Google Exam Professional Machine Learning Engineer Topic 8 Question 65 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 65
Topic #: 8

[All Professional Machine Learning Engineer Questions]

You work for a hospital that wants to optimize how it schedules operations. You need to create a model that uses the relationship between the number of surgeries scheduled and beds used You want to predict how many beds will be needed for patients each day in advance based on the scheduled surgeries You have one year of data for the hospital organized in 365 rows

The data includes the following variables for each day

* Number of scheduled surgeries

* Number of beds occupied

* Date

You want to maximize the speed of model development and testing What should you do?

ACreate a BigQuery table Use BigQuery ML to build a regression model, with number of beds as the target variable and number of scheduled surgeries and date features (such as day of week) as the predictors

BCreate a BigQuery table Use BigQuery ML to build an ARIMA model, with number of beds as the target variable and date as the time variable.

CCreate a Vertex Al tabular dataset Tram an AutoML regression model, with number of beds as the target variable and number of scheduled minor surgeries and date features (such as day of the week) as the predictors

DCreate a Vertex Al tabular dataset Train a Vertex Al AutoML Forecasting model with number of beds as the target variable, number of scheduled surgeries as a covariate, and date as the time variable.

Show Suggested Answer

Suggested Answer: D

This approach would allow you to keep the critical columns of data while reducing the sensitivity of the dataset by removing the personally identifiable information (PII) before training the model. By creating an authorized view of the data, you can ensure that sensitive values cannot be accessed by unauthorized individuals.

by Adell at Oct 08, 2023, 06:02 PM

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