AI in Aviation and Air Traffic Quiz

Answers and explanations appear as you take the quiz.

1. What can an FAA-accepted reliability program allow an eligible aircraft operator to adjust?
   • Maintenance task intervals, subject to the program and FAA evaluation
   • Aircraft separation minima in controlled airspace
   • The certification requirements for any AI model
   • The aircraft manufacturer’s approved design
2. In air traffic management, what does 'separation minima' refer to that AI systems must respect?
   • The minimum fuel reserve required
   • The minimum distance required between aircraft
   • The shortest possible runway length
   • The lowest legal cruising altitude
3. What information does ADS-B Out broadcast to ground stations and other aircraft?
   • Maintenance work orders and engine oil samples
   • Satellite weather forecasts only
   • Aircraft GPS location, altitude, ground speed and identifying information
   • The aircraft’s full flight recorder audio
4. Which platform is known for aggregating airline and fleet data for analytics?
   • Adobe Photoshop
   • TensorFlow Lite
   • Spotify Wrapped
   • Airbus Skywise
5. According to Airbus Skywise Fleet Performance, what data does its fault-detection service use?
   • Extended aircraft sensor data generated in flight and maintenance information
   • Only passenger booking records
   • Only weather reports from airports
   • Pilot voice recordings
6. What does the FAA AI Safety Assurance Roadmap aim to establish?
   • A target date for fully autonomous passenger flights
   • Guiding principles and priorities for safely introducing AI into aviation
   • A single required neural-network architecture
   • A universal approval for all AI products
7. What does predictive maintenance do with sensor and maintenance-history patterns?
   • Automatically certifies an aircraft as airworthy
   • Replaces all inspections and maintenance staff
   • Flags possible faults for review before they disrupt operations
   • Changes separation rules between aircraft
8. What does the FAA emphasize when evaluating AI systems for aviation?
   • Assuming software accuracy from benchmark scores alone
   • Removing human-factors analysis
   • Deploying models before defining their intended use
   • Measuring system performance within the aircraft certification framework