Maswali yanayounganishwa na mwongozo · Kati Kiwango

Google Maswali ya AI

Kagua majukumu ya miundo ya Gemini, programu, API, na utumiaji wa wingu, pamoja na upatikanaji wa vipengele, tathmini ya njia nyingi na vidhibiti vya data.

Njia za mwongozo zinazohusianaAI ya Google
Swali 1 ya 8

Which distinction does the guide make about Gemini?

Hakiki kila swali8 maswali

Majibu na maelezo huonekana unapojibu maswali.

  1. Which distinction does the guide make about Gemini?
    • Gemini models, the Gemini application, and developer tools have different roles
    • All Gemini services expose identical features
    • A model name guarantees every tool is enabled
    • The consumer app is the same thing as a cloud deployment
  2. A feature appears in the Gemini consumer app. What should a developer do before relying on it through an API?
    • Assume the same feature is exposed in the API
    • Rely on an old product announcement
    • Check the relevant API documentation and project availability
    • Use the feature name in a prompt
  3. Why should model and feature availability be checked for the intended project?
    • All projects share identical quotas
    • Quotas and access can vary by model, endpoint, account, or region
    • Availability depends only on how many prompts are written
    • A consumer app’s feature list controls every API
  4. What should a developer review before sending private material to a Google AI service?
    • Only whether the project uses the largest model
    • Assume a consumer app’s privacy settings apply to every developer project
    • Assume no request data is retained whenever training use is disabled
    • Review data terms and retention controls for the chosen API service
  5. A report image contains a small footnote. What should a developer account for when using a multimodal model?
    • The model may miss fine text; input quality and resolution can affect what it reads
    • The API verifies every number against the original report automatically
    • The image-processing step guarantees every visible word becomes a model input
    • Repeating the same prompt ensures that all small text will be recognized
  6. Does retrieval or search support remove the need to verify an answer?
    • Yes; retrieval guarantees every claim
    • Only if the source is official
    • No; check the final claims against the sources
    • Yes, if the answer includes links
  7. What does a model capability establish about a specific app workflow?
    • That the feature is automatically enabled everywhere
    • Only potential capability; account permissions and enabled features also matter
    • That the complete workflow has been tested
    • That data controls are identical
  8. What should be recorded when evaluating a Google AI configuration?
    • The company name without its model or endpoint
    • Only the final answer produced in one successful run
    • The project name without the selected model and settings
    • The model, project settings, inputs, and evaluation date