Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Designing and Implementing a Microsoft Azure AI Solution (AI-102)
Designing and Implementing a Microsoft Azure AI Solution AI-102 certification exam measures your ability to accomplish technical tasks including - plan and manage Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions, and implement conversational AI solutions.
Who should take the AI-102 exam?
- Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
- 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.
- Candidates should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Microsoft Azure AI Solution AI-102 Course Outline
The Designing and Implementing a Microsoft Azure AI Solution (AI-102) Exam covers the latest exam updates and topics as per exam updates as on October 31, 2023 -
- Domain 1 - Understanding to plan and manage an Azure AI solution (15–20%)
- Domain 2 - Understanding to implement decision support solutions (10–15%)
- Domain 3 - Understanding to implement computer vision solutions (15–20%)
- Domain 4 - Understanding to implement natural language processing solutions (30–35%)
- Domain 5 - Understanding to implement knowledge mining and document intelligence solutions (10–15%)
- Domain 5 - Understanding to implement generative AI solutions (10–15%)
Enrich and upgrade your skills to qualify Microsoft Azure AI Solution (AI-102) Exam with the latest practice test and study guide. Try Free Practice Test Now!
Exam Format and Information
Exam Name Designing and Implementing a Microsoft Azure AI Solution | Exam Code AI-102 |
| Exam Duration 120 mins | Exam Format Multiple Choice and Multi-Response Questions |
| Exam Type Beta Exam | Number of Questions 40-60 Questions |
| Eligibility/Pre-Requisite NIL | Exam Status Live |
| Exam Language English, Japanese, Chinese (Simplified), Korean | Pass Score 700 (on a scale of 1-1000) |
Designing and Implementing a Microsoft Azure AI Solution (AI-102) FAQs
What is the passing score for AI-102 exam?
You need to score 700 on a scale of 1-1000 to pass the AI-102 exam.
Who should take the AI-102 exam?
- Candidates for Exam AI-102 should have subject matter expertise building, managing, and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
- 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.
- Candidates should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
How many questions are there in AI-102 exam
There are approximately 40-60 questions in the AI-102 exam.
How can I pass the Microsoft AI-102 exam?
To pass the exam, just go through the study guide and get yourself familiar with the concepts that include:
- Plan and manage an Azure Cognitive Services solution
- Implement Computer Vision solutions
- Implement natural language processing solutions
- Implement knowledge mining solutions
- Implement conversational AI solutions
What is Designing and Implementing a Microsoft Azure AI Solution AI-102 exam?
Designing and Implementing a Microsoft Azure AI Solution AI-102 certification exam measures your ability to accomplish technical tasks including - plan and manage Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions, and implement conversational AI solutions.
What is AI-102 course outline?
The Designing and Implementing a Microsoft Azure AI Solution (AI-102) Exam covers the following topics -
- 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%)