Quiz ngir yeggali kodu Tabnine

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

1. Lan mooy wuutale Tabnine ak yeneen assistant codage IA yu bari?
   • Njaboot ak saytu, boole ci dugal ci biir barab bi ak ci jawwu ji
   • Ci telefon rek lay dox
   • Mooy benn jumtukaay biy bind làkku assemblée
   • Du soxla internet te dafay daw ci këyit
2. Which statement about Tabnine’s history is most supportable from current official product documentation?
   • Tabnine launched after every other coding assistant
   • Use a dated official company announcement for launch timing; current documentation describes present features, not a comparative launch chronology
   • Tabnine is the oldest software company
   • Its launch date determines code quality
3. Ngir wàññi risku yoon, Tabnine dafay fësal tàggat ay modelam ci ban xeetu kode?
   • Bépp kod buñu raxas fépp
   • Kodu moomeel bu tëju kese
   • Kodu open-source buñu may lisence
   • Kod biñu bind ginaaw 2024
4. What model-choice option does Tabnine document for Chat users?
   • Only a single fixed open-source model
   • Only a locally trained model with no administrator settings
   • Any model from any provider without policy differences
   • They may choose among Tabnine models or supported third-party models
5. Ginaaw yeggali boppam, ban yeneen mbir la Tabnine bu bees bi mëna joxe?
   • Waxtaan, defar ay test ak leeral kode
   • Soppali wideo ak defar music
   • Imeel yiy saytu ortograafi kese
   • Xool saleer
6. What does Tabnine’s provenance feature say it can do in supported configurations?
   • Guarantee that all generated code is original
   • Flag detected matches to publicly visible code and provide source/license information
   • Replace an organization’s legal review
   • Automatically approve every license
7. Why should developers review AI-suggested code before using it?
   • Code completion always compiles
   • Model training guarantees correctness
   • Suggestions can be incorrect, insecure, or incompatible with project requirements
   • A privacy option validates all code
8. What does Tabnine say happens to the code context sent for an inference request when the response returns?
   • It is always added to public training data
   • It is retained permanently in a public repository
   • It is sent to every third-party model provider
   • It is deleted immediately after the response for Tabnine models