Tijaabada A/B ee Kediska Moodooyinka ML

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay sababta ay kooxuhu u tijaabiyaan moodooyinka A/B ee wax soo saarka halkii ay aamini lahaayeen cabbirada khadka tooska ah?
   • Qaabka leh saxnaanta khadka tooska ah ee ka fiican ayaa wali dhaawici karta cabbirada ganacsiga dhabta ah
   • Qiyaasaha khadka tooska ah waa sharci darro
   • Wax soo saarku wuu ka jaban yahay tijaabinta khadka tooska ah
   • Xogta khadka tooska ah ma jirto
2. Doorkee ayay ka ciyaartaa meelaynta random-ka ee imtixaanka A/B?
   • Waxay ka dhigaysa in tijaabada si degdeg ah u socdo
   • It supports balance between groups in expectation, subject to design and implementation assumptions
   • Waxay tirtirtaa isticmaalayaasha eexda
   • Waxay yaraynaysaa tirada moodooyinka loo baahan yahay
3. In a model A/B test, what usually happens in the treatment group?
   • The candidate scores requests but all outputs are withheld
   • Every user is assigned to both models for the same decision
   • The candidate model serves user-facing decisions for the randomly assigned group
   • The control model is removed before any comparison
4. Under a null hypothesis and stated test assumptions, how is a p-value interpreted?
   • As the probability that the null hypothesis is true
   • As the probability that the treatment caused the observed result
   • As the probability that the experiment will replicate
   • As the probability of data at least this extreme if the null hypothesis holds
5. How can a multi-armed bandit change an experiment while it runs?
   • It can allocate more traffic to variants with better observed outcomes and less to others
   • It keeps every variant at a fixed equal allocation throughout
   • It removes randomization from every assignment
   • It guarantees the best variant is identified without uncertainty
6. Waa maxay ujeedada falanqaynta awooda ka hor tijaabada A/B?
   • Si aad u doorato astaanta tijaabada
   • Si loo qiyaaso inta isticmaale ee loo baahan yahay si lagu kalsoonaan karo loo ogaado saameynta dhabta ah
   • Si loo sireeyo taraafikada
   • Si loo tirtiro kooxda xakamaynta
7. What does a sample-ratio mismatch (SRM) signal during an A/B test?
   • The treatment model is necessarily better
   • The experiment has sufficient statistical power
   • Observed assignment counts differ materially from the configured allocation, which can indicate a data or randomization problem
   • The primary metric improved causally
8. Why include guardrail metrics alongside an experiment’s primary success metric?
   • To guarantee the candidate wins on every metric
   • To replace the primary metric after results are observed
   • To avoid defining a decision rule before the test
   • To detect meaningful harms in other outcomes even when the primary metric improves