An organization is implementing Azure Advisor recommendations across multiple subscriptions. How should you prioritize and act on recommendations to maximize value?

Correct answer: Review recommendations sorted by potential cost savings and availability improvements, then implement by criticality

Option B is correct because Azure Advisor recommendations should be reviewed by sorting on potential impact, such as cost savings and availability improvements, and then prioritized by criticality so that the highest-value changes with the lowest risk are implemented first, maximizing return on effort across multiple subscriptions. Option A is incorrect because non-production environments often reveal cost waste and misconfigurations that affect production architecture, and ignoring those recommendations leaves value on the table. Option C is incorrect because skipping performance and cost optimization recommendations means missing significant opportunities to improve efficiency and reduce spend, both of which Advisor is specifically designed to surface. Option D is incorrect because applying all recommendations immediately without review can cause outages or unintended configuration changes, particularly for recommendations that require testing or staged rollout.