CertNexus Exam AIP-210 Topic 6 Question 38 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 38
Topic #: 6

The graph is an elbow plot showing the inertia or within-cluster sum of squares on the y-axis and number of clusters (also called K) on the x-axis, denoting the change in inertia as the clusters change using k-means algorithm.

What would be an optimal value of K to ensure a good number of clusters?

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Suggested Answer: B

Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]

by Rosalind at Feb 09, 2025, 02:15 AM

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Eric

4 days ago

I think the optimal value of K would be 3. The elbow plot shows a clear bend in the curve at K=3, indicating that adding more clusters beyond that point doesn't significantly improve the inertia.

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