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The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions that need to be completed in 60 minutes. The questions are designed to test your knowledge and skills in the following areas: AI workloads and considerations, fundamental principles of machine learning, computer vision, natural language processing, and conversational AI. You will need to score at least 700 out of 1000 to pass the exam.

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Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals exam, is an entry-level certification exam that focuses on the basics of artificial intelligence and machine learning. AI-900 exam is designed for individuals who want to demonstrate their knowledge of AI and machine learning concepts and how these technologies can be used in Microsoft Azure. AI-900 Exam covers a wide range of topics, including machine learning basics, cognitive services, and bot services.

Microsoft Azure AI Fundamentals Sample Questions (Q172-Q177):

NEW QUESTION # 172
You have the process shown in the following exhibit.

Which type AI solution is shown in the diagram?

Answer: A


NEW QUESTION # 173
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 174
Which metric can you use to evaluate a classification model?

Answer: D

Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification


NEW QUESTION # 175
What is a use case for classification?

Answer: D

Explanation:
Explanation
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-m


NEW QUESTION # 176
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score


NEW QUESTION # 177
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