Tabnine Code Completion Quiz

Answers and explanations appear as you take the quiz.

1. What is Tabnine's main differentiator versus many other AI coding assistants?
   • Privacy and control, including on-premise and air-gapped deployment
   • It only works on mobile phones
   • It is the only tool that writes assembly language
   • It requires no internet ever and runs on paper
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. To reduce legal risk, Tabnine emphasizes training its models on what kind of code?
   • Any code scraped from anywhere
   • Only closed-source proprietary code
   • Permissively licensed open-source code
   • Only code written after 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. Beyond autocomplete, what additional capabilities does modern Tabnine offer?
   • Chat, test generation, and code explanation
   • Video editing and music production
   • Only spell-checking emails
   • Managing payroll
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