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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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 2: Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
        • 1. Supervised vs unsupervised learning
          • 2. Training and validation concepts
            Topic 3: Features of computer vision workloads on Azure15-20%- Computer vision solutions
            • 1. OCR and image analysis
              • 2. Object detection
                • 3. Image classification
                  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 (Q13-Q18):

                      NEW QUESTION # 13
                      Match the machine learning models to the appropriate deceptions.
                      To answer, drag the appropriate model from the column on the left to its description on the right Each model may be used once, more than once, or not at all.
                      NOTE: Each correct match is worth one point.

                      Answer:

                      Explanation:


                      NEW QUESTION # 14
                      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 # 15
                      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:
                      # Yes - Extract key phrases
                      # No - Generate press releases
                      # Yes - Detect sentiment
                      The Azure AI Language service is a powerful set of natural language processing (NLP) tools within Azure Cognitive Services, designed to analyze, understand, and interpret human language in text form. According to the Microsoft Azure AI Fundamentals (AI-900) study guide and Microsoft Learn documentation, this service includes several capabilities such as key phrase extraction, sentiment analysis, language detection, named entity recognition (NER), and question answering.
                      * Extract key phrases from documents # YesThe Key Phrase Extraction feature identifies the most relevant words or short phrases within a document, helping summarize important topics. This is useful for indexing, summarizing, or organizing content. For instance, from "Azure AI Language helps analyze customer feedback," it may extract "Azure AI Language" and "customer feedback" as key phrases.
                      * Generate press releases based on user prompts # NoThis functionality falls under generative AI, specifically within Azure OpenAI Service, which uses models such as GPT-4 for text creation. The Azure AI Language service focuses on analyzing and understanding existing text, not generating new content like press releases or articles.
                      * Build a social media feed analyzer to detect sentiment # YesThe Sentiment Analysis capability determines the emotional tone (positive, neutral, negative, or mixed) of text data, making it ideal for analyzing social media posts, reviews, or feedback. Businesses often use this to gauge customer satisfaction or brand reputation.
                      In summary, the Azure AI Language service analyzes text to extract insights and detect sentiment but does not generate new textual content.


                      NEW QUESTION # 16
                      You are building a tool that will process images from retail stores and identify the products of competitors.
                      The solution will use a custom model.
                      Which Azure Cognitive Services service should you use?

                      Answer: C

                      Explanation:
                      Reference:
                      https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview


                      NEW QUESTION # 17
                      To complete the sentence, select the appropriate option in the answer area.

                      Answer:

                      Explanation:


                      NEW QUESTION # 18
                      ......

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