Azure AI Certification Exam Disclaimer and Preparation Details

In order to set realistic expectations, please note: These questions are NOT official questions that you will find on the official exam. However, they DO cover all the material outlined in the knowledge sections below. Many of the questions are based on practical scenarios that include situations you might encounter in real-world applications.

The official knowledge requirements for the exam are regularly reviewed to ensure the content remains up to date. Updates may occur without prior notification, and the content may change at any time.

The questions will be randomized each time you take the test, so you will need to understand why an answer is correct, not just remember which answer was correct from the previous attempt.

NOTE: This course should not be your only study material to prepare for the official exam. These practice tests are intended to supplement your study materials.

Based on the Azure AI Engineer Associate (AI-102) Exam Preparation Guide, here are the key details to focus on for effective exam preparation:

Exam Overview

Exam Name: Microsoft Certified: Azure AI Engineer Associate (AI-102)

Exam Code: AI-102

Number of Questions: 40–60 questions

Passing Score: 700 (scaled score)

Duration: 150 minutes

Delivery Method: Proctored exam through Pearson VUE

Target Audience

Candidates should have at least 6 months of hands-on experience with Azure AI services, including experience working with cognitive services, machine learning, and Azure AI solutions. A strong understanding of how to integrate these solutions into business processes is essential.

Exam Sections

The exam will cover the following key areas:

Plan and Manage Azure AI Solutions

Identify requirements for AI solutions and design a project plan.

Develop a governance strategy and manage project lifecycle.

Implement Computer Vision Solutions

Use Azure AI Vision for object detection, image classification, and optical character recognition (OCR).

Deploy image models using the Custom Vision service.

Implement Natural Language Processing (NLP) Solutions

Use Azure AI Language to analyze text, extract entities, and detect sentiment.

Implement custom NLP solutions using Language Understanding (LUIS).

Implement Conversational AI Solutions

Build and deploy a chatbot using the Azure Bot Service and Language Understanding (LUIS).

Implement Speech Solutions

Integrate speech recognition, synthesis, and translation using the Azure AI Speech service.

Implement Knowledge Mining and Document Intelligence Solutions

Use Azure AI Search for indexing and querying data sources.

Implement document processing using Azure Form Recognizer and custom models.

Key Topics

Here are the main domains you should focus on:

Azure AI Solutions Planning & Design

Identify and design solutions based on customer requirements.

Determine resource requirements and select suitable Azure services.

Computer Vision

Object detection, face recognition, and image classification.

Apply techniques for image analysis using prebuilt and custom models.

Natural Language Processing

Text analysis, entity extraction, sentiment analysis.

Customizing language models for specific applications.

Conversational AI

Design, create, and deploy intelligent chatbots.

Integrate with external services and data sources.

Speech Solutions

Implement speech-to-text and text-to-speech systems.

Optimize speech recognition for domain-specific scenarios.

Knowledge Mining & Document Intelligence

Build a knowledge mining solution with Azure AI Search.

Use AI-powered document processing for extracting structured data from documents.

Important Note: These practice questions are designed to reinforce key concepts. They should be used alongside other study materials to prepare for the official exam. Comprehensive preparation is essential for success.