HP ACNSP HPE7-A02 Question # 24 Topic 3 Discussion

Comprehensive Detailed Explanation

HPE Aruba Networking ClearPass Device Insight (CPDI) uses machine learning to assign endpoints to clusters and provide classification recommendations. For CPDI to automatically classify endpoints, specific thresholds of confidence and supporting classified devices must be met.

The generally required thresholds are:

Minimum Confidence Level: Typically, CPDI requires a recommendation confidence level of at least 95%.

Minimum Supporting Devices: CPDI needs a cluster to include at least 10 classified devices to ensure the recommendation is statistically meaningful.

Analysis of Each Option:

A. 96% confidence with 13 classified devices: Meets both thresholds (confidence > 95% and ≥ 10 devices). CPDI will automatically classify endpoints in this scenario.

B. 98% confidence with 5 classified devices: Confidence level is sufficient, but the cluster lacks the minimum required 10 classified devices. Automatic classification does not occur.

C. 93% confidence with 36 classified devices: The confidence level is below the required 95%. Automatic classification does not occur.

D. 100% confidence with 4 classified devices: Confidence is ideal, but there are insufficient supporting classified devices. Automatic classification does not occur.

References

HPE Aruba ClearPass Device Insight Deployment Guide.

Aruba ClearPass Machine Learning and Device Classification Thresholds.