What effect do data rollups have on long-term performance data analysis in NPM?

What effect do data rollups have on long-term performance data analysis in NPM?

• A. Rollups reduce data resolution over time, improving storage and query performance for long-term trend analysis while preserving summary trends.
• B. Rollups increase data detail over time.
• C. Rollups delete data after a fixed period.
• D. Rollups duplicate data across databases.

Answer: (A)

Data rollups in NPM summarize older performance data by grouping fine-grained samples into larger time windows. As data ages, the resolution is reduced, which lowers storage needs and speeds up long-term queries. Crucially, the rolled-up values keep the essential trend information by preserving summary statistics (like average, min, max, and total), so you can analyze long-term behavior accurately without keeping every single data point. They don’t increase detail over time, don’t delete data by default, and don’t duplicate data across databases.

Data rollups in NPM summarize older performance data by grouping fine-grained samples into larger time windows. As data ages, the resolution is reduced, which lowers storage needs and speeds up long-term queries. Crucially, the rolled-up values keep the essential trend information by preserving summary statistics (like average, min, max, and total), so you can analyze long-term behavior accurately without keeping every single data point. They don’t increase detail over time, don’t delete data by default, and don’t duplicate data across databases.