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xAI 퀴즈
Grok 표면 및 API, 모델 식별자, 도구 지원, 사실 확인, 데이터 처리 및 서비스 오류 확인을 테스트합니다.
질문 1 의 8
A capability is visible in Grok’s consumer interface. What must a developer verify before using it through an API?
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- A capability is visible in Grok’s consumer interface. What must a developer verify before using it through an API?
- Whether the selected API model and endpoint support that capability
- Assume all surfaces share every feature
- Use the same endpoint for all model versions
- Treat the consumer account as API permission
- Why record the exact model identifier and settings in an xAI API test?
- The identifier predicts factual correctness
- Settings replace API documentation
- Model availability and behavior can change, so the test must be reproducible
- Versioning is needed only for images
- A model answers a breaking-news question confidently. What should an evaluator do?
- Assume current access from fluent wording
- Check the claim against reliable sources and confirm any retrieval step supported it
- Treat a search tool name as proof it was used
- Share the response before checking
- An endpoint accepts the same request schema as another provider. What does that guarantee?
- Exact behavioral equivalence
- Identical privacy terms
- The same model version
- Only request-shape compatibility, not identical tool, streaming, error or storage semantics
- A developer wants voice output from a specific Grok API model. Which step is appropriate?
- Check the current documentation for that model, endpoint and enabled tools
- Assume voice is supported everywhere because it exists in one product
- Call a text endpoint and infer audio availability
- Use old examples without checking versioning
- A user says a Grok answer is true because the model sounded certain. Which guide principle applies?
- A fluent answer includes a hidden source guarantee
- Confidence replaces independent validation
- A consumer interface verifies every fact
- Confidence in phrasing is not evidence that the answer is correct
- A team connects an API to internal documents. Which issue should it review?
- Only whether the model can write code
- Whether the interface has a dark theme
- The service’s data and usage terms, permissions, and storage behavior
- How many emojis are supported
- An API tool becomes unavailable during a task. What should a robust evaluation include?
- Only the successful first request
- Testing unavailable-tool and incomplete-output cases
- A comparison of logos
- A guarantee that the endpoint never fails