Google Cloud Digital Leader Practice Exam

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What is the primary purpose of using pre-trained APIs on Google Cloud?

To build complex ML models from scratch

To utilize models that have already been built and trained

The primary purpose of using pre-trained APIs on Google Cloud is to utilize models that have already been built and trained. These pre-trained APIs leverage machine learning models that have undergone extensive training using large datasets, enabling users to harness powerful machine learning capabilities without needing to develop and train a model themselves. This approach significantly reduces the time and resources required to implement machine learning applications.

By using pre-trained APIs, developers can quickly integrate advanced features such as natural language processing, image recognition, and translation into their applications, allowing them to focus on building their products rather than on the complexities of model training. This is especially beneficial for organizations that may lack the specialized knowledge or computing resources required to develop and maintain machine learning models from scratch.

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To manage hardware resources

To ensure data security

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