Google Cloud Generative AI Leader — Question 4

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure vibration levels and electrical current recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

Answer options

• A. Deep learning
• B. Reinforcement learning
• C. Supervised learning
• D. Unsupervised learning

Correct answer: D

Explanation

The correct answer is D, Unsupervised learning, because it is used to identify patterns or groupings in data without prior labeling. The other options, such as Supervised learning (C), require labeled data for training, while Reinforcement learning (B) focuses on training models to make decisions based on rewards, which is not applicable here. Deep learning (A) is a subset of machine learning that could be utilized but still requires appropriate labeling to be effective in this context.