Cuestionario vinculado a una guía · fácil Nivel
¿Qué es la IA? cuestionario
Compare la IA aprendida y basada en reglas, examine un ejemplo de bandeja de entrada de soporte y juzgue los resultados generados utilizando evidencia de tareas y revisión humana.
Pregunta 1 de 8
Un planificador de rutas busca posibles viajes utilizando reglas explícitas. ¿Qué ilustra esto sobre la IA?
Vista previa de cada pregunta8 preguntas
Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.
- Un planificador de rutas busca posibles viajes utilizando reglas explícitas. ¿Qué ilustra esto sobre la IA?
- Todo sistema de IA debe aprender de ejemplos etiquetados
- Un enfoque de IA puede utilizar reglas y realizar búsquedas sin una red neuronal
- Una interfaz de planificación de rutas demuestra una comprensión similar a la humana
- La búsqueda basada en reglas es el mismo proceso que entrenar un clasificador.
- ¿Qué relación tiene el aprendizaje automático con la IA?
- A subfield within AI that learns patterns from data
- The hardware component that runs an AI system
- A separate term for expert systems
- An output format used only for text
- A delivery service estimates arrival times from route and traffic data. What should a user understand about that output?
- It proves the system understands every traffic situation
- It is an exact schedule that cannot change
- It is a prediction from inputs, not a guarantee
- It only counts as AI if a neural network produced it
- A team is choosing between two AI tools for an ambiguous support task. Which comparison follows the guide?
- Compare interface style and choose the more conversational tool
- Evaluate only familiar examples because they are easiest to score
- Choose the larger model before testing
- Test fresh and ambiguous requests, and weigh the cost of errors
- A photo organizer labels familiar pictures well. Which next check addresses a limit described in the guide?
- Try unfamiliar or ambiguous pictures and review important errors
- Assume every future picture will be labeled correctly
- Treat familiar examples as proof that it understands all objects
- Remove human review because the first results look convincing
- According to the guide, why can fluent chatbot text still be wrong?
- It checks each statement against sources before producing text
- Its confident style shows the information was verified
- It can produce likely-sounding text without checking whether claims are true
- It only generates answers copied from one fixed encyclopedia
- A writing assistant creates new paragraphs from a prompt. Which term describes AI that produces new content?
- A system that only retrieves prewritten paragraphs
- A rule-based template that fills fixed blanks
- IA generativa
- A classifier that chooses among existing labels
- Before publishing an assistant’s paragraph with names and dates, what responsibility remains with the author?
- Trust the paragraph if it reads fluently
- Check that the names, dates and cited sources are accurate
- Ask the model to add citations without checking them
- Review only the paragraph’s tone