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Question 161 - Professional Machine Learning Engineer discussion

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You work for a retail company. You have created a Vertex Al forecast model that produces monthly item sales predictions. You want to quickly create a report that will help to explain how the model calculates the predictions. You have one month of recent actual sales data that was not included in the training dataset. How should you generate data for your report?

A.
Create a batch prediction job by using the actual sales data Compare the predictions to the actuals in the report.
Answers
A.
Create a batch prediction job by using the actual sales data Compare the predictions to the actuals in the report.
B.
Create a batch prediction job by using the actual sates data and configure the job settings to generate feature attributions. Compare the results in the report.
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B.
Create a batch prediction job by using the actual sates data and configure the job settings to generate feature attributions. Compare the results in the report.
C.
Generate counterfactual examples by using the actual sales data Create a batch prediction job using the actual sales data and the counterfactual examples Compare the results in the report.
Answers
C.
Generate counterfactual examples by using the actual sales data Create a batch prediction job using the actual sales data and the counterfactual examples Compare the results in the report.
D.
Train another model by using the same training dataset as the original and exclude some columns. Using the actual sales data create one batch prediction job by using the new model and another one with the original model Compare the two sets of predictions in the report.
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D.
Train another model by using the same training dataset as the original and exclude some columns. Using the actual sales data create one batch prediction job by using the new model and another one with the original model Compare the two sets of predictions in the report.
Suggested answer: B

Explanation:

According to the official exam guide1, one of the skills assessed in the exam is to ''explain the predictions of a trained model''.Vertex AI provides feature attributions using Shapley Values, a cooperative game theory algorithm that assigns credit to each feature in a model for a particular outcome2. Feature attributions can help you understand how the model calculates the predictions and debug or optimize the model accordingly.You can use Forecasting with AutoML or Tabular Workflow for Forecasting to generate and query local feature attributions2. The other options are not relevant or optimal for this scenario.Reference:

Professional ML Engineer Exam Guide

Feature attributions for forecasting

Google Professional Machine Learning Certification Exam 2023

Latest Google Professional Machine Learning Engineer Actual Free Exam Questions

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asked 18/09/2024
Ilya Shadrin
37 questions
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