Answer-first summary for fast verification
Answer: To integrate the model into existing business processes or applications, ensuring compliance with data privacy regulations., To make the trained model accessible for generating predictions or classifications in a production environment, considering scalability and cost-efficiency.
Correct Answers: B and D. Making the trained model accessible for generating predictions or classifications in a production environment, considering scalability and cost-efficiency, and integrating the model into existing business processes or applications, ensuring compliance with data privacy regulations, are the primary goals of model deployment. This phase focuses on operationalizing the model to deliver business value, which involves not just technical implementation but also adherence to regulatory standards and efficient resource use. Incorrect Options: - **A. To define the problem statement and objectives of the machine learning project**: This is part of the initial planning phase, not deployment. - **C. To clean and preprocess the data before it is used for training the model**: These are preparatory steps in the data processing phase, preceding model training and deployment.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
In the context of deploying a machine learning model within a Google Cloud Platform (GCP) environment, which of the following best describes the primary goal and considerations of model deployment? Choose the two most accurate options.
A
To define the problem statement and objectives of the machine learning project.
B
To make the trained model accessible for generating predictions or classifications in a production environment, considering scalability and cost-efficiency.
C
To clean and preprocess the data before it is used for training the model.
D
To integrate the model into existing business processes or applications, ensuring compliance with data privacy regulations.
No comments yet.