Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Exam Number: AI-102 Length of test: 120 mins
Exam Name: Designing and Implementing a Microsoft Azure AI Solution Number of questions in the actual exam: 40-60
Format: PDF, VPLUS Passing Score: 700/1000

Total Questions: 323

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Last updated: November-2024

Total Questions: 323

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Last updated: November-2024

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Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Audience profile

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.

Your responsibilities include participating in all phases of AI solutions development, including:

  • Requirements definition and design
  • Development
  • Deployment
  • Integration
  • Maintenance
  • Performance tuning
  • Monitoring

You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:

  • Build complete and secure end-to-end AI solutions.
  • Integrate AI capabilities in other applications and solutions.

As an Azure AI engineer, you have experience developing solutions that use languages such as:

  • Python
  • C#

You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:

  • Understand the components that make up the Azure AI portfolio and the available data storage options.
  • Be able to apply responsible AI principles.

Skills at a glance

Plan and manage an Azure AI solution (15–20%)

  • Select the appropriate Azure AI service
  • Plan, create and deploy an Azure AI service
  • Manage, monitor, and secure an Azure AI service

Implement content moderation solutions (10–15%)

  • Create solutions for content delivery

Implement computer vision solutions (15–20%)

  • Analyze images
  • Implement custom computer vision models by using Azure AI Vision
  • Analyze videos

Implement natural language processing solutions (30–35%)

  • Analyze text by using Azure AI Language
  • Process speech by using Azure AI Speech
  • Translate language
  • Implement and manage a language understanding model by using Azure AI Language
  • Create a custom question answering solution by using Azure AI Language

Implement knowledge mining and document intelligence solutions (10–15%)

  • Implement an Azure AI Search solution
  • Implement an Azure AI Document Intelligence solution

Implement generative AI solutions (10–15%)

  • Use Azure OpenAI Service to generate content
  • Optimize generative AI
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Kako

Just pass.
I don’t see question solutions for content delivery.
team should update new question.

Nani

AI-102 valid now?

Nani

Passed.
9xx score.
Thanks Tamy