data shuffling to randomly rearrange sales data to prevent model bias.
C
Time series analysis to analyze sales data points collected at successive time intervals.
D
Cross-validation to assess how well a predictive model generalizes to an independent dataset.