P.S. KaoGuTi在Google Drive上分享了免費的2026 Microsoft AI-900考試題庫：https://drive.google.com/open?id=1NFqeSeok2WT0C8Fm4BgNTQU1bAG-6Oi6
隨著AI-900考試的變化，KaoGuTi已經跟新了考試問題和答案，包括一些新增的問題，通過使用更新版本的Microsoft AI-900考古題，您可以輕松快速的通過考試，還節約寶貴的時間。獲得AI-900認證之后，您的職業生涯也將開始新的輝煌時期。購買我們的Microsoft AI-900題庫資料可以保證考生一次性通過考試，這是值得大家信賴的題庫網站，可以幫大家減少考試成本，節約時間，是上班族需要獲取AI-900認證的最佳選擇。
要通過AI-900考試，候選人需要證明他們對AI基本面的了解以及將AI概念應用於現實世界情景的能力。考試包括40-60個多項選擇和多回答問題，候選人有60分鐘的時間來完成考試。微軟建議在參加考試之前，候選人在Azure服務方面有一些經驗以及對編程概念的基本理解。
Microsoft 的 AI-900 考古題是從Prometric或VUE考試中心取得的最新原始考題，由資深講師和技術專家精心打造的完美產品，保證了 AI-900 產品的高品質和真實性。已經幫助很多考生成功通過考試，擁有了KaoGuTi AI-900 考題您就可以實現理想，適合全球考生都能通用的模擬試題。因為最新的 AI-900 擬真試題可以為你的複習和看書減輕很多的煩惱。
Microsoft AI-900：Microsoft Azure AI Fundamentals 是一項考試，測試一個人對人工智能（AI）基礎知識及其在 Microsoft Azure 上實施的知識。此考試對於那些希望探索 AI 的世界及其潛在應用的人來說是一個出色的起點。 AI 是一個快速發展的領域，此考試為個人提供了獲得 AI 基礎知識和其對我們日常生活的影響的機會。
獲得Microsoft AI-900認證需要通過40-60道題目的考試，該考試提供多種語言。這是驗證您對AI的理解並向潛在雇主展示您技能的好方法。此認證還可作為通往其他更高級別Azure認證（如Azure數據科學家副專業人員和Azure AI工程師副專業人員）的跳板。
問題 #186
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.
For each of the following Statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
問題 #187
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Reference:
https://docs.microsoft.com/en-gb/azure/cognitive-services/text-analytics/overview
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-services/ You can use the Speech service to transcribe a call to text - Yes we can use Speech to Text API to achieve this
https://docs.microsoft.com/en-us/learn/modules/recognize-synthesize-speech/1-introduction You can use a speech service to translate the audio of a call to a different language - Yes we can use Speech translation service to achieve this The Speech service includes the following application programming interfaces (APIs):
Speech-to-text - used to transcribe speech from an audio source to text format.
Text-to-speech - used to generate spoken audio from a text source.
Speech Translation - used to translate speech in one language to text or speech in another.
https://docs.microsoft.com/en-us/learn/modules/translate-text-with-translation-service/2-get-started-azure You can use text analytics service to extract key entities from a call transcript -Yes Text Analytics API helps to achieve this
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure
問題 #188
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
問題 #189
To complete the sentence, select the appropriate option in the answer area.
答案：
解題說明：
Explanation:
facial analysis.
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Describe features of computer vision workloads on Azure," facial analysis is a computer vision capability that detects faces and extracts attributes such as facial expressions, emotions, pose, occlusion, and image quality factors like exposure and noise. It does not identify or verify individual identities; rather, it interprets facial features and image characteristics to analyze conditions in an image.
In this question, the AI solution helps photographers take better portrait photos by providing feedback on exposure, noise, and occlusion - tasks directly linked to facial analysis. The model analyzes the detected face to determine if the image is well-lit, clear, and unobstructed, thereby improving photo quality. These capabilities are part of the Azure Face service in Azure Cognitive Services, which includes both facial detection and facial analysis functionalities.
Here's how the other options differ:
* Facial detection only identifies that a face exists in an image and provides its location using bounding boxes, without further interpretation.
* Facial recognition goes a step further - it attempts to identify or verify a person's identity by comparing the detected face with stored images. This is not what the scenario describes.
Thus, when an AI solution evaluates image quality aspects like exposure, noise, and occlusion, it's performing facial analysis, which focuses on understanding image and facial characteristics rather than identification.
In summary, based on Microsoft's AI-900 study material, this scenario demonstrates facial analysis, a subcategory of computer vision tasks within Azure Cognitive Services.
問題 #190
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0
問題 #191
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AI-900資訊: https://www.kaoguti.com/AI-900_exam-pdf.html
P.S. KaoGuTi在Google Drive上分享了免費的2026 Microsoft AI-900考試題庫：https://drive.google.com/open?id=1NFqeSeok2WT0C8Fm4BgNTQU1bAG-6Oi6