Maswali yanayounganishwa na mwongozo · Kati Kiwango

AI katika Maswali ya Telecom

Hujaribu mipaka ya hatua za mtandao, mabadiliko ya hali, ubora wa telemetry, udhibiti wa opereta, uthabiti na matokeo ya mteja.

Njia za mwongozo zinazohusianaMawasiliano ya AI
Swali 1 ya 8

Why distinguish a model that observes from one that changes network state?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Why distinguish a model that observes from one that changes network state?
    • Observation always requires emergency shutdown
    • Direct control creates different operational risk and needs bounded action and rollback
    • A recommendation is the same as automatic control
    • Network models cannot affect state
  2. A network policy is trained on older sites. What evaluation should be added?
    • Test new sites and hardware, plus changing traffic conditions
    • Evaluate only the historical average
    • Use model accuracy instead of service measures
    • Remove site identifiers and skip testing
  3. What safety boundary is useful around learned network actions?
    • Allow any action if the model confidence is high
    • Remove deterministic controls after training
    • Optimize one local metric without service checks
    • Limit action ranges, preserve emergency connectivity, and enable operator reversal
  4. Why check time synchronization and missing telemetry?
    • They change customer billing automatically
    • They only affect dashboard colors
    • Misaligned or incomplete device data can distort the model’s view of network state
    • They prove that the model is stale
  5. Which measures reflect customer-facing network outcomes?
    • Availability, dropped calls, throughput, latency, and support resolution
    • Number of model layers and training epochs
    • Only average inference speed
    • The count of cell towers in a region
  6. An optimization improves throughput in one busy area but hurts a rural region. What does that show?
    • The change is necessarily a success
    • A local metric may hide a worse overall service outcome
    • Rural service is outside network quality
    • Throughput cannot be measured
  7. What should happen when network traffic changes substantially?
    • Assume training data cover all futures
    • Remove the fallback route
    • Reassess model performance and test under the changed operating conditions
    • Wait for customers to report every issue
  8. Why should an operator be able to understand and reverse a network change?
    • It ensures the model never makes an error
    • It eliminates the need for monitoring
    • It makes customer measures unnecessary
    • It supports oversight and recovery if the learned action causes a problem