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HomeCertificationsAI-102TopicsPlan and manage an Azure AI solution
Free · No Signup RequiredMicrosoft · AI-102

AI-102 Plan and manage an Azure AI solution Practice Questions

20+ practice questions focused on Plan and manage an Azure AI solution — one of the most tested topics on the Microsoft Azure AI Engineer Associate AI-102 exam. Each question includes a detailed explanation so you learn why the right answer is correct.

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Exam Domains

Implement an agentic solutionImplement computer vision solutionsImplement knowledge mining and information extraction solutionsImplement image and video processing solutionsImplement natural language processing solutionsImplement generative AI solutionsImplement agentic AI solutionsAll domains →

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Sample Plan and manage an Azure AI solution Questions

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1.

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?

A.Deploy the Azure AI services in multiple regions globally and use geo-replication.
B.Use the Azure AI services 'Data Residency' SKU.
C.Use the Free tier of Azure AI services.
D.Create an Azure AI services resource in a specific EU region and set the data residency option to 'EU'.

Explanation: 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 processing and storage to the chosen geographic boundary, meeting compliance and residency mandates.

2.

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?

A.Azure Advisor
B.Azure Monitor
C.Azure Service Health
D.Azure Cost Management

Explanation: 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 like Cognitive Services and Azure Machine Learning.

3.

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?

A.Resize all images to the same dimensions (e.g., 224x224).
B.Convert images to grayscale.
C.Normalize pixel values to a range of 0-1.
D.Apply data augmentation techniques like random cropping.

Explanation: 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 process the data correctly, leading to training failures or degraded accuracy.

4.

You are designing an Azure AI solution that uses Language Understanding (LUIS) for intent detection. The solution must handle multiple languages dynamically based on the user's locale. What should you do?

A.Use Azure Translator to translate user input to English before sending to LUIS.
B.Create separate LUIS applications for each language and route based on locale.
C.Train a single LUIS app with utterances in all languages.
D.Enable the 'Multi-Language' feature in the LUIS app.

Explanation: Option B is correct because LUIS does not natively support multi-language within a single application; each LUIS app is designed for a single language. To handle multiple languages dynamically, you must create separate LUIS applications for each language and route user utterances based on the detected locale, ensuring accurate intent and entity recognition per language.

5.

A company wants to use Azure AI services to extract text from scanned PDF documents. Which Azure AI service should they use?

A.Azure AI Language Understanding (LUIS)
B.Azure AI Document Intelligence
C.Azure AI Computer Vision API
D.Azure Cognitive Search

Explanation: Azure AI Document Intelligence (formerly Form Recognizer) is the correct service because it is specifically designed for extracting text, tables, and key-value pairs from scanned PDFs and images using optical character recognition (OCR) and deep learning models. Unlike general OCR APIs, Document Intelligence can handle complex layouts and preserve document structure, making it ideal for this use case.

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How to master Plan and manage an Azure AI solution for AI-102

1. Baseline your knowledge

Start with 10 questions to gauge your current understanding of Plan and manage an Azure AI solution. This tells you whether you need a concept refresher or just practice.

2. Review every explanation

For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.

3. Focus on exam traps

Plan and manage an Azure AI solution questions on the AI-102 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.

4. Reach 80% consistently

Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.

Frequently asked questions

How many AI-102 Plan and manage an Azure AI solution questions are on the real exam?

The exact number varies per candidate. Plan and manage an Azure AI solution is tested as part of the Microsoft Azure AI Engineer Associate AI-102 blueprint. Practicing with targeted Plan and manage an Azure AI solution questions ensures you can handle any format or difficulty that appears.

Are these AI-102 Plan and manage an Azure AI solution practice questions free?

Yes. Courseiva provides free AI-102 practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.

Is Plan and manage an Azure AI solution one of the harder AI-102 topics?

Difficulty is subjective, but Plan and manage an Azure AI solution is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.

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Topic Info

Topic

Plan and manage an Azure AI solution

Exam

AI-102

Questions available

20+