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Which of the following is NOT a common method for deploying machine learning mod

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Question: Which of the following is NOT a common method for deploying machine learning models?

Options:

  1. REST API
  2. Batch processing
  3. Embedded systems
  4. Data warehousing

Correct Answer: Data warehousing

Solution: 

Data warehousing is not a common method for deploying machine learning models; instead, models are typically deployed via REST APIs, batch processing, or embedded systems.

Which of the following is NOT a common method for deploying machine learning mod

Practice Questions

Q1
Which of the following is NOT a common method for deploying machine learning models?
  1. REST API
  2. Batch processing
  3. Embedded systems
  4. Data warehousing

Questions & Step-by-Step Solutions

Which of the following is NOT a common method for deploying machine learning models?
  • Step 1: Understand what deploying machine learning models means. It refers to the process of making a trained model available for use in applications.
  • Step 2: Identify common methods for deploying machine learning models. These include REST APIs, batch processing, and embedded systems.
  • Step 3: Recognize that data warehousing is primarily used for storing and managing large amounts of data, not for deploying models.
  • Step 4: Conclude that since data warehousing is not used for deploying machine learning models, it is the correct answer to the question.
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