As a data scientist at a manufacturing company, you are tasked with analyzing the company's extensive historical sales data, which consists of hundreds of millions of records. For your exploratory data analysis (EDA), you aim to calculate detailed descriptive statistics such as mean, median, and mode; perform complex statistical tests for hypothesis evaluation; and plot feature variations over time. Your primary goal is to utilize as much of the sales data as possible while optimizing and minimizing computational resources. Given the range of Google Cloud tools available, what should you do? | Google Professional Machine Learning Engineer Quiz