About Microsoft Certified: Microsoft Azure AI Engineer Associate
Exam Questions
Case study, short answer, repeated answer, MCQs
Number of Questions
80-100
Time to Complete
150 minutes
Exam Fee
165 USD
The Microsoft Certified: Candidates for Exam AI-102 – “Designing and Implementing a Microsoft Azure AI Solution” build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions. Candidates for this exam should be proficient in C#, Python, or JavaScript and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure. This exam measures your ability to accomplish the following technical tasks:
Plan and manage an Azure Cognitive Services solution (15-20%)
Implement Computer Vision solutions (20-25%)
Implement natural language processing solutions (20-25%)
Implement knowledge mining solutions (15-20%)
Implement conversational AI solutions (15-20%)
Recommended Knowledge
Select the appropriate Cognitive Services resource
Plan and configure security for a Cognitive Services solution
Create a Cognitive Services resource
Plan and implement Cognitive Services containers
Analyze images by using the Computer Vision API
Extract text from images
Extract facial information from images
Implement image classification by using the Custom Vision service
Implement an object detection solution by using the Custom Vision service
Analyze video by using Video Indexer
Analyze text by using the Text Analytics service
Manage speech by using the Speech service
Translate language
Build an initial language model by using Language Understanding Service (LUIS)
Iterate on and optimize a language model by using LUIS
Manage a LUIS model
Implement a Cognitive Search solution
Implement an enrichment pipeline
Implement a knowledge store
Manage a Cognitive Search solution
Manage indexing
Create a knowledge base by using QnA Maker
Design and implement conversation flow
Create a bot by using the Bot Framework SDK
Create a bot by using the Bot Framework Composer
Integrate Cognitive Services into a bot
All the required information is included in this technology workbook.
Domain
Domain 1
Plan and manage an Azure Cognitive Services solution 15-20%
Domain 2
Implement Computer Vision solutions 20-25%
Domain 3
Implement natural language processing solutions 20-25%
Domain 4
Implement knowledge mining solutions 15-20%
Domain 5
Implement conversational AI solutions 15-20%
Microsoft Certified:
AI-102: Designing and Implementing a Microsoft Azure AI Solution
Covers Complete & Official Exam Blueprint
Summarized content
Case study based approach
Ready to practice labs
Exam tips
Mind maps
100% passing guarantee
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Language: English
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Last Update: 28/06/2021
Version: 1.0