Top 25 Interview Questions With Answers For AI-102T00

Master your AI-102T00 interview with these comprehensive questions and answers designed to help you excel in developing AI solutions on Azure.

Top 25 Interview Questions with Answers for AI-102T00: Develop AI solutions in Azure

Preparing for the AI-102T00: Develop AI solutions in Azure interview requires a thorough understanding of both foundational and advanced concepts related to Azure AI services. Here, we provide the top 25 interview questions along with detailed answers to help you ace your interview.

1. What is the AI-102 certification, and who is it for?

The AI-102 certification, also called "Designing and Implementing an Azure AI Solution", is designed for AI Engineers responsible for building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. It suits data scientists, developers, or engineers working on intelligent apps.

2. Which Azure services are most commonly used in AI solutions?

• Azure Cognitive Services: Vision, Speech, Language, Decision
• Azure Machine Learning: For building, training, and deploying models
• Azure Bot Service: For conversational AI
• Azure Cognitive Search: AI-powered search engine
• Azure Data Lake & Storage: For managing large datasets

3. What is Azure Cognitive Services?

Azure Cognitive Services is a suite of APIs and SDKs that allow developers to easily integrate AI capabilities like:

• Vision (e.g., OCR, image classification)
• Speech (e.g., text-to-speech, speech-to-text)
• Language (e.g., translation, sentiment analysis)
• Decision (e.g., anomaly detection, personalizer)

4. What are the components of Azure Cognitive Services?

Grouped into 4 categories:

1. Vision: Computer Vision, Face API, Form Recognizer
2. Speech: Speech-to-Text, Text-to-Speech, Speech Translation
3. Language: Text Analytics, QnA Maker, Language Understanding (LUIS)
4. Decision: Personalizer, Content Moderator, Anomaly Detector

5. What is Azure Bot Service and where is it used?

Azure Bot Service provides tools to build conversational agents (bots) that can:

• Interact with users via text/speech
• Integrate with services like MS Teams, Slack, Facebook
• Use LUIS for natural language understanding
• Be hosted in Azure with security and scalability

6. What is the purpose of the AI-102 certification in the Azure ecosystem?

The AI-102 certification is designed for professionals who want to develop AI-powered applications using Microsoft Azure. It validates skills in integrating Azure Cognitive Services, Azure Machine Learning, and conversational AI solutions. The goal is to ensure candidates can build, manage, and deploy intelligent applications responsibly and efficiently in real-world business environments.

7. How does Azure Form Recognizer help businesses automate document processing?

Azure Form Recognizer uses machine learning to extract key-value pairs, tables, and text from documents such as invoices, receipts, and forms. This significantly reduces manual data entry and processing errors. It supports both prebuilt and custom models, making it adaptable to various document types and industry-specific formats.

8. What is the difference between Azure Cognitive Services and Azure Machine Learning?

9. What is LUIS (Language Understanding Intelligent Service)?

LUIS helps apps understand natural language input. It:

• Extracts intents (user's goal)
• Identifies entities (keywords in the utterance)
• Trains language models using examples

10. What is Azure Language Understanding (LUIS), and why is it important?

Azure LUIS enables applications to understand natural language commands from users by identifying intents and extracting relevant entities. It is particularly useful for chatbots and voice-based interfaces, helping systems interact more naturally with humans. Developers can train and publish models easily through the LUIS portal.

11. What are the benefits of using Azure Cognitive Services in AI development?

Azure Cognitive Services provides prebuilt AI models accessible through APIs, allowing developers to quickly add capabilities like vision, speech, and language understanding to applications. It reduces the need for deep AI expertise and shortens development time. These services are scalable, secure, and continuously improved by Microsoft.

12. How does the Azure Bot Service enhance conversational AI experiences?

Azure Bot Service simplifies the creation of intelligent bots by integrating tools like the Bot Framework SDK, Azure Functions, and LUIS. It allows bots to be deployed across channels like Microsoft Teams, Slack, and websites. The service ensures scalable, real-time user interactions while supporting multilingual and multi-modal inputs.

13. Explain the steps to use Computer Vision Read API.

1. Upload image via REST API or SDK
2. Call Read API endpoint
3. Get an operation ID
4. Poll for results using operation ID
5. Receive text lines/words with bounding boxes

14. What is Azure Translator and how does it work?

Azure Translator offers real-time text translation between 90+ languages using:

• REST API
• SDK
• Built-in language detection
  It supports customization via Custom Translator.

15. What is the difference between Text Analytics and LUIS?

16. What is the Speech Service in Azure?

Azure Speech provides:

• Speech-to-Text
  
• Text-to-Speech
  
• Speech Translation
• Speaker Recognition

It’s useful in transcription, accessibility tools, and voice assistants.

17. What is the role of Azure Cognitive Search in AI solutions?

21. How do you secure AI services in Azure?

• Use Azure Active Directory (AAD) for authentication
• Limit access via API keys and role-based access control
  
• Monitor usage with Azure Monitor
  
• Enable network restrictions via VNETs

22. What is the use of Azure Machine Learning in AI-102 solutions?

Azure Machine Learning allows data scientists and developers to build, train, and deploy machine learning models at scale. It supports automation, MLOps, and integration with popular frameworks like TensorFlow and PyTorch. In AI-102 scenarios, it is mainly used when prebuilt Cognitive Services aren’t sufficient for specialized business needs.

23. What are the security features available for protecting Azure AI services?

Azure AI services offer multiple security layers, including authentication through Azure Active Directory, role-based access control (RBAC), and private endpoints. Developers can secure APIs using keys and restrict traffic using virtual networks or firewalls. Additionally, Azure ensures compliance with global standards like GDPR and ISO 27001.

24. How does Azure AI ensure scalability and reliability?

• Services are hosted in Microsoft’s global data centers
  
• Built-in load balancing and failover
  
• Use of AKS for scalable deployments
  
• Autoscaling with Azure Functions or Logic Apps for event-driven triggers

25. What is AI enrichment in Azure Cognitive Search and how does it work?

AI enrichment is a feature in Azure Cognitive Search that uses cognitive skills to analyze and transform content during indexing. It extracts text from images, detects language, and pulls out entities or key phrases using Cognitive Services. This enriched metadata improves the quality and accuracy of the search experience.