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Microsoft Azure AI Engineer Associate AI-102 Practice Test

988 questions with instant explanations, domain breakdown, and wrong-answer analysis. Built for the real exam.

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Real exam: 100 min
Pass mark: 700%

Sample questions with explanations

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Q1Plan and manage an Azure AI solutionmedium
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A company plans to deploy an Azure AI solution that processes sensitive customer data. The solution must comply with GDPR and ensure data residency within the European Union. Which Azure resource configuration should be used?

ADeploy the Azure AI services in multiple regions globally and use geo-replication.
BUse the Azure AI services 'Data Residency' SKU.
CUse the Free tier of Azure AI services.
Create an Azure AI services resource in a specific EU region and set the data residency option to 'EU'.Correct

Option D is correct because Azure AI services allow you to specify a data residency option when creating the resource in a specific EU region, ensuring that all customer data remains within the European Union as required by GDPR. This configuration explicitly restricts data proce…Read full explanation

Q2Plan and manage an Azure AI solutioneasy
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You need to monitor costs for an Azure AI solution that uses multiple Azure AI services. Which Azure tool should you use to set budgets and receive alerts?

AAzure Advisor
BAzure Monitor
CAzure Service Health
Azure Cost ManagementCorrect

Azure Cost Management is the dedicated Azure tool for setting budgets, defining cost thresholds, and configuring alerts when spending exceeds those limits. It provides detailed cost analysis, forecasting, and policy enforcement across all Azure services, including AI services lik…Read full explanation

Q3Plan and manage an Azure AI solutionhard
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A company is deploying a custom vision model using Azure Custom Vision. The training data contains images with varying resolutions. The model must achieve high accuracy. Which pre-processing step should be applied to the images before training?

Resize all images to the same dimensions (e.g., 224x224).Correct
BConvert images to grayscale.
CNormalize pixel values to a range of 0-1.
DApply data augmentation techniques like random cropping.

Custom Vision models use a fixed input size (e.g., 224x224 for ResNet-based architectures). Images with varying resolutions must be resized to the same dimensions before training to ensure consistent tensor shapes for the neural network. Without this step, the model cannot proces…Read full explanation

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