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AI-1022025 Updated

Azure AI Engineer

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Practice Exams

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Practice Exam 1

60 Questions
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Practice Exam 2

60 Questions
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Practice Exam 3

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Exam Information

Everything you need to know about the official exam

Duration
180 minutes
Questions
40-60 questions
Passing Score
700 out of 1000 points
Price (US)
$165 USD
Prep Time
8-12 weeks with 10-15 hours per week
Validity
1 year (renewable annually)
Format
Multiple choice, case studies, and labs
Languages
English, Japanese, Chinese (Simplified) and 9 more
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Who Should Take This Exam

Find out if this certification is right for your career goals

AI Engineers

Professionals who build, manage, and deploy AI solutions that leverage Azure AI

Software Developers

Developers with experience in Python or C# who want to implement AI capabilities in applications

Solution Architects

Architects who work with AI engineers to translate business requirements into AI solutions

Data Scientists

Professionals who collaborate with AI engineers to deploy models and implement end-to-end AI solutions

DevOps Engineers

Engineers responsible for CI/CD pipelines and deployment of AI workloads on Azure

IoT Specialists

Specialists who work with AI engineers to integrate AI capabilities into IoT solutions

New to this field?

Don't worry! Our comprehensive practice exams include beginner-friendly explanations and step-by-step guidance to help you build confidence and expertise.

What's Covered in This Exam

Detailed breakdown of topics and skills measured

Exam Domains

Plan and manage an Azure AI solution
20-25%
  • Select the appropriate Azure AI Foundry services
  • Plan, create and deploy an Azure AI Foundry service
  • Manage, monitor, and secure an Azure AI Foundry Service
  • Implement AI solutions responsibly
Implement generative AI solutions
15-20%
  • Build generative AI solutions with Azure AI Foundry
  • Use Azure OpenAI in Foundry Models to generate content
  • Optimize and operationalize a generative AI solution
Implement an agentic solution
5-10%
  • Create custom agents
  • Implement complex agents with Semantic Kernel and Autogen
  • Implement complex workflows including multi-agent orchestration
Implement computer vision solutions
10-15%
  • Analyze images
  • Implement custom vision models
  • Analyze videos
Implement natural language processing solutions
15-20%
  • Analyze and translate text
  • Process and translate speech
  • Implement custom language models
Implement knowledge mining and information extraction solutions
15-20%
  • Implement an Azure AI Search solution
  • Implement an Azure AI Document Intelligence solution
  • Extract information with Azure AI Content Understanding

Key Services & Technologies

Azure AI Foundry
Azure OpenAI
Azure AI Vision
Azure AI Video Indexer
Azure AI Language
Azure AI Speech
Azure AI Search
Azure AI Document Intelligence
Azure AI Content Understanding
Semantic Kernel
Autogen
Prompt Flow

Complete Coverage

Our practice exams cover all these domains and services with real-world scenarios and detailed explanations.

Frequently Asked Questions

Common questions about our practice exams and the certification