
Ultimate access to all questions.
As a Google Cloud Professional Machine Learning Engineer, you are tasked with defining a machine learning problem for a retail client looking to improve customer satisfaction. The client has provided a dataset containing customer interactions, purchase history, and feedback scores. Considering the need for scalability, cost-effectiveness, and compliance with data privacy regulations, which of the following should be your primary consideration in defining the ML problem? Choose the BEST option.
A
The development of a mobile application to collect more customer feedback in real-time.
B
Identifying the problem type (e.g., classification to predict customer satisfaction levels, regression to estimate future purchase amounts, or clustering to segment customers based on behavior).
C
Implementing a sales forecasting model to predict next quarter's revenue.
D
Deciding on the data storage format for the customer dataset to ensure quick access during model training.