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articles/advisor/azure-advisor-score.md

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@@ -18,7 +18,7 @@ Azure Advisor provides best practice recommendations for your workloads. These r
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As a core feature of Advisor, Advisor score can help you achieve these goals effectively and efficiently.
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To get the most out of Azure, it's crucial to understand where you are in your workload optimization journey. You need to know which services or resources are consumed well and which are not. Further, you'll want to know how to prioritize your actions, based on recommendations, to maximize the outcome.
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To get the most out of Azure, it's crucial to understand where you are in your workload optimization journey. You need to know which services or resources are consumed well and which are not. Further, you want to know how to prioritize your actions, based on recommendations, to maximize the outcome.
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It's also important to track and report the progress you're making in this optimization journey. With Advisor score, you can easily do all these things with the new gamification experience.
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Advisor displays your overall Advisor score and a breakdown for Advisor categories, in percentages. A score of 100% in any category means all your resources assessed by Advisor follow the best practices that Advisor recommends. On the other end of the spectrum, a score of 0% means that none of your resources assessed by Advisor follow Advisor's recommendations. Using these score grains, you can easily achieve the following flow:
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* **Advisor score** helps you baseline how your workload or subscriptions are doing based on an Advisor score. You can also see the historical trends to understand what your trend is.
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* **Score by category** for each recommendation tells you which outstanding recommendations will improve your score the most. These values reflect both the weight of the recommendation and the predicted ease of implementation. These factors help to make sure you can get the most value with your time. They also help you with prioritization.
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* **Score by category** for each recommendation tells you which outstanding recommendations improve your score the most. These values reflect both the weight of the recommendation and the predicted ease of implementation. These factors help to make sure you can get the most value with your time. They also help you with prioritization.
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* **Category score impact** for each recommendation helps you prioritize your remediation actions for each category.
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The contribution of each recommendation to your category score is shown clearly on the **Advisor score** page in the Azure portal. You can increase each category score by the percentage point listed in the **Potential score increase** column. This value reflects both the weight of the recommendation within the category and the predicted ease of implementation to address the potentially easiest tasks. Focusing on the recommendations with the greatest score impact will help you make the most progress with time.
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![Screenshot that shows the Advisor score impact.](https://user-images.githubusercontent.com/41593141/195171044-6a45fa99-a291-49f3-8914-2b596771e63b.png)
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If any Advisor recommendations aren't relevant for an individual resource, you can postpone or dismiss those recommendations. They'll be excluded from the score calculation with the next refresh. Advisor will also use this input as additional feedback to improve the model.
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If any Advisor recommendations aren't relevant for an individual resource, you can postpone or dismiss those recommendations. They'll be excluded from the score calculation with the next refresh. Advisor will also use this input as feedback to improve the model.
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## How is an Advisor score calculated?
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Advisor displays your category scores and your overall Advisor score as percentages. A score of 100% in any category means all your resources, *assessed by Advisor*, follow the best practices that Advisor recommends. On the other end of the spectrum, a score of 0% means that none of your resources, assessed by Advisor, follows Advisor recommendations.
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**Each of the five categories has a highest potential score of 100.** Your overall Advisor score is calculated as a sum of each applicable category score, divided by the sum of the highest potential score from all applicable categories. For most subscriptions that means adding up Advisor scores for each category and dividing by 500. But *each category score is calculated only if you use resources that are assessed by Advisor*.
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**Each of the five categories has a highest potential score of 100.** Your overall Advisor score is calculated as a sum of each applicable category score, divided by the sum of the highest potential score from all applicable categories. In most cases this means adding up five Advisor scores for each category and dividing by 500. But *each category score is calculated only if you use resources that are assessed by Advisor*.
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### Advisor score calculation example
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* **Single subscription score:** This example is the simple mean of all Advisor category scores for your subscription. If the Advisor category scores are - **Cost** = 73, **Reliability** = 85, **Operational excellence** = 77, and **Performance** = 100, the Advisor score would be (73 + 85 + 77 + 100)/(4x100) = 0.84% or 84%.
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* **Multiple subscriptions score:** When multiple subscriptions are selected, the overall Advisor score score is calculated as an average of aggregated category scores. Each category score is calculated using individual subscription score and subscription consumsumption based weight. Overall score is calculated as sum of aggregated category scores divided by the sum of the highest potential scores.
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* **Multiple subscriptions score:** When multiple subscriptions are selected, the overall Advisor score is calculated as an average of aggregated category scores. Each category score is calculated using individual subscription score and subscription consumsumption based weight. Overall score is calculated as sum of aggregated category scores divided by the sum of the highest potential scores.
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### Scoring methodology
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1. Advisor calculates the *retail cost of impacted resources*. These resources are the ones in your subscriptions that have at least one recommendation in Advisor.
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1. Advisor calculates the *retail cost of assessed resources*. These resources are the ones monitored by Advisor, whether they have any recommendations or not.
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1. For each recommendation type, Advisor calculates the *healthy resource ratio*. This ratio is the retail cost of impacted resources divided by the retail cost of assessed resources.
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1. Advisor applies three additional weights to the healthy resource ratio in each category:
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1. Advisor applies three other weights to the healthy resource ratio in each category:
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* Recommendations with greater impact are weighted heavier than recommendations with lower impact.
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* Resources with long-standing recommendations will count more against your score.
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* Resources with long-standing recommendations count more against your score.
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* Resources that you postpone or dismiss in Advisor are removed from your score calculation entirely.
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Advisor applies this model at an Advisor category level to give an Advisor score for each category. **Security** uses a [secure score](../defender-for-cloud/secure-score-security-controls.md) model. A simple average produces the final Advisor score.
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Your score can change if you remediate impacted resources by adopting the best practices that Advisor recommends. If you or anyone with permissions on your subscription has modified or created new resources, you might also see fluctuations in your score. Your score is based on a ratio of the cost-impacted resources relative to the total cost of all resources.
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### I implemented a recommendation but my score did not change. Why did this happen?
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### I implemented a recommendation but my score did not change. Why the score did not increase?
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The score does not reflect adopted recommendations right away. It takes at least 24 hours for the score to change after the recommendation is remediated.
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### What if a recommendation isn't relevant?
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If you dismiss a recommendation from Advisor, it will be excluded from the calculation of your score. Dismissing recommendations also helps Advisor improve the quality of recommendations.
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If you dismiss a recommendation from Advisor, it is excluded from the calculation of your score. Dismissing recommendations also helps Advisor improve the quality of recommendations.
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### Why don't I have a score for one or more categories or subscriptions?
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