Kuis Penyelesaian Kode Tabnine

Jawaban dan penjelasan muncul saat Anda mengikuti kuis.

1. Apa pembeda utama Tabnine dibandingkan banyak asisten pengkodean AI lainnya?
   • Privasi dan kontrol, termasuk penempatan di lokasi dan melalui celah udara
   • Ini hanya berfungsi di ponsel
   • Ini adalah satu-satunya alat yang menulis bahasa assembly
   • Itu tidak memerlukan internet dan berjalan di atas kertas
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. Untuk mengurangi risiko hukum, Tabnine menekankan pelatihan modelnya tentang jenis kode apa?
   • Kode apa pun diambil dari mana saja
   • Hanya kode kepemilikan sumber tertutup
   • Kode sumber terbuka berlisensi permisif
   • Hanya kode yang ditulis setelah tahun 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. Selain pelengkapan otomatis, kemampuan tambahan apa yang ditawarkan Tabnine modern?
   • Obrolan, pembuatan tes, dan penjelasan kode
   • Pengeditan video dan produksi musik
   • Hanya email pemeriksa ejaan
   • Mengelola penggajian
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