Observability & Evaluation · Data artifact
Random Evaluation Sampling Policy
Data artifactObservability & EvaluationObservability & Evaluationarc:RandomEvaluationSamplingPolicy
An evaluation sampling policy that selects a uniform random fraction of production traces for evaluation.
Responsibility. Selects a representative random subset of production interactions for evaluation.
Also known as: 10% random sample, Representative feedback sampling
Variant of Evaluation Sampling Policy abstract
When to choose. Choose when a representative baseline-quality estimate is needed with no production latency impact.
Relationships
configures structural
- Feedback Collector abstract Ch10.5
alternative to variability
Quantitative guidance
As stated by the sources; verify before use.
- 10% random sample costs ~0.2-0.5% of inference cost with no production latency impact (Ref8.03).
Classification
- Patterns
- Random sampling
- Quality attributes
- Cost efficiencyPerformance efficiency (ISO/IEC 25010)
Sources
- Ch10.5: T. Nguyen, "Human-over-the-Loop," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.5. ISBN: 9798244538229.
- Ref8.03: "Agent Evaluation Frameworks and Metrics," unpublished reference note (03-Agent-Evaluation-Frameworks.md), Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam supplementary materials, 2026. unpublished note