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User Story 446137: Q&M: Retire Dynamically meet changing web app training module
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.openpublishing.redirection.json

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"source_path": "learn-pr/aspnetcore/secure-aspnet-core-identity/index.yml",
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"redirect_url": "https://learn.microsoft.com/training/modules/build-web-api-minimal-database/",
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"redirect_document_id": false
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},
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/1-introduction.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"redirect_document_id": false
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},
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/2-identify-scenarios.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"redirect_document_id": false
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},
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/3-knowledge-check-identify-scenarios.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"redirect_document_id": false
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},
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/4-identify-factors.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"redirect_document_id": false
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"source_path": "learn-pr/azure/app-service-autoscale-rules/5-knowledge-check-identify-factors.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"redirect_document_id": false
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},
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/6-autoscale-a-web-app.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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{
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"source_path": "learn-pr/azure/app-service-autoscale-rules/7-exercise-autoscale-a-web-app.yml",
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"redirect_url": "https://learn.microsoft.com/azure/app-service/manage-automatic-scaling",
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"source_path": "learn-pr/azure/app-service-autoscale-rules/8-summary.yml",
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}

learn-pr/achievements.yml

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title: 'Microsoft Azure AI Fundamentals: Generative AI'
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summary: "Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, code, and more. \n\nTake this learning path to get started with generative AI. In it, you'll learn how to:\n- Understand core concepts of generative AI\n- Prepare for an AI development project\n- Describe considerations and practices for responsible generative AI\n- Build an AI agent using Azure AI Foundry"
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iconUrl: /learn/achievements/generic-badge.svg
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- uid: learn.app-service-autoscale-rules.badge
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type: trophy
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title: Dynamically meet changing web app performance requirements with autoscale rules
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summary: Respond to periods of high activity by incrementally adding resources, and then removing these resources when activity drops, to reduce costs.
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iconUrl: /training/achievements/app-service-autoscale-rules.svg

learn-pr/azure/app-service-autoscale-rules/1-introduction.yml

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learn-pr/azure/app-service-autoscale-rules/2-identify-scenarios.yml

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learn-pr/azure/app-service-autoscale-rules/3-knowledge-check-identify-scenarios.yml

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learn-pr/azure/app-service-autoscale-rules/4-identify-factors.yml

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learn-pr/azure/app-service-autoscale-rules/5-knowledge-check-identify-factors.yml

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learn-pr/azure/app-service-autoscale-rules/6-autoscale-a-web-app.yml

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learn-pr/azure/app-service-autoscale-rules/7-exercise-autoscale-a-web-app.yml

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learn-pr/azure/app-service-autoscale-rules/8-summary.yml

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