Microsoft azure ai engineer associate(AI-102) Exam

Description

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:

1. Plan and Manage Azure AI Solutions

2. 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.

3. 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).

4. Implement Conversational AI Solutions

5. Implement Speech Solutions

6. Implement Knowledge Mining and Document Intelligence Solutions

Key Topics

Here are the main domains you should focus on:

• Azure AI Solutions Planning & Design

• 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

• Knowledge Mining & Document Intelligence

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.