Google Cloud Professional Data Engineer — Question 22

You are creating a model to predict housing prices. Due to budget constraints, you must run it on a single resource-constrained virtual machine. Which learning algorithm should you use?

Answer options

• A. Linear regression
• B. Logistic classification
• C. Recurrent neural network
• D. Feedforward neural network

Correct answer: A

Explanation

Linear regression is the best choice here as it is computationally efficient and requires minimal resources, making it ideal for a constrained environment. In contrast, Logistic classification is geared towards binary outcomes, while Recurrent and Feedforward neural networks are more resource-intensive and complex, making them less suitable for this scenario.