Exam Name: Microsoft Azure AI Fundamentals

Exam Code: AI-900

Related Certification(s): Microsoft Azure Certification

Certification Provider: Microsoft

Actual Exam Duration: 60 Minutes

Number of AI-900 Practice Questions: 326 (updated: )

Microsoft Recommended Focus Areas for the AI-900 Exam:
Topic 1: Describe Artificial Intelligence workloads and considerations
It identifies specifications of common AI workloads and guiding principles for responsible AI.
Topic 2: Describe fundamental principles of machine learning on Azure
It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine-learning techniques.
Topic 3: Describe features of computer vision workloads on Azure
This topic discusses identifying common types of computer vision solutions, Azure tools, and services for computer vision tasks.
Topic 4: Describe features of Natural Language Processing (NLP) workloads on Azure
In this topic, questions about common NLP workload scenarios, features, Azure tools, and services for NLP workloads appear.
Topic 5: Describe features of generative AI workloads on Azure
Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Free Microsoft AI-900 Exam Actual Questions
Note: Microsoft AI-900 Premium Questions were last updated on

Q1. A company employs customer service agents to provide phone and email support. The company develops a webchat bot to answer common customer queries. What benefit should the company expect?

Q2. For a machine learning project, how should you split data for training and evaluation?

Q3. In a confusion matrix used for classification models, what does a True Positive (TP) represent?

Q4. You build a machine learning model using automated machine learning in Azure. How can you ensure transparency in the model?

Q5. Which scenario is an example of anomaly detection?