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The AI-102 Certification Exam is an advanced-level certification that requires a deep understanding of Microsoft Azure and AI technologies. Candidates who pass AI-102 exam will be able to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. They will also be able to use their knowledge to help organizations leverage AI technologies to improve their business processes and gain a competitive edge in the market.
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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Exam is a certification exam that focuses on testing the skills and knowledge of a candidate in designing and implementing AI solutions using Microsoft Azure. AI-102 Exam is intended for individuals who have experience in working with Azure AI services and tools and want to obtain an official certification from Microsoft.
NEW QUESTION # 107
You have an Azure subscription.
You plan to build a solution That will analyze scanned documents and export relevant fields to a database.
You need to recommend which Azure Al service to deploy for the following types of documents:
* Internal expenditure request authorization forms
* Supplier invoices
The solution must minimize development effort.
What should you recommend for each document type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point
Answer:
Explanation:
Explanation:
NEW QUESTION # 108
You plan to use a Language Understanding application named app1 that is deployed to a container.
App1 was developed by using a Language Understanding authoring resource named lu1.
App1 has the versions shown in the following table.
You need to create a container that uses the latest deployable version of app1.
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. (Choose three.)
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 109
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 110
You use the Custom Vision service to build a classifier.
After training is complete, you need to evaluate the classifier.
Which two metrics are available for review? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
The question is about evaluating a Custom Vision classifier after training.
When you train an image classifier in Azure Custom Vision, the service automatically calculates performance metrics to help you evaluate the quality of the model.
* Precision:
* The percentage of correct positive predictions out of all positive predictions made.
* Formula: Precision = TP / (TP + FP)
* Helps determine how reliable positive predictions are.
* Recall:
* The percentage of actual positives that were correctly predicted.
* Formula: Recall = TP / (TP + FN)
* Helps determine how many of the true positives were captured.
Metrics Provided by Custom Vision:These two metrics are explicitly shown in the Custom Vision portal and via API.
* A. Recall
* Yes, Custom Vision reports recall.
* Correct
* B. F-score
* Not directly reported in the Custom Vision portal.
* Although it can be derived from precision and recall, it is not provided as a direct metric.
* Incorrect
* C. Weighted accuracy
* Not reported by Custom Vision.
* Incorrect
* D. Precision
* Yes, Custom Vision reports precision.
* Correct
* E. Area under the curve (AUC)
* Not reported by Custom Vision.
* More common in ROC curve analysis, not part of Custom Vision output.
* Incorrect
Option Analysis
The answer: A. recall, D. precision
* Evaluate the prediction performance of your classifier in Custom Vision
* Custom Vision training and evaluation
NEW QUESTION # 111
You have an app that uses Azure Al and a custom trained classifier to identity products in images. You need to add new products to the classifier. The solution must meet the following requirements:
* Minimize how long it takes to add the products
* Minimize development effort.
Which five 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:
To quickly add new product classes to an existing image classifier with minimal development effort, use the Custom Vision portal workflow. Vision Studio and Azure Machine Learning studio are not required for Custom Vision projects. The standard lifecycle to update a classifier is: open the project, add/upload images, label them with the correct tags, retrain to incorporate the new labels, and publish the updated iteration so the app can consume the new model via the Prediction endpoint.
Microsoft Azure AI Solution References
Azure AI Services - Custom Vision : add images, tag, train, and publish iterations from the portal.
Custom Vision documentation - Quickstart: Build a classifier in the Custom Vision website (steps: create
/open project, upload images, tag, train, publish).
NEW QUESTION # 112
......
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