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        "potentially_affected": "Separate a physical-device investigation from a Cloud PC sizing decision. Identify the relevant period, workload, and whether the report contains sufficient measurements for that endpoint.",
        "dse_recommendation": "Review CPU and RAM separately before proposing replacement or resizing.",
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        "content_html": "<h2>Source facts</h2>\n<p>The resource-performance report covers Windows devices and Windows 365 Cloud PCs. CPU utilization above 50 percent and RAM utilization above 75 percent count as spikes. The displayed spike percentages compare spike time with device usage time and are averaged over 14 days. The report combines CPU and RAM spike-time scores into its overall performance rating. <a href=\"https://learn.microsoft.com/en-us/intune/advanced-analytics/resource-performance\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Learn</a>.</p>\n<h2>Applicability</h2>\n<p>Separate a physical-device investigation from a Cloud PC sizing decision. Identify the relevant period, workload, and whether the report contains sufficient measurements for that endpoint.</p>\n<h2>DSE recommendation</h2>\n<p>Review CPU and RAM separately before proposing replacement or resizing. Compare an affected device with a suitable workload cohort and ask the user when the slowdown occurs. Use the reported interval to guide deeper investigation of the application and device timeline. Treat the score as a prioritization input, not proof that adding hardware is the only useful remedy.</p>\n<h2>Verification</h2>\n<p>Collect an approved observation during the reported workload and reconcile it with the resource identified by the report. Document whether the issue is sustained, intermittent, or not reproduced. Test the proposed adjustment on a bounded example and compare user experience as well as the relevant metric. Preserve the original configuration and measurement window so the owner can distinguish an improvement from a change in usage or population.</p>\n<h2>Official references</h2>\n<p><a href=\"https://learn.microsoft.com/en-us/intune/advanced-analytics/resource-performance\" target=\"_blank\" rel=\"noopener noreferrer\">Microsoft Learn: Resource Performance Report</a>.</p>",
        "content_text": "Source facts\nThe resource-performance report covers Windows devices and Windows 365 Cloud PCs. CPU utilization above 50 percent and RAM utilization above 75 percent count as spikes. The displayed spike percentages compare spike time with device usage time and are averaged over 14 days. The report combines CPU and RAM spike-time scores into its overall performance rating. Microsoft Learn.\nApplicability\nSeparate a physical-device investigation from a Cloud PC sizing decision. Identify the relevant period, workload, and whether the report contains sufficient measurements for that endpoint.\nDSE recommendation\nReview CPU and RAM separately before proposing replacement or resizing. Compare an affected device with a suitable workload cohort and ask the user when the slowdown occurs. Use the reported interval to guide deeper investigation of the application and device timeline. Treat the score as a prioritization input, not proof that adding hardware is the only useful remedy.\nVerification\nCollect an approved observation during the reported workload and reconcile it with the resource identified by the report. Document whether the issue is sustained, intermittent, or not reproduced. Test the proposed adjustment on a bounded example and compare user experience as well as the relevant metric. Preserve the original configuration and measurement window so the owner can distinguish an improvement from a change in usage or population.\nOfficial references\nMicrosoft Learn: Resource Performance Report.",
        "content_markdown": "## Source facts\n\nThe resource-performance report covers Windows devices and Windows 365 Cloud PCs. CPU utilization above 50 percent and RAM utilization above 75 percent count as spikes. The displayed spike percentages compare spike time with device usage time and are averaged over 14 days. The report combines CPU and RAM spike-time scores into its overall performance rating. [Microsoft Learn](https://learn.microsoft.com/en-us/intune/advanced-analytics/resource-performance).\n\n## Applicability\n\nSeparate a physical-device investigation from a Cloud PC sizing decision. Identify the relevant period, workload, and whether the report contains sufficient measurements for that endpoint.\n\n## DSE recommendation\n\nReview CPU and RAM separately before proposing replacement or resizing. Compare an affected device with a suitable workload cohort and ask the user when the slowdown occurs. Use the reported interval to guide deeper investigation of the application and device timeline. Treat the score as a prioritization input, not proof that adding hardware is the only useful remedy.\n\n## Verification\n\nCollect an approved observation during the reported workload and reconcile it with the resource identified by the report. Document whether the issue is sustained, intermittent, or not reproduced. Test the proposed adjustment on a bounded example and compare user experience as well as the relevant metric. Preserve the original configuration and measurement window so the owner can distinguish an improvement from a change in usage or population.\n\n## Official references\n\n[Microsoft Learn: Resource Performance Report](https://learn.microsoft.com/en-us/intune/advanced-analytics/resource-performance)."
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