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항공 및 항공 교통 퀴즈의 AI

항공 AI의 자문 역할, 예측 유지 관리 입력, 분리 요구 사항 및 안전한 배포에 필요한 인증 작업을 검토합니다.

관련 가이드 경로항공 및 항공 교통 분야의 AI
질문 1 의 8

What can an FAA-accepted reliability program allow an eligible aircraft operator to adjust?

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퀴즈를 풀면 정답과 설명이 나타납니다.

  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. 항공교통관리에서 AI 시스템이 준수해야 하는 '분리최저치'는 무엇을 의미하는가?
    • 필요한 최소 연료 보유량
    • 항공기 간 필요한 최소 거리
    • 가능한 가장 짧은 활주로 길이
    • 최저 법적 순항 고도
  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. 분석을 위해 항공사 및 항공기 데이터를 집계하는 것으로 알려진 플랫폼은 무엇입니까?
    • 어도비 포토샵
    • 텐서플로우 라이트
    • Spotify 래핑
    • 에어버스 스카이와이즈
  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