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AI-900 Exam Questions and Core Topics
The following AI-900 Exam Topics are covered in our Premium Full version.
Describe / Outline how machine learning algorithms are used for model training/ Identify / Classify common machine learning types
Identify / Classify features of image classification solutions/ Identify / Classify features of common AI workloads
Identify / Classify conversational AI workloads Identify / Classify guiding principles for responsible AI/ Identify / Classify prediction/forecasting workloads
Select and interpret model evaluation metrics for classification and regression/ Identify / Classify clustering machine learning scenarios
Describe / Outline how training and validation datasets are used in machine learning/ Identify / Classify features of anomaly detection workloads
Identify / Classify features of semantic segmentation solutions/ Identify / Classify natural language processing or knowledge mining workloads
Describe / Outline fundamental principles of machine learning on Azure/ Identify / Classify core tasks in Creating / Constructing a machine learning solution
Describe / Outline features of computer vision workloads on Azure/ Describe / Outline considerations for privacy and security in an AI solution
Identify / Classify features of object detection solutions/ Identify / Classify features and labels in a data set for machine learning
Describe / Outline considerations for reliability and safety in an AI solution/ Identify / Classify classification machine learning scenarios
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