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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Price: | $165 USD |
| Exam Format: | Case studies, Active screen questions, Multiple-choice, Drag-and-drop |
| Exam Duration: | 120 minutes |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Passing Score: | 700 (on a scale of 1-1000) |
| Real Exam Qty: | 40-60 |
| Available Languages: | Korean, English, Chinese (Simplified), Japanese |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
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問題 #146
You are building a model that will be used in an iOS app.
You have images of cats and dogs. Each image contains either a cat or a dog.
You need to use the Custom Vision service to detect whether the images is of a cat or a dog.
How should you configure the project in the Custom Vision portal? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Reference:
https://cran.r-project.org/web/packages/AzureVision/vignettes/customvision.html
問題 #147
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM. DI1 uses the Standard SO pricing tier You have the files shown in the following table.
Which files can you analyze by using DI1?
答案：E
解題說明：
Azure AI Document Intelligence (Standard S0) enforces input constraints: images must be between 50×50 and 10,000×10,000 pixels and typical file size limits apply (images/PDFs well below hundreds of MB; an
800-MB PDF is far beyond supported sizes).
* File1.pdf (800 MB) - exceeds supported size limits # cannot be analyzed.
* File2.jpg (25×25 px) - below the 50×50 px minimum # cannot be analyzed.
* File3.tiff (5,000×5,000 px; 5 MB) - within pixel and size limits # can be analyzed.
References
* Document Intelligence service limits (file size/page and image dimension constraints).https://learn.
microsoft.com/azure/ai-services/document-intelligence/concept-limits
* Document Intelligence supported file types.https://learn.microsoft.com/azure/ai-services/document- intelligence/overview#supported-formats
問題 #148
You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
Which three 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:
問題 #149
You have an Azure subscription that has the following configurations:
* Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
* Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? 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:
問題 #150
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
Control access to the container images by using Azure role-based access control (Azure RBAC).
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. (Choose four.) NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
答案：
解題說明：
Explanation
Step 1: Pull the Anomaly Detector container image.
Step 2: Create a custom Dockerfile
Step 3: Build the image
Step 4: Push the image to an Azure container registry.
https://docs.microsoft.com/en-us/azure/cognitive-services/containers/container-reuse-recipe
問題 #151
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