The AI-102 exam, Designing and Implementing an Azure AI Solution, is a crucial certification for professionals working with Azure’s Artificial Intelligence (AI) services. It tests your ability to design, implement, and deploy AI solutions using Microsoft Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Whether you’re preparing for the exam or just looking to sharpen your skills, this blog provides you with 50 practice test questions to help you get exam-ready.
AI-102 Practice Test Questions with Answers
- What are the core Azure AI services used in designing AI solutions?
Answer: Azure Cognitive Services, Azure Machine Learning, Azure Bot Services, Azure Databricks - Which of the following would be the best service for building a custom image classification model in Azure?
Answer: Azure Machine Learning - What is the first step in designing a conversational AI solution using Azure?
Answer: Defining the conversation flow - Which service is best for designing a personalized recommendation system on Azure?
Answer: Azure Machine Learning - What is the purpose of the Azure Machine Learning workspace?
Answer: Centralized platform for managing and training models - Which Azure Cognitive Services API is best for analyzing images for objects and faces?
Answer: Computer Vision API - You are building an AI solution for image-based product recommendations. Which service would you use for object detection?
Answer: Custom Vision - Which of the following is NOT a feature provided by the Computer Vision API?
Answer: Real-time language translation - What is the purpose of the OCR (Optical Character Recognition) feature in the Computer Vision API?
Answer: Extract text from images - How can you enhance the accuracy of a Custom Vision model?
Answer: Train with labeled images - Which of the following services is used to convert speech to text in Azure?
Answer: Speech API - Which Azure service helps you identify the sentiment of a given text?
Answer: Text Analytics API - Which of the following features does the Language Understanding (LUIS) service provide?
Answer: Named entity recognition - When building a chatbot, what is the role of the QnA Maker in Azure?
Answer: Creating a knowledge base for FAQs - Which of the following APIs would you use to translate text from one language to another in real-time?
Answer: Translator Text API - Which Azure service is primarily used for developing conversational AI systems such as chatbots?
Answer: Azure Bot Services - What is the purpose of Azure Bot Framework?
Answer: It allows building, testing, and deploying conversational AI solutions - In Azure Bot Services, what is an essential component that defines the conversation flow?
Answer: LUIS Model - How can you integrate Azure Bot Services with popular messaging platforms?
Answer: By using Bot Channels Registration - Which language is primarily used to develop bots in the Azure Bot Service?
Answer: JavaScript/Node.js - What is the purpose of Azure Machine Learning Pipelines?
Answer: To automate model training and deployment - Which of the following tools is used to monitor the performance of an Azure AI solution after deployment?
Answer: Azure Monitor - What is the best way to update a deployed AI model in Azure Machine Learning?
Answer: Retrain the model and redeploy - When deploying an AI solution to production, which of the following best practices should be followed?
Answer: Monitor the model continuously - Which Azure service can be used to automate the deployment of AI models at scale?
Answer: Azure Machine Learning Pipelines - What is the role of Azure Cognitive Services in an AI solution architecture?
Answer: Offer pre-built APIs for common AI tasks - Which of the following services would you use to deploy an AI model as a REST API?
Answer: Azure Machine Learning - Which of these is the best service for hosting an AI model in a containerized environment?
Answer: Azure Kubernetes Service (AKS) - What is the best service for building an AI model for large-scale, real-time data analysis?
Answer: Azure Databricks - Which Azure service integrates AI models with existing databases for predictions and insights?
Answer: Azure Cosmos DB - What is the role of Azure Machine Learning Compute?
Answer: Provides scalable computing power for training and inference - Which service in Azure provides automatic machine learning (AutoML) for training models?
Answer: Azure Machine Learning - Which of the following is a key feature of the Azure Cognitive Services Face API?
Answer: Detects and recognizes faces in images - Which service would you use to create and manage machine learning models in a low-code environment?
Answer: Azure Machine Learning Studio - How can you store and manage data for machine learning experiments in Azure?
Answer: Azure Blob Storage - Which Azure service would be used to orchestrate machine learning workflows and manage data pipelines?
Answer: Azure Data Factory - What is the purpose of the Azure Cognitive Search service?
Answer: Provides AI-powered search capabilities for applications - Which Azure service allows you to deploy a chatbot to a website?
Answer: Azure Bot Services - How can you optimize AI models for cost-effectiveness in Azure?
Answer: By using Azure Machine Learning managed endpoints - Which Azure service would you use to manage the lifecycle of machine learning models?
Answer: Azure Machine Learning - What is the purpose of the Azure AI Vision API?
Answer: To analyze and extract information from images and videos - What is the primary function of the Azure AI Conversational Bot service?
Answer: To build and manage intelligent bots for customer interaction - Which of the following is a typical use case for Azure Cognitive Services Speech API?
Answer: Converting speech to text or text to speech - Which Azure service helps you monitor and manage the health of deployed machine learning models?
Answer: Azure Monitor - What is the role of a Data Scientist in the context of an Azure AI project?
Answer: Build and train machine learning models - What is the primary purpose of Azure Cognitive Services Language API?
Answer: To perform text analytics, such as sentiment analysis
FAQ – Frequently Asked Questions
1. What is the best way to prepare for the AI-102 exam?
The best way to prepare for the AI-102 exam is by studying the core Azure AI services, understanding how to implement machine learning models, and working with various Azure services like Cognitive Services and Bot Services. Hands-on practice and taking practice tests, such as the 50 questions provided above, are highly recommended.
2. How long should I study for the AI-102 exam?
Study time depends on your experience level with Azure AI solutions. Generally, professionals with a good understanding of machine learning and cloud computing should spend about 2-4 weeks preparing for the exam. For beginners, more time might be needed to grasp the concepts thoroughly.
3. What resources should I use to study for the AI-102 exam?
Microsoft Learn offers free learning paths and modules, which are great for preparation. Additionally, you can use books, practice tests, and online courses that focus on Azure AI and machine learning. Make sure to explore resources that cover each section of the exam in detail.
4. Are there any prerequisites for taking the AI-102 exam?
While there are no official prerequisites, it is recommended to have a basic understanding of Azure and machine learning. Having experience with Azure services like Cognitive Services, Azure Machine Learning, and Bot Services will also be helpful.
5. How can I schedule the AI-102 exam?
You can schedule the AI-102 exam through the Microsoft certification portal. Simply sign in to your Microsoft account, select the exam, and choose a testing center or online proctored option based on your preference.