You have created multiple versions of an ML model and have imported them to Vertex AI Model Registry. You want to perform A/B testing to identify the best performing model using the simplest approach.

The correct answer is A. Split incoming traffic to distribute prediction requests among the versions. Monitor the performance. Vertex AI Model Registry supports traffic splitting across multiple model versions natively, allowing you to distribute prediction requests simply and monitor each version’s performance using built-in Vertex AI monitoring tools. This approach is the simplest and most integrated f

Submitted by noor.lb· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

You have created multiple versions of an ML model and have imported them to Vertex AI Model Registry. You want to perform A/B testing to identify the best performing model using the simplest approach. What should you do?

Options

ASplit incoming traffic to distribute prediction requests among the versions. Monitor the performance
BSplit incoming traffic among Google Kubernetes Engine (GKE) clusters, and use Traffic Director to
CSplit incoming traffic to distribute prediction requests among the versions. Monitor the performance
DSplit incoming traffic among separate Cloud Run instances of deployed models. Monitor the

How the community answered

(39 responses)

A
87% (34)
B
3% (1)
C
8% (3)
D
3% (1)

Explanation

Vertex AI Model Registry supports traffic splitting across multiple model versions natively, allowing you to distribute prediction requests simply and monitor each version’s performance using built-in Vertex AI monitoring tools. This approach is the simplest and most integrated for A/B testing within Vertex AI.

Topics

#A/B testing#Model Deployment#Vertex AI#Traffic Splitting

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