Google Professional Machine Learning Engineer
Get started today
Ultimate access to all questions.
Ultimate access to all questions.
You are tasked with developing a machine learning solution to classify a large volume of written support cases into three categories: Technical Support, Billing Support, or Other Issues. The solution must be developed, tested, and deployed swiftly to meet immediate business needs. Given the constraints of time and the requirement for high accuracy, which of the following pipeline configurations would you choose? Please select the best option that aligns with Google Cloud's best practices for rapid deployment and scalability. Choose one correct option.
Explanation:
AutoML Natural Language is the optimal choice for this scenario due to its ability to quickly develop, test, and deploy a machine learning model for text classification without requiring deep expertise in machine learning. It provides a balance between development speed and model accuracy, making it suitable for rapid deployment scenarios. Additionally, it leverages Google Cloud's infrastructure for scalability and ease of integration with other services.