Dynatrace Pro Certification Practice Exam

For how long are time series data intervals stored?

1. 1 month

2. 14 days at 1 minute intervals

3. 1 year

4. 6 months

The correct answer is: 14 days at 1 minute intervals

The correct answer is based on the typical data retention policies for time series data in many monitoring systems, including Dynatrace. Time series data, which records metrics over time, is often retained for a specific duration to balance the need for historical analysis against storage costs and performance. In this context, the statement that time series data intervals are stored for 14 days at 1-minute intervals signifies that data is captured with high granularity for a limited time. This allows for detailed analysis of system performance and application behavior over the most recent period without overwhelming storage systems with excessive historical data. After the 14-day mark, the granularity may decrease or the data may be aggregated, which typically preserves longer-term trends while reducing the overall storage footprint. Understanding this retention policy is critical for effective performance monitoring as it defines the window in which detailed analyses can be performed, helping users identify issues and trends relevant to recent events in their environments.