
Training AutoML Models Using Vertex AI
Authored by Jake Catron
Instructional Technology
Professional Development

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9 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
For a user who can use SQL, has little Machine Learning experience and wants a ‘Low-Code’ solution, which Machine Learning framework should they use?
AutoML
Python
Scikit-Learn
BigQuery ML
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following metrics can be used to find a suitable balance between precision and recall in a model?
F1 Score
ROC AUC
Log Loss
PR AUC
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the default setting in AutoML Tables for the data split in model evaluation?
80% Training, 15% Validation, 5% Testing
80% Training, 5% Validation, 15% Testing
70% Training, 20% Validation, 10% Testing
80% Training 10% Validation, 10% Testing
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following are stages of the Machine Learning workflow that can be managed with Vertex AI?
Create a dataset and upload data.
Train an ML model on your data
All of the options
Deploy your trained model to an endpoint for serving predictions.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the Feature Importance attribution in Vertex AI display?
How much each feature impacts the model, expressed as a ranked list
How much each feature impacts the model, expressed as a percentage
How much each feature impacts the model, expressed as a decimal
How much each feature impacts the model, expressed as a ratio
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main benefit of using an automated Machine Learning workflow?
It makes the model run faster
It deploys the model into production
It reduces the time it takes to develop trained models and assess their performance
It makes the model perform better
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
MAE, MAPE, RMSE, RMSLE and R2 are all available as test examples in the Evaluate section of Vertex AI and are common examples of what type of metric?
Decision Trees Progression Metrics
Linear Regression Metrics
Clustering Regression Metrics
Forecasting Regression Metrics
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