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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Duration: | 100 minutes |
| Available Languages: | Arabic (Saudi Arabia), Japanese, Portuguese (Brazil), Chinese (Simplified), Italian, German, Spanish, French, Indonesian, Korean, English |
| Exam Format: | Multiple choice, Performance-based scenarios, Drag-and-drop, Multiple select, Case studies, Hot area |
| Passing Score: | 700 (scaled score out of 1000) |
| Exam Price: | $165 USD (varies by region: ยฃ113 GBP, โฌ126 EUR) |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals (AI-900) Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure Data Scientist Associate |
| Certificate Validity Period: | 1 year (renewable via free online assessment) |
| Real Exam Qty: | 40-60 |
| Recommended Training: | AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Microsoft Learn Learning Paths for AI-102 |
| Exam Registration: | Pearson VUE Scheduling Microsoft Certification Exam Registration |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | Online proctored (OnVUE) or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended: experience with Azure services, AI concepts, and proficiency in Python or C#; AI-900 certification is recommended but not required |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102 |
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NEW QUESTION # 326
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You create a new model, and then upload the new images and labels.
Does this meet the goal?
Answer: B
Explanation:
Scenario Recap:
* Application: Flower classification.
* Solution: Create a new model, and then upload the new images and labels.
Analysis:
* Creating a new model from scratch is not the correct approach for adding species to an existing classifier.
* The goal is to extend the existing model, not reset and rebuild a new one.
* This would waste training data and is not aligned with Custom Vision usage.
The answer: B. No
NEW QUESTION # 327
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 328
You have 1,000 scanned images of hand-written survey responses. The surveys do NOT have a consistent layout.
You have an Azure subscription that contains an Azure Al Document Intelligence resource named Aldoc1.
You open Document Intelligence Studio and create a new project.
You need to extract data from the survey responses. The solution must minimize development effort.
To where should you upload the images, and which type of model should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Upload to: An Azure Storage account
* Model type: Custom neural
You have 1,000 scanned hand-written survey responses with no consistent layout. The goal is to extract data while minimizing development effort.
Step 1: Upload location
* For Azure AI Document Intelligence (formerly Form Recognizer), training data (images, PDFs) must be placed in a container in an Azure Storage account.
* Options like Cosmos DB or Azure Files share are not valid training data sources for Document Intelligence.
* Therefore, you upload the survey images to Azure Storage account.
Step 2: Model type
* The surveys are handwritten and do not have a consistent layout.
* Custom template models work only when the layout is fixed and consistent (e.g., invoices with the same fields in the same place).
* Identity document (ID) model is a prebuilt model for passports, driver's licenses, etc., not for surveys.
* Custom neural model is designed to handle unstructured or variable-layout forms, including handwritten content. This best fits the survey scenario.
Thus, the correct configuration is:
* Upload to Azure Storage account
* Use Custom neural model
* Upload to: An Azure Storage account
* Model type: Custom neural
* Azure AI Document Intelligence - Custom models
* Custom neural vs custom template models
* Train a custom model with Azure Storage input
Microsoft References
NEW QUESTION # 329
You are developing a webpage that will use the Video Indexer service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
Ensure that users can search for keywords.
Display the names and faces of people in the video.
Show captions in the video in English (United States).
How should you complete the URL for each widget? 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 # 330
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure Ai Video Indexer. Which files can you upload to the Video Indexer website?
Answer: A
NEW QUESTION # 331
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