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Any individual who is planning to pass the Microsoft AI-100 exam should understand its details. The first thing that you need to know about this test is that the students will be given 180 minutes to answer 62 questions. This certification exam consists of various types of questions, including multiple choice, scenario-based, correct sequence, and drag and drop, among others. To complete the test, the applicants should get a minimum score of 700 or more on a scale of 100-1000. The exam is available in various languages, such as Korean, Simplified Chinese, Japanese, and English. To schedule it, you will have to pay $165 as a registration fee.
It is very important that you know the retake policy for the Microsoft exams because there is a high chance that you will need it. You will only have a total of five attempts to pass the test in a single year. If you fail the first time, you will have to wait 24 hours before you can retake the exam. But if you fail the test during your second attempt, you will wait for 14 days before you can have the third, fourth, and fifth attempts. As far as canceling or rescheduling the exam is concerned, it is crucial to do so at least 24 hours prior to the test otherwise you will forfeit your fee.
The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.
Reference: https://www.microsoft.com/en-us/learning/exam-ai-100.aspx
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Candidates for this exam should have subject matter expertise using cognitive services, machine learning, and knowledge mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, and conversational AI.
Responsibilities for an Azure AI Engineer include analyzing requirements for AI solutions, recommending the appropriate tools and technologies, and designing and implementing AI solutions that meet scalability and performance requirements.
Azure AI Engineers translate the vision from solution architects and work with data scientists, data engineers, IoT specialists, and software developers to build complete end-to-end solutions.
A candidate for this exam should have knowledge and experience designing and implementing AI apps and agents that use Microsoft Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search, and data storage in Azure. In addition, a candidate should be able to recommend solutions that use open source technologies, understand the components that make up the Azure AI portfolio and the available data storage options, and understand when a custom API should be developed to meet specific requirements.
Part of the requirements for: none
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| Section | Objectives |
|---|---|
| Design AI Solutions on Azure | - Select appropriate Azure AI services
|
| Implement Knowledge Mining and Search Solutions | - Azure Cognitive Search
|
| Implement Computer Vision Solutions | - Image analysis and processing
|
| Responsible AI and Monitoring | - AI ethics and governance
|
| Implement Natural Language Processing (NLP) | - Text analytics solutions
|
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