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Step-1: Start learning the exam objectives of AI-102 certification clearly and find out the skills which you need to learn. You can also take up a study guide on the AI-102 certification exam.
Step-2: Try attending free questions available for the AI-102 exam. Once you are very familiar with the exam objectives, it’s time to try out the practice tests which have unique questions on the AI-102 exam.
Step-3: Even Microsoft recommends trying out AI-102 practice tests. Have a relook at practice tests again and when you are confident enough, try the actual exams without any fear.
Target Audience for the AI-102 exam
You should be skilled in C# or Python and be able to leverage REST-based APIs and SDK to construct computer vision, natural language processing, knowledge mining, Microsoft AI-102 Exam Dumps and conversational AI solutions on Azure.
You should also be aware of the Azure AI portfolio's components and the various data storage solutions. Additionally, applicants must be familiar with and capable of putting into practice sound concepts of responsible artificial intelligence.
Finally, you'll collaborate with solution architects to articulate their vision and with data scientists, data engineers, IoT experts, and AI developers to construct entire end-to-end AI solutions.
AI-102 is the Designing and Implementing a Microsoft Azure AI Solution, a 40-60 question English language exam for building, managing, and deploying AI systems that use Azure Cognitive Services, Azure Applied AI Services, and the Microsoft Bot structure.
One of their tasks is taking an interest in all periods of AI arrangement improvement—from prerequisites definition and plan to advancement, deployment, execution tuning, maintenance, and checking. They work with solution architects to convey their vision and construct total end-to-end AI solutions with analysts, designers, scientists, IoT experts, and AI engineers.
Candidates for this test ought to have the option to make system vision, natural language handling, information mining, and conversational AI solutions on Azure utilizing REST-based APIs and SDKs, as well as an understanding of all the components that help to make up the Azure AI portfolio, the available data storage options, and the ability to apply responsible AI principles. It has a $165 registration fee.
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