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Question 106/109
You recently used BigQuery ML to train an AutoML regression model. You shared results with your team and received positive feedback. You need to deploy your model for online prediction as quickly as possible. What should you do?
Correct Answer: A
BigQuery ML is a service that allows you to create and train ML models using SQL queries. You can use BigQuery ML to train an AutoML regression model, which is a type of model that automatically selects the best features and architecture for your data. You can also specify Vertex AI as the model registry, which is a service that allows you to store and manage your ML models. By using Vertex AI as the model registry, you can easily deploy your model to a Vertex AI endpoint, which is a service that allows you to serve your ML models online and scale them automatically. By using BigQuery ML, Vertex AI model registry, and Vertex AI endpoint, you can deploy your model for online prediction as quickly as possible, without having to export, import, or retrain your model. References:
* BigQuery ML documentation
* Vertex AI documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
* BigQuery ML documentation
* Vertex AI documentation
* Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate
- Question List (109q)
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- Question 52: You are developing an ML model in a Vertex Al Workbench note...
- Question 53: Your company manages an ecommerce website. You developed an ...
- Question 54: You recently trained an XGBoost model on tabular data You pl...
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- Question 56: Your team is training a large number of ML models that use d...
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- Question 63: You are going to train a DNN regression model with Keras API...
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- Question 65: You work for a company that is developing a new video stream...
- Question 66: You lead a data science team at a large international corpor...
- Question 67: You work for an auto insurance company. You are preparing a ...
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- Question 69: You work for a pharmaceutical company based in Canada. Your ...
- Question 70: You have trained a DNN regressor with TensorFlow to predict ...
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- Question 98: Your organization manages an online message board A few mont...
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- Question 101: You have a functioning end-to-end ML pipeline that involves ...
- Question 102: You recently developed a wide and deep model in TensorFlow. ...
- Question 103: You are building a linear regression model on BigQuery ML to...
- Question 104: You work on the data science team at a manufacturing company...
- Question 105: You work for an online grocery store. You recently developed...
- Question 106: You recently used BigQuery ML to train an AutoML regression ...
- Question 107: You need to train a regression model based on a dataset cont...
- Question 108: You are a data scientist at an industrial equipment manufact...
- Question 109: You built a custom ML model using scikit-learn. Training tim...
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