quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz ngir gis model drift

Xoolaat done ak konsept drift, di wottu séddale, KS méngale, etiket yu yeex, ak tontu yu jaar yoon ci drift alarm.

Yooni njiit yu jëm ciGis-gis Drift Model
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Lan mooy wuutale derifu done ak derifu konsept?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Lan mooy wuutale derifu done ak derifu konsept?
    • Drift done yi dafay soppi séddaleb done yi; konsept drift dafay soppi diggante dugal ak genn
    • Ñaari tur lañu ngir benn mbir
    • Done drift du am njeexital ci nataal yi kese; konsept drift du am njeexital ci bind
    • Data drift dafay am ci tàggat yaram; konsept drift dafay am ci test
  2. How should a team interpret a PSI value such as 0.30?
    • As a guarantee that model accuracy has fallen
    • As a signal to investigate under the chosen monitoring policy, not a universal proof of harmful drift
    • As an identical threshold for every feature and population
    • As proof that retraining must begin immediately
  3. Lan moo waral gis-gis bi lalu ci dugal mën na teela artu?
    • Ndax dugal yi dañuy njëkka juum
    • Ndax dugal yi dañu gëna ndaw
    • Ndax etiketu dëgg yi dañuy faral di ñëw ginaaw li ñu séentuwoon
    • Ndax model yi duñu bàyyi xel ci etiket yi
  4. What does a two-sample Kolmogorov-Smirnov test compare?
    • The average accuracy of two classifiers only
    • The class labels predicted by a single model
    • The parameter values of two neural networks
    • The empirical cumulative distribution functions of two samples
  5. Ban senaario mooy misaalu drift konsept bu leer?
    • Li jëfandikukat yi jàpp ni 'spam' dafay soppeeku lu yàgg doonte ci imeel yu nuru
    • Kamera dafay defar nataal yu gëna leer tuuti
    • Jamono kiliyaan yi ci done yi duñu soppeeku
    • Dañu denc done yi ci formaa fichier bu bees
  6. What is a safe first response when an input-drift monitor triggers?
    • Automatically deploy a newly retrained model without evaluation
    • Investigate the data and impact, then decide whether retraining or another action is justified
    • Delete the reference data
    • Assume every shift is harmful concept drift
  7. What can TensorFlow Data Validation check in an ML pipeline?
    • The causal effect of a feature
    • Whether every model prediction is correct
    • Data schemas and statistics, including unexpected changes
    • The absolute accuracy of an unlabeled dataset
  8. What does the Population Stability Index (PSI) measure in a drift-monitoring setup?
    • The model’s accuracy on labeled examples
    • A causal effect of an input feature
    • A universal pass/fail threshold for all models
    • A numerical summary of how binned feature distributions differ between reference and current data