Machine Learning Engineer Beginner Practice Exam: Easy Questions 2025

In the context of ML problem framing, what is a "label" in supervised learning?

Which metric is most commonly used to evaluate a classification model (not regression)?

Which Google Cloud service is commonly used to store large datasets for analytics and ML feature generation using SQL?

Which Vertex AI capability is used to deploy a trained model so it can serve online predictions via an API?

Which storage option is commonly used as a durable, scalable place to store raw training data (for example, CSV files or images) for ML on Google Cloud?

In data preparation, what does "data preprocessing" typically mean?

Which type of ML model is typically used when the target output is a continuous numeric value (for example, predicting house price)?

What is the primary purpose of splitting data into training and test sets?

Which Google Cloud tool is commonly used to define and run an end-to-end ML workflow as a pipeline on Vertex AI?

In production ML, what does "model monitoring" primarily help detect?