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Microsoft AI-900 : Microsoft Azure AI Fundamentals

AI-900

Exam Code: AI-900

Exam Name: Microsoft Azure AI Fundamentals

Updated: Oct 22, 2026

Q & A: 336 Questions and Answers

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Exam Details

The Microsoft AI-900 exam is the only qualifying test that leads to the Microsoft Certified: Azure AI Fundamentals certification. It measures one’s knowledge of AI considerations & workloads, features of NLP workloads on Azure, and basic principles of ML on Azure. The candidates can choose to take this exam in English, French, Simplified Chinese, Japanese, German, Spanish, or Korean. It contains 40-60 questions covering different types, including case studies, drag and drop, active screen, build list, and multiple choice. You can schedule your test with Certiport or Pearson VUE. However, it is required to pay the fee of $99 before scheduling it.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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Exam AI-900: Microsoft Azure AI Fundamentals

Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure AI Fundamentals

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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
  • 1. Responsible AI principles
    • 2. Common AI workloads
      Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
      • 1. Training and validation concepts
        • 2. Supervised vs unsupervised learning
          Features of computer vision workloads on Azure15-20%- Computer vision solutions
          • 1. OCR and image analysis
            • 2. Image classification
              • 3. Object detection
                Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
                • 1. Language modeling and translation
                  • 2. Key phrase extraction
                    • 3. Sentiment analysis

                      Microsoft Azure AI Fundamentals Sample Questions:

                      Question #1
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.


                      Question #2
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.


                      Question #3
                      You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script. You need to generate a narration audio file for each video based on the script. Which type of workload should you use?

                      A. translation
                      B. speech recognition
                      C. speech synthesis
                      D. language modeling


                      Question #4
                      Your website has a chatbot to assist customers.
                      You need to detect when a customer is upset based on what the customer types in the chatbot.
                      Which type of AI workload should you use?

                      A. regression
                      B. semantic segmentation
                      C. anomaly detection
                      D. natural language processing


                      Question #5
                      What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
                      NOTE: Each correct selection is worth one point.

                      A. inclusiveness
                      B. opinionatedness
                      C. reliability and safety
                      D. decisiveness
                      E. fairness
                      F. knowledgeability


                      Solutions:

                      Question #1
                      Correct Answer: Only visible for members
                      Question #2
                      Correct Answer: Only visible for members
                      Question #3
                      Correct Answer: C
                      Question #4
                      Correct Answer: D
                      Question #5
                      Correct Answer: A,C,E

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