Google Professional Machine Learning Engineer
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You are a Machine Learning Engineer working on a project that requires deploying models on Google Cloud Platform's Vertex AI. The project's goal is to leverage Explainable AI to understand the most essential features and their influence on the model predictions. The team is considering various model types for deployment. Given the constraints of cost, compliance, and the need for scalability, which of the following models can you apply Vertex Explainable AI to for achieving the project's objectives? (Select three options)
A
Image Classification models, which are complex and benefit from Explainable AI for understanding feature influence.
B
Decision Tree models, which are inherently interpretable and do not require Explainable AI for understanding.
C
AutoML tables for structured data, which supports Explainable AI for feature attribution.
D
Deep Neural Networks (DNN), which are complex and can leverage Explainable AI for insights into decision-making processes.
E
None of the above.