順便提一下，可以從雲存儲中下載Testpdf AI-102考試題庫的完整版：https://drive.google.com/open?id=1iK-kHhRBraV6N1QG2JitBA46hthQRqjx
據調查，現在IT行業認證考試中大家最想參加的是Microsoft的AI-102考試。確實，這是一個非常重要的考試，這個考試已經被公開認證了。此外，這個考試資格可以證明你擁有了高技能。然而，和考試的重要性一樣，這個考試也是非常難的。要想通過考試是很困難的，但是請不要擔心。因為Testpdf可以幫助你通過困難的AI-102認證考試。
Microsoft AI-102是一個認證考試，旨在測試專業人士在Microsoft Azure平台上設計和實施AI解決方案的技能。該考試針對開發人員、數據科學家和AI工程師，他們有使用Azure技術的經驗，並希望驗證他們在設計和實施AI解決方案方面的專業知識。
如果你已經決定通過Microsoft的AI-102考試，Testpdf在這裏，可以幫助你實現你的目標，我們更懂得你需要通過你的Microsoft的AI-102考試，我們承諾是為你高品質的考古題，科學的考試，過Testpdf的Microsoft的AI-102考試。
AI-102認證考試專為負責使用Azure服務設計和實施AI解決方案的個人而設計。考試涵蓋了廣泛的主題，包括自然語言處理，計算機視覺，機器學習以及數據存儲和處理。它還涵蓋用於開發和部署AI解決方案的工具和技術。
為了準備AI-102認證考試，候選人需要對機器學習算法，數據分析和可視化以及雲計算技術有深入的了解。他們還需要深入了解Azure平台及其各種服務，包括Azure認知服務，Azure機器學習和Azure Databricks。
問題 #110
You have a monitoring solution that uses the Azure Al Anomaly Detector service.
You provision a server named Server! that has intermittent internet access.
You need to deploy the Azure Al Anomaly Detector to Server 1.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
答案：
解題說明：
Explanation:
The requirement:
* You are using Azure AI Anomaly Detector.
* You need to deploy it on Server1, which has intermittent internet access.
* This means you need to run the service locally using containers (Docker).
Step 1 - Install Docker Engine
* Before pulling or running any containers, Docker must be installed on Server1.
* Without Docker Engine, no container can be deployed.
Step 2 - Pull the container image
* Use docker pull to download the Anomaly Detector container image from Microsoft Container Registry.
* This requires internet access, so it should be done when connectivity is available.
Step 3 - Run the container
* After pulling the image, use docker run to start the Anomaly Detector container.
* This exposes a local REST API endpoint on Server1.
Step 4 - Query the local endpoint
* Once the container is running, you can query the prediction endpoint on Server1.
* This allows local inference without requiring continuous internet access.
Correct Sequence:
* Install the Docker Engine on Server1.
* From Server1, run the docker pull command.
* From Server1, run the docker run command.
* Query the prediction endpoint on Server1.
* Use Azure AI Anomaly Detector on containers
* Deploy Azure AI services in Docker containers
* Anomaly Detector container setup
問題 #111
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? 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.
答案：
解題說明：
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
問題 #112
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1. You need to use the SDK to call CS1 to identify requests that contain harmful content. How should you complete the code? lo answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point
答案：
解題說明：
問題 #113
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You build a chatbot that will use AI1 to provide generative answers to specific questions.
You need to ensure that the responses are more creative and less deterministic.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
To generate less deterministic and more creative responses with Azure OpenAI chat completions, increase the Temperature setting. Temperature controls sampling randomness: higher values (e.g., ~0.8-1.0) yield more diverse/creative outputs; lower values (~0-0.2) are more deterministic.
The message being sent in the Messages collection is the user's prompt, so the correct role is ChatRole.User .
The role does not control creativity; it only tells the model who authored the message (system/assistant/user
/function). Creativity is governed by parameters such as Temperature (and, to a lesser extent, TopP ).
PresencePenalty biases against repeating seen tokens/topics but does not primarily increase creativity in the intended way.
So the code should look like:
new ChatCompletionsOptions()
{
Messages =
{
new ChatMessage(ChatRole.User, @ " < user prompt here > " ),
},
Temperature = ( float ) 1.0 ,
MaxTokens = 800 ,
};
Microsoft Azure AI Solution References
* Azure OpenAI Service - Chat Completions parameters (Temperature controls randomness/creativity; higher = more diverse results).
* Azure OpenAI Service - Message roles in chat ( system , user , assistant , function ) and their purposes.
* Azure OpenAI Service - Presence/Frequency penalties vs. Temperature (penalties reduce repetition; temperature changes creativity).
問題 #114
You have a mobile app that manages printed forms.
You need the app to send images of the forms directly to Forms Recognizer to extract relevant information. For compliance reasons, the image files must not be stored in the cloud.
In which format should you send the images to the Form Recognizer API endpoint?
答案：B
問題 #115
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AI-102真題: https://www.testpdf.net/AI-102.html
此外，這些Testpdf AI-102考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1iK-kHhRBraV6N1QG2JitBA46hthQRqjx