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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Features of computer vision workloads on Azure15-20%- Computer vision solutions
  • 1. Image classification
    • 2. Object detection
      • 3. OCR and image analysis
        Topic 2: 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
              Topic 3: Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
              • 1. Supervised vs unsupervised learning
                • 2. Training and validation concepts
                  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 (Q32-Q37):

                      NEW QUESTION # 32
                      To complete the sentence, select the appropriate option in the answer area.

                      Answer:

                      Explanation:

                      Reference:
                      https://docs.microsoft.com/en-us/azure/architecture/data-science-process/create-features


                      NEW QUESTION # 33
                      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

                      Box 1: Yes
                      Azure bot service can be integrated with the powerful AI capabilities with Azure Cognitive Services.
                      Box 2: Yes
                      Azure bot service engages with customers in a conversational manner.
                      Box 3: No
                      The QnA Maker service creates knowledge base, not question and answers sets.
                      Note: You can use the QnA Maker service and a knowledge base to add question-and-answer support to your bot. When you create your knowledge base, you seed it with questions and answers.
                      Reference:
                      https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna


                      NEW QUESTION # 34
                      You have the following dataset.

                      You plan to use the dataset to train a model that will predict the house price categories of houses.
                      What are Household Income and House Price Category? To answer, select the appropriate option in the answer area.
                      NOTE: Each correct selection is worth one point.

                      Answer:

                      Explanation:

                      Explanation

                      Box 1: A feature
                      Box 2: A label
                      Reference:
                      https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results


                      NEW QUESTION # 35
                      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
                      Graphical user interface, text, application, letter, email Description automatically generated


                      NEW QUESTION # 36
                      To complete the sentence, select the appropriate option in the answer area.

                      Answer:

                      Explanation:

                      Reference:
                      https://docs.microsoft.com/en-us/azure/machine-learning/how-to-label-data


                      NEW QUESTION # 37
                      ......

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