What metric would you review to assess snapshot policy growth?

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Multiple Choice

What metric would you review to assess snapshot policy growth?

Explanation:
Snapshot policy growth is best understood by looking at multiple related metrics that together reveal usage patterns and space pressure. Snapshot counts tell you how many point-in-time copies exist, which helps you see how expansive the retention policy is and how many snapshots are being kept at any moment. Growth rate shows how quickly new snapshots are being created, highlighting whether the policy is expanding rapidly or remaining steady, and helping you detect abrupt changes or misconfigurations. Capacity usage per volume over time shows the actual space impact of those snapshots, since NetApp uses a copy-on-write model where each retained snapshot can contribute to used space as data changes. This metric prevents you from assuming snapshots are small or inconsequential just because counts or rates look acceptable, and it helps forecast when you might approach capacity limits. If you focus on just one metric, you might miss important nuances—for example, many snapshots with a slow growth rate could still consume substantial space, or a high growth rate with small incremental changes might not yet strain capacity but could in the near term. Looking at all three together gives a complete, practical view of how the snapshot policy is evolving and where attention is needed. Therefore, reviewing snapshot counts, growth rate, and capacity usage per volume over time provides the most accurate assessment of snapshot policy growth.

Snapshot policy growth is best understood by looking at multiple related metrics that together reveal usage patterns and space pressure.

Snapshot counts tell you how many point-in-time copies exist, which helps you see how expansive the retention policy is and how many snapshots are being kept at any moment. Growth rate shows how quickly new snapshots are being created, highlighting whether the policy is expanding rapidly or remaining steady, and helping you detect abrupt changes or misconfigurations. Capacity usage per volume over time shows the actual space impact of those snapshots, since NetApp uses a copy-on-write model where each retained snapshot can contribute to used space as data changes. This metric prevents you from assuming snapshots are small or inconsequential just because counts or rates look acceptable, and it helps forecast when you might approach capacity limits.

If you focus on just one metric, you might miss important nuances—for example, many snapshots with a slow growth rate could still consume substantial space, or a high growth rate with small incremental changes might not yet strain capacity but could in the near term. Looking at all three together gives a complete, practical view of how the snapshot policy is evolving and where attention is needed.

Therefore, reviewing snapshot counts, growth rate, and capacity usage per volume over time provides the most accurate assessment of snapshot policy growth.

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