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What is the primary purpose of Microsoft Foundry on Windows?
To train large-scale AI models exclusively in the cloud
To provide a unified platform for building AI-powered applications that run locally on Windows and support hybrid scenarios
To replace Windows operating system AI features
To manage hardware drivers for CPUs, GPUs, and NPUs
Which scenario best illustrates a key advantage of running AI workloads locally on a Windows device?
Training very large models using massive distributed datasets
Processing sensitive data without sending it to cloud services
Scaling AI workloads to unlimited compute capacity
Replacing all cloud-based analytics systems
What role does Windows ML play in Microsoft Foundry on Windows?
Providing built-in task-based AI features such as OCR and text summarization
Enabling local execution of curated open-source models
Serving as a runtime for running custom AI models across diverse Windows hardware
Managing network connectivity for hybrid AI applications
Which processors can Windows automatically use to run AI workloads based on device capabilities?
Only CPUs
Only GPUs and NPUs
CPUs, GPUs, and NPUs
Dedicated cloud accelerators
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