All cost optimizations are driven by metrics, and all metrics require achievable targets.

All cost optimizations are driven by metrics, and all metrics require achievable targets.

• A. All cost optimizations are driven by metrics, and all metrics require achievable targets.
• B. Metrics are optional in cost optimization.
• C. Achievable targets are irrelevant.
• D. Metrics are irrelevant to optimization.

Answer: (A)

Cost optimization relies on quantitative signals. Metrics show where cloud spend is going and where savings opportunities exist, such as idle reservations, underutilized instances, or high data transfer costs. But a metric by itself doesn’t drive action unless there is a realistic target to aim for. An achievable target provides a clear goal, a deadline, and a way to measure progress, turning data into focused work. Pairing metrics with achievable targets helps you prioritize the biggest impact, monitor improvements, and adjust efforts if the target proves too easy or unattainable. That combination is why the statement holds: all cost optimizations are driven by metrics, and all metrics require achievable targets.

Cost optimization relies on quantitative signals. Metrics show where cloud spend is going and where savings opportunities exist, such as idle reservations, underutilized instances, or high data transfer costs. But a metric by itself doesn’t drive action unless there is a realistic target to aim for. An achievable target provides a clear goal, a deadline, and a way to measure progress, turning data into focused work. Pairing metrics with achievable targets helps you prioritize the biggest impact, monitor improvements, and adjust efforts if the target proves too easy or unattainable. That combination is why the statement holds: all cost optimizations are driven by metrics, and all metrics require achievable targets.