एआई संचालन प्रश्नोत्तरी

जैसे ही आप प्रश्नोत्तरी लेते हैं उत्तर और स्पष्टीकरण दिखाई देते हैं।

1. जब आवश्यक निर्भरता अनुपलब्ध हो तो एक मॉडल सेवा को क्या करना चाहिए?
   • Return an untested substitute as if it were verified
   • Hide the outage from operators
   • Continue every consequential action without the dependency
   • Enter an explicit, truthful degraded or unavailable state
2. मॉडल रिलीज़ के भाग के रूप में किन कलाकृतियों का संस्करण बनाया जाना चाहिए?
   • Only the public API name
   • Model, transformations, prompts, retrieval indexes, dependencies, and configuration
   • Only the model weights
   • Only the server host
3. एक प्रशिक्षण कार्य सफलतापूर्वक पूरा होता है. यह तैनाती के लिए क्या स्थापित करता है?
   • Only that training completed; the checkpoint still needs release checks
   • That quality and compatibility are acceptable
   • That automatic promotion is safe
   • That rollback is unnecessary
4. एक समापन बिंदु HTTP 200 लौटाता है लेकिन पुराने पुनर्प्राप्ति परिणाम प्रस्तुत करता है। परिचालनात्मक पाठ क्या है?
   • The request must be correct because it returned 200
   • Stale results are not a service issue
   • Transport health does not establish current or correct task output
   • HTTP status replaces quality monitoring
5. परीक्षण किए गए मार्ग को अंतिम संगत संस्करण पर वापस क्यों रखें?
   • To eliminate the need for evaluation
   • To recover when a release causes regression or incompatibility
   • To make every model release permanent
   • To hide operational incidents
6. Should every newly trained checkpoint be promoted automatically?
   • Yes, if the training loss decreased
   • Yes, because automation removes risk
   • No checkpoint may ever be deployed
   • No; quality and compatibility checks should precede promotion
7. Who should respond to an operational alert?
   • Any user who happens to see it
   • The training dataset itself
   • An assigned owner who can investigate impact and verify recovery
   • No one if uptime remains above target
8. Which set gives a fuller view of operational success?
   • Availability, data correctness, task outcomes, and resource use
   • Uptime alone
   • Training accuracy alone
   • Number of deployment files