GCP ML exam practice questions

Please read each question carefully and thoroughly, and fully understand it. Please also review all the docs that are related to the question at the reference links provided:

• Question 1: Space Y is launching its hundredth satellite to build its StarSphere network. They have designed an accurate orbit (launching speed/time/and so on) for it based on the existing 99 satellite orbits to cover the Earth’s scope. What’s the best solution to forecast the position of the 100 satellites after the hundredth launch?
  1. Use ML algorithms and train ML models to forecast
  2. Use neural networks to train the model to forecast
  3. Use physical laws and actual environmental data to model and forecast
  4. Use a linear regression model to forecast

Analysis: This is an ML problem framing question. To decide whether ML is the best method for a problem, we need to see whether traditional science modeling would be very difficult or impossible to solve the problem...