When picking a route for a self-driving car public beta, it's important to consider factors such as safety, convenience, and feasibility. Safety should always be the top priority, so the route should be carefully selected to avoid any potential hazards or dangerous areas. Convenience is also important, as users will want to be able to get to their destination quickly and efficiently. This means choosing routes that are well-traveled and have minimal traffic or delays. Feasibility is another consideration, as the technology behind self-driving cars is still relatively new and untested. It may be necessary to select routes that are easier for the car to navigate and avoid more complex or difficult routes until the technology is more advanced. When diagnosing a hypothetical situation for a data anomaly in self-driving car operation, it's important to first identify the anomaly and determine its cause. This may involve analyzing data from various sensors, such as cameras and radar, to determine whether there was a malfunction or other issue with the car's technology or environment. Once the cause of the anomaly has been identified, it's important to take appropriate action. This may involve adjusting the car's programming or making changes to the environment to prevent similar anomalies from occurring in the future. It's also important to communicate with users and stakeholders to keep them informed of any issues and to ensure their safety and confidence in the technology.