AI-901 Questions Answers - Pass AI-901 Test Guide

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Microsoft AI-901 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe Artificial Intelligence workloads and considerations20-25%- Identify features of common AI workloads
  • 1. Document processing and extraction
    • 2. Conversational AI and chatbots
      • 3. Natural language processing use cases
        • 4. Computer vision use cases
          - Responsible AI principles
          • 1. Transparency and accountability
            • 2. Fairness
              • 3. Reliability and safety
                • 4. Privacy and security
                  • 5. Inclusiveness
                    Topic 2: Describe features of natural language processing (NLP) workloads on Azure15-20%- Azure NLP services
                    • 1. Speech services (speech-to-text, text-to-speech)
                      • 2. Azure AI Language
                        - Text analysis
                        • 1. Sentiment analysis
                          • 2. Key phrase extraction
                            • 3. Language detection
                              Topic 3: Describe features of generative AI workloads on Azure10-15%- Generative AI concepts
                              • 1. Prompt engineering basics
                                • 2. Large language models (LLMs)
                                  • 3. Responsible use of generative AI
                                    - Azure OpenAI and generative services
                                    • 1. Azure OpenAI Service capabilities
                                      • 2. Use cases: chatbots, content generation, summarization
                                        Topic 4: Describe features of computer vision workloads on Azure15-20%- Azure AI Vision services
                                        • 1. Face detection and analysis (limited use cases)
                                          • 2. Azure AI Vision
                                            - Image analysis
                                            • 1. Object detection
                                              • 2. Image classification
                                                • 3. Optical character recognition (OCR)
                                                  Topic 5: Describe fundamental principles of machine learning on Azure25-30%- Machine learning concepts
                                                  • 1. Training and evaluation concepts
                                                    • 2. Supervised vs unsupervised learning
                                                      • 3. Regression and classification
                                                        - Azure Machine Learning basics
                                                        • 1. AutoML concepts
                                                          • 2. Azure ML workspace components

                                                            >> AI-901 Questions Answers <<

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                                                            Microsoft Azure AI Fundamentals Sample Questions (Q113-Q118):

                                                            NEW QUESTION # 113
                                                            Drag and Drop Question
                                                            You have a Microsoft Foundry project that contains a model deployment.
                                                            You are developing an application that sends an image and a user question to the model.
                                                            You need to send both text and image content in the same request so the model can return an answer.
                                                            How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
                                                            NOTE: Each correct selection is worth one point.

                                                            Answer:

                                                            Explanation:


                                                            NEW QUESTION # 114
                                                            Select the answer that correctly complete the sentence.

                                                            Answer:

                                                            Explanation:


                                                            NEW QUESTION # 115
                                                            You are using the Azure Speech SDK to develop a Python application that supports real-time spoken conversations. Which Azure Speech class should you use to configure the connection to the Azure Speech service?

                                                            Answer: C

                                                            Explanation:
                                                            To configure the connection to the Azure Speech service, you should use the azure.cognitiveservices.speech.SpeechConfig class.
                                                            Implementation Details
                                                            Initialization: This class holds authentication and endpoint details, such as your Azure resource key and region.
                                                            Usage: You pass this configuration object into your real-time processing classes, like SpeechRecognizer (for speech-to-text) or SpeechSynthesizer (for text-to-speech).
                                                            Reference:
                                                            https://docs.azure.cn/en-us/ai-services/speech-service/how-to-recognize-speech


                                                            NEW QUESTION # 116
                                                            Hotspot Question
                                                            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:


                                                            NEW QUESTION # 117
                                                            Which type of compute resource should you use to attach an existing Azure Kubernetes Service (AKS) cluster to Azure Machine Learning?

                                                            Answer: A

                                                            Explanation:
                                                            To attach an existing Azure Kubernetes Service (AKS) cluster to Azure Machine Learning, you should use the "Attached Compute" or "Kubernetes Compute Target". This allows you to leverage your existing AKS cluster as a compute resource for your machine learning tasks within Azure Machine Learning. You can achieve this using the Azure CLI v2, Python SDK v2, or Machine Learning Studio UI.
                                                            1. Kubernetes Compute Target:
                                                            Azure Machine Learning treats your AKS cluster as a compute target, allowing you to specify it as the location for running your training jobs or deploying models.
                                                            2. Attached Compute:
                                                            This refers to the ability to connect existing compute resources, like your AKS cluster, to your Azure Machine Learning workspace.
                                                            Reference:
                                                            https://learn.microsoft.com/en-us/azure/machine-learning/how-to-attach-kubernetes-to-workspace


                                                            NEW QUESTION # 118
                                                            ......

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