Struggling with Azure AI-900 exam questions on ML frameworks? Discover why PyTorch and TensorFlow are correct answers for Azure-supported models. Get expert explanations and pass confidently.
Table of Contents
Question
Which of the following are common frameworks used for machine learning data models supported by Azure Machine Learning? (Choose all that apply.)
A. Pyramid
B. BeautifulSoup
C. PyTorch
D. TensorFlow
E. Django
Answer
C. PyTorch
D. TensorFlow
Explanation
PyTorch and TensorFlow are popular deep learning frameworks widely used for building and training machine learning models. Azure Machine Learning supports them seamlessly, allowing users to leverage their existing expertise and tools.
BeautifulSoup is primarily used for web scraping and data extraction and is not directly related to building machine learning models. BeautifulSoup itself is not a framework used for building data models.
Django is a high-level web framework for building secure and scalable web applications. It is not a framework used for building data models.
Pyramid is an object-oriented framework for large-scale, complex web applications. It is not a framework used for building data models.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.