AI in Telecom Quiz

Answers and explanations appear as you take the quiz.

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