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The Designing and Implementing a Microsoft Azure AI Solution certification exam covers various topics related to designing and implementing AI solutions using Azure services, including natural language processing, computer vision, speech recognition, and machine learning. AI-102 Exam also covers topics related to data preparation, data wrangling, and data analysis, which are essential skills for designing and implementing AI solutions. Candidates are expected to have a good understanding of Azure services, including Azure Cognitive Services, Azure Machine Learning, and Azure Databricks.
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Microsoft AI-102 certification exam is designed for professionals who want to validate their skills and knowledge in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam focuses on various AI services and tools offered by Azure, including natural language processing, computer vision, speech recognition, and more. Candidates who Pass AI-102 Exam can demonstrate their ability to design and implement AI solutions that can improve business processes, enhance customer experience, and drive innovation.
NEW QUESTION # 269
You need to develop code to upload images for the product creation project. The solution must meet the accessibility requirements.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Graphical user interface, text, application, email Description automatically generated
Reference:
https://github.com/Azure-Samples/cognitive-services-dotnet-sdk-samples/blob/master/documentation-samples/qu
NEW QUESTION # 270
You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model?
Answer: D
NEW QUESTION # 271
You are developing an application that will recognize faults in components produced on a factory production line. The components are specific to your business.
You need to use the Custom Vision API to help detect common faults.
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.
Answer:
Explanation:
Explanation
Graphical user interface, text, application, chat or text message Description automatically generated
Step 1: Create a project
Create a new project.
Step 2: Upload and tag the images
Choose training images. Then upload and tag the images.
Step 3: Train the classifier model.
Train the classifier
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifie
NEW QUESTION # 272
You need to develop code to upload images for the product creation project. The solution must meet the accessibility requirements.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Parameter type: stream
Visual features list: VisualFeatureTypes.Description
Result to use: results.Description.Captions[0]
To generate accessible alt text , you should use the caption produced by Azure Computer Vision's Description feature (it produces a human-readable sentence with a confidence score). Therefore:
The image input should be a stream , because you're uploading images (not just passing URLs) during product creation and AnalyzeImage...Async supports image streams .
Request the Description feature in VisualFeatureTypes so the service returns results.Description.Captions.
Use results.Description.Captions[0] and return the caption text if its confidence is high enough (e.g., > 0.5) to meet the accessibility requirement that all images must have relevant alt text .
Other features (Tags, Objects, Brands) are useful for enrichment but do not directly return natural-language captions suitable for alt text.
Microsoft Azure AI Solution References
Computer Vision (Image Analysis) - Description/Captions and features: Microsoft Docs, Image Analysis - VisualFeatureTypes.Description returns description.captions.
https://learn.microsoft.com/azure/ai-services/computer-vision/concept-image-analysis SDK usage (analyze image from a stream): Microsoft Docs, Analyze an image by using the Computer Vision client library .
https://learn.microsoft.com/azure/ai-services/computer-vision/how-to/call-analyze-image?tabs=version-3-2#analyze-an-image-from-a-stream
NEW QUESTION # 273
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1.
You create a test image that contains a circle.
You submit the test image to CS1 by using the curl command and the following command-line parameters.
What should you expect as the output?
Answer: D
Explanation:
You are analyzing an image with Azure AI Content Safety using the following request payload:
{
" image " : {
" content " : " < base_64_string > "
},
" categories " : [
" Violence "
],
" outputType " : " EightSeverityLevels "
}
* Category specified # " Violence "
* The Content Safety API will check for violent content in the image.
* Test image description # A simple circle.
* This is not violent in any way.
* Output type # " EightSeverityLevels "
* This setting returns a floating-point severity score from 0.0 (no severity) up to 7.0 (highest severity).
* Since the image is only a circle (non-violent), the violence severity level will be at the lowest possible value: 0.0 Key Points: Expected result:
The Answer: B. 0.0
* Azure AI Content Safety - Image moderation
* Content Safety severity levels
Microsoft References
NEW QUESTION # 274
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P.S. Free 2026 Microsoft AI-102 dumps are available on Google Drive shared by FreeDumps: https://drive.google.com/open?id=1OWGb4Wwsgl91BsWb57BQbP3-rvSDhXIl