Microsoft Certified: Azure AI Engineer Associate - Practice Mock Exam questions

Microsoft Certified: Azure AI Engineer Exam questions

The Microsoft Certified: Azure AI Engineer Associate certification is designed to validate expertise in using Microsoft Azure’s AI services to build, manage, and deploy AI solutions. This certification is intended for professionals working with AI technologies and solutions on the Azure platform.

Microsoft Certified: Azure AI Engineer Associate Exam

Domains & Competencies

The Azure AI Engineer Associate exam (Exam AI-102: Designing and Implementing an Azure AI Solution) focuses on several key domains and competencies. Here’s a breakdown:

1. Analyze Solution Requirements (25-30%)

   • Competencies:

     • Identify business requirements and translate them into AI solutions.

     • Evaluate different AI solutions and technologies to meet specific business needs.

     • Assess the feasibility and impact of AI solutions.

2. Implement Computer Vision Solutions (20-25%)

   • Competencies:

     • Use Azure Cognitive Services to implement computer vision solutions.

     • Work with services such as Azure Computer Vision and Azure Face API.

     • Develop solutions for image classification, object detection, and optical character recognition (OCR).

3. Implement Natural Language Processing (NLP) Solutions (20-25%)

   • Competencies:

     • Use Azure Cognitive Services for NLP tasks.

     • Implement solutions for language understanding, translation, sentiment analysis, and text analytics using services such as Azure Text Analytics and Azure Translator.

4. Implement Conversational AI Solutions (15-20%)

   • Competencies:

     • Design and implement conversational AI solutions using Azure Bot Services and Azure QnA Maker.

     • Develop and deploy chatbots and virtual assistants.

     • Integrate bots with channels and manage their lifecycle.

5. Integrate AI Models into Solutions (10-15%)

   • Competencies:

     • Integrate AI models with existing applications and workflows.

     • Deploy and manage AI models using Azure Machine Learning.

     • Monitor and maintain the performance of AI models in production environments.

Who Is It For?

The Azure AI Engineer Associate certification is intended for:

• AI Engineers: Professionals who design and implement AI solutions using Azure technologies.

• Data Scientists and Analysts: Individuals who work with AI models and require a deeper understanding of Azure AI services.

• Developers: Software developers who build and integrate AI functionalities into applications using Azure.

• Solution Architects: Architects who design AI-driven solutions and need to demonstrate expertise in Azure AI services.

What It Demonstrates

Achieving the Azure AI Engineer Associate certification demonstrates that the candidate has the ability to:

• Implement AI Solutions: Design and implement AI solutions using Azure Cognitive Services, Azure Bot Services, and Azure Machine Learning.

• Analyze Requirements: Assess and address business needs through the development and deployment of AI solutions.

• Integrate and Deploy Models: Integrate AI models into applications and workflows, manage their lifecycle, and ensure their optimal performance.

• Utilize Azure Services: Apply a broad knowledge of Azure AI services for computer vision, NLP, and conversational AI.

Exam Details

• Exam Code: AI-102

• Format: Multiple-choice, multiple-response, and case study questions.

• Duration: 150 minutes.

• Number of Questions: Approximately 40-60 questions.

• Language: English, Japanese, Korean, Simplified Chinese.

• Prerequisites: There are no formal prerequisites, but familiarity with Azure services and basic AI concepts is recommended. It’s beneficial to have experience with Azure and some experience with AI concepts and solutions.

• Registration: Through the Microsoft certification portal or authorized testing centers like Pearson VUE.

Resources for Preparation

1. Microsoft Learn: Microsoft’s learning platform offers free modules and learning paths specific to the AI-102 exam.

   • Microsoft Learn for Azure AI Engineer

2. Exam Guide: Review the official exam guide to understand the structure and content of the exam.

   • AI-102 Exam Skills Outline

3. Online Training Courses:

   • Microsoft Official Courses: Check for instructor-led training or online courses provided by Microsoft or their partners.

     • Microsoft Training

   • Online Platforms:

     • Udemy Azure AI Courses

     • Pluralsight Azure AI Courses

4. Practice Exams:

   • Microsoft Practice Tests: Utilize practice exams and sample questions to familiarize yourself with the exam format.

     • MeasureUp Practice Tests

   • Online Resources:

     • Whizlabs Practice Tests

5. Books and Study Guides:

   • "Exam Ref AI-102 Designing and Implementing an Azure AI Solution" by Microsoft Press.

   • "Microsoft Azure AI Engineer Associate Exam Ref AI-102" by Michael Washam, Chris Pietschmann, and others.

6. Community Forums and Study Groups:

   • Engage with the Microsoft Azure community on forums, Reddit, and LinkedIn to discuss exam strategies and share resources.

   • Microsoft Tech Community

   • Reddit Azure Community

Preparing for the Azure AI Engineer Associate exam involves a blend of studying theoretical concepts and gaining hands-on experience with Azure AI services. Utilizing these resources effectively will help you build the skills necessary to pass the exam and demonstrate your expertise in designing and implementing AI solutions on Azure.

110 Curated Exam Questions & Answers