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Merge pull request #18415 from DivyaGundreddy/LP158678-1
Bug fixes
2 parents 41b65d4 + b9ec7d2 commit 6d99b45

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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/1-introduction.yml

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[!include[](includes/1-introduction.md)]
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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/2-microsoft-foundry-governance-capability.yml

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[!include[](includes/2-microsoft-foundry-governance-capability.md)]
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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/3-configure-governance-policy-workloads.yml

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[!include[](includes/3-configure-governance-policy-workloads.md)]
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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/4-exercise-configure-governance-controls.yml

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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/5-knowledge-check.yml

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module_assessment: true
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durationInMinutes: 3
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content: "Choose the best response for each of the following questions."
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- content: "Transition budget alerts from notification-only mode to automated response mode that scales down or stops existing AI resources when spending reaches 90% of the monthly limit, preserving budget while maintaining deployed services"
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isCorrect: false
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explanation: "The third option addresses existing resources but doesn't prevent new high-cost deployments, and automatically stopping production AI services could cause service disruptions."
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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/6-summary.yml

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learn-pr/wwl-azure/explore-ai-governance-ai-ready-infrastructure/index.yml

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title: "Explore AI governance for AI ready infrastructure"
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summary: Learn how to govern AI workloads using Microsoft Foundry by enforcing policies, managing costs, ensuring compliance, and applying responsible AI guardrails through hands‑on governance scenarios and exercises.

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