AI-900赤本勉強 & AI-900資格模擬

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Microsoft AI-900 Exam Syllabus Topics:

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

                      >> AI-900赤本勉強 <<

                      AI-900資格模擬、AI-900出題内容

                      AI-900の実際の学習ガイド資料は、より良いレビューを得るのに役立ちます。これは非常に直感的な標準ですが、包括的ではない場合があるため、テストAI-900認定を取得することの重要性を知っておく必要があります。自分の能力を証明するのに十分な資格を持っている場合にのみ、厳しい現実の中で敵を打ち負かすことができます。 AI-900の実際の質問は、AI-900認定試験に合格し、認定資格をより迅速かつ効率的に取得するのに役立つと考えています。

                      Microsoft Azure AI Fundamentals 認定 AI-900 試験問題 (Q274-Q279):

                      質問 # 274
                      Which scenario is an example of a webchat bot?

                      正解:C

                      解説:
                      According to the Microsoft Azure AI Fundamentals (AI-900) official study materials, a webchat bot is defined as a conversational AI application that interacts with users through a web-based chat interface. It simulates human conversation using text (and sometimes voice) to answer questions, assist with transactions, or provide information automatically. Microsoft Learn's "Describe features of common AI workloads" module highlights conversational AI as a major AI workload, where bots and virtual agents are used to provide automated, intelligent responses in real time through web, mobile, or messaging platforms.
                      In this scenario, the chatbot on the festival website provides immediate answers about scheduled events and ticket purchases. This aligns exactly with how a webchat bot operates - interacting with users through a website, handling repetitive inquiries, and providing consistent information without human intervention. This type of solution is commonly built using Azure Bot Service integrated with Azure Cognitive Services for Language, which allows the bot to understand user intent and respond naturally.
                      Let's examine the other options to reinforce why D is correct:
                      * A describes a text analytics or sentiment analysis scenario, not a conversational bot, because it classifies text sentiment but doesn't "chat" with a user.
                      * B is an example of machine translation using the Translator service, not a chatbot.
                      * C is an email classification or natural language processing task, not a webchat interaction.
                      The AI-900 exam objectives clearly distinguish conversational AI from other cognitive services such as translation or sentiment analysis. Conversational AI focuses on dialogue and interaction through natural language conversation channels like websites or messaging apps.
                      Therefore, the verified and officially aligned answer is D. From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.


                      質問 # 275
                      To complete the sentence, select the appropriate option in the answer area.

                      正解:

                      解説:

                      Reference:
                      https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home custom vision - This is a type of computer vision service which helps in building/training models using user provided data Creating an object detection solution with Custom Vision consists of three main tasks. First you must use upload and tag images, then you can train the model, and finally you must publish the model so that client applications can use it to generate predictions.
                      https://docs.microsoft.com/en-us/learn/modules/detect-objects-images-custom-vision/2-object-detection-azure


                      質問 # 276
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.

                      正解:

                      解説:

                      Explanation:

                      Box 1: Yes
                      Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
                      Box 2: No
                      A data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy.
                      Box 3: No
                      Inclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.
                      Reference:
                      https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai


                      質問 # 277
                      To complete the sentence, select the appropriate option in the answer area.

                      正解:

                      解説:

                      Explanation:
                      Reliability & Safety
                      https://en.wikipedia.org/wiki/Tay_(bot)
                      "To build trust, it's critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation. It's also important to be able to verify that these systems are behaving as intended under actual operating conditions. How they behave and the variety of conditions they can handle reliably and safely largely reflects the range of situations and circumstances that developers anticipate during design and testing. We believe that rigorous testing is essential during system development and deployment to ensure AI systems can respond safely in unanticipated situations and edge cases, don't have unexpected performance failures, and don't evolve in ways that are inconsistent with original expectations"


                      質問 # 278
                      For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                      NOTE: Each correct selection is worth one point.

                      正解:

                      解説:


                      質問 # 279
                      ......

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