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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
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
            Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
            • 1. Responsible AI principles
              • 2. Common AI workloads
                Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
                • 1. Sentiment analysis
                  • 2. Key phrase extraction
                    • 3. Language modeling and translation

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                      Microsoft Azure AI Fundamentals Sample Questions (Q255-Q260):

                      NEW QUESTION # 255
                      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/architecture/reference-architectures/ai/conversational-bot
                      https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0


                      NEW QUESTION # 256
                      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 # 257
                      Match the facial recognition tasks to the appropriate questions.
                      To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
                      NOTE: Each correct selection is worth one point.

                      Answer:

                      Explanation:

                      Reference:
                      https://azure.microsoft.com/en-us/services/cognitive-services/face/#features


                      NEW QUESTION # 258
                      Match the types of AI workloads to the appropriate scenarios.
                      To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
                      NOTE: Each correct selection is worth one point.

                      Answer:

                      Explanation:

                      Explanation:

                      Box 3: Natural language processing
                      Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
                      Reference:
                      https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


                      NEW QUESTION # 259
                      Select the answer that correctly completes the sentence.

                      Answer:

                      Explanation:


                      NEW QUESTION # 260
                      ......

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