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Question 216 - Professional Machine Learning Engineer discussion

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You built a deep learning-based image classification model by using on-premises data. You want to use Vertex Al to deploy the model to production Due to security concerns you cannot move your data to the cloud. You are aware that the input data distribution might change over time You need to detect model performance changes in production. What should you do?

A.
Use Vertex Explainable Al for model explainability Configure feature-based explanations.
Answers
A.
Use Vertex Explainable Al for model explainability Configure feature-based explanations.
B.
Use Vertex Explainable Al for model explainability Configure example-based explanations.
Answers
B.
Use Vertex Explainable Al for model explainability Configure example-based explanations.
C.
Create a Vertex Al Model Monitoring job. Enable training-serving skew detection for your model.
Answers
C.
Create a Vertex Al Model Monitoring job. Enable training-serving skew detection for your model.
D.
Create a Vertex Al Model Monitoring job. Enable feature attribution skew and dnft detection for your model.
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D.
Create a Vertex Al Model Monitoring job. Enable feature attribution skew and dnft detection for your model.
Suggested answer: C

Explanation:

Vertex AI Model Monitoring is a service that allows you to monitor the performance and quality of your ML models in production. You can use Vertex AI Model Monitoring to detect changes in the input data distribution, the prediction output distribution, or the model accuracy over time. Training-serving skew detection is a feature of Vertex AI Model Monitoring that compares the statistics of the data used for training the model and the data used for serving the model. If there is a significant difference between the two data distributions, it indicates that the model might be outdated or inaccurate. By enabling training-serving skew detection for your model, you can detect model performance changes in production and trigger retraining or redeployment of your model as needed. This way, you can ensure that your model is always up-to-date and accurate, without moving your data to the cloud.Reference:

Vertex AI Model Monitoring documentation

Training-serving skew detection documentation

Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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asked 18/09/2024
carlos miyares
22 questions
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