Free PDF Quiz 2026 Microsoft Trustable AI-900: Latest Microsoft Azure AI Fundamentals Exam Simulator

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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
  • 1. Training and validation concepts
    • 2. Supervised vs unsupervised learning
      Topic 2: Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
      • 1. Key phrase extraction
        • 2. Language modeling and translation
          • 3. Sentiment analysis
            Topic 3: Features of computer vision workloads on Azure15-20%- Computer vision solutions
            • 1. Image classification
              • 2. Object detection
                • 3. OCR and image analysis
                  Topic 4: Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
                  • 1. Common AI workloads
                    • 2. Responsible AI principles

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                      Microsoft Azure AI Fundamentals Sample Questions (Q195-Q200):

                      NEW QUESTION # 195
                      Select the answer that correctly completes the sentence.

                      Answer:

                      Explanation:

                      Explanation:


                      NEW QUESTION # 196
                      Select the answer that correctly completes the sentence.

                      Answer:

                      Explanation:


                      NEW QUESTION # 197
                      Select the answer that correctly completes the sentence.

                      Answer:

                      Explanation:

                      Explanation:


                      NEW QUESTION # 198
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.

                      Answer:

                      Explanation:

                      Explanation
                      A screenshot of a computer Description automatically generated with medium confidence

                      Box 1: Yes
                      Custom Vision functionality can be divided into two features. Image classification applies one or more labels to an image. Object detection is similar, but it also returns the coordinates in the image where the applied label(s) can be found.
                      Box 2: Yes
                      The Custom Vision service uses a machine learning algorithm to analyze images. You, the developer, submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then, the algorithm trains to this data and calculates its own accuracy by testing itself on those same images.
                      Box 3: No
                      Custom Vision service can be used only on graphic files.
                      Reference:
                      https://docs.microsoft.com/en-us/azure/cognitive-services/Custom-Vision-Service/overview


                      NEW QUESTION # 199
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.

                      Answer:

                      Explanation:

                      Reference:
                      https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector


                      NEW QUESTION # 200
                      ......

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