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Quiz dotyczący gotowości danych do projektów AI

Testuje pięć kontroli gotowości danych, w tym błąd selekcji, wyciek danych, zgodność z etykietą i ograniczenia prawne, takie jak ograniczenia celu RODO.

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Pytanie 1 z 8

The bank has repayment outcomes only for approved applicants. Which data readiness problem does this show?

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Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

  1. The bank has repayment outcomes only for approved applicants. Which data readiness problem does this show?
    • Duplicate records
    • Selection bias that makes the data unrepresentative
    • A slow API
    • Label disagreement between annotators
  2. What is data leakage in the context of model training?
    • Data being stolen by attackers
    • Storage costs rising over time
    • Losing records during migration
    • Features that contain information only available after the outcome being predicted
  3. Which GDPR principle limits reusing data collected for one purpose for an incompatible new purpose?
    • Purpose limitation
    • Right to data portability
    • Odpowiedzialność
    • Storage limitation
  4. In Data Readiness for AI Projects: what does Cohen's kappa measure?
    • The speed of a data pipeline
    • The number of missing values
    • Agreement between annotators, corrected for chance
    • The cost of labeling per item
  5. Why does retrieval for a generative AI assistant need to respect existing access permissions?
    • To make responses load faster
    • So the assistant does not reveal documents a user is not allowed to see
    • Because embeddings need permissions to be calculated
    • To lower the number of documents stored
  6. Why should forecasting models usually be tested on data split by time rather than randomly?
    • It mirrors real deployment and avoids training on future information
    • Losowe podziały są nielegalne
    • Time splits need less data
    • Random splits cannot be used with labels
  7. Which statement reflects a common misconception about data readiness?
    • Readiness depends on the specific use case
    • Quality only needs to be good enough for the task
    • Legal rights to use data must be checked
    • A large volume of data means an organization is ready for AI
  8. What does a 'datasheets for datasets' document record?
    • The cost of each database server
    • The model's accuracy on the test set
    • A dataset's origin, composition, collection method and intended use
    • The passwords for accessing the data