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Microsoft AI-900 exam is an excellent starting point for individuals who want to pursue a career in AI and ML or want to expand their knowledge and skills in this field. It is also suitable for professionals in non-technical roles who want to understand the basics of AI and how it can be used to drive business growth and innovation. Passing AI-900-KR exam can help candidates demonstrate their expertise in AI concepts and their ability to work with Azure AI services, making them stand out in a competitive job market.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

Microsoft AI-900: Microsoft Azure AI Fundamentals is an excellent starting point for individuals who want to explore the world of AI and its implementation on Azure. AI-900-KR exam tests individuals' knowledge on AI concepts, machine learning algorithms, and data processing techniques. AI-900-KR exam is suitable for individuals who want to start a career in AI, IT professionals, and individuals who want to expand their knowledge on AI and Azure. With the right preparation, individuals can pass the exam and showcase their skills and expertise in AI and Azure.

Exam Topics

The potential candidates for this certification test must develop their skills in its topics before attempting it. It is recommended to go through the official webpage to review the detailed objectives. Microsoft updates the topics of its exams regularly, so studying the latest domains is very important to your success in the test. Thus, Microsoft AI-900 covers the following sections:

Describe AI Considerations and Workloads (15-20%)

The first topic evaluates the following skills:

• Identify the common AI Workloads features – You should be able to identify a variety of workloads, such as forecasting/prediction, computer vision, and conversational AI. The subsection also covers the characteristics of anomaly detection workloads, knowledge mining, and natural language processing workloads.
• Identify the guiding principles associated with responsible Artificial Intelligence – This one will evaluate the candidates’ ability to explain some concepts. These include considerations of safety and reliability in AI solutions and considerations for fairness in AI solutions. It also covers considerations for security and privacy, transparency, inclusiveness, and accountability within an AI solution.

Certification Path

The Azure AI Fundamentals certification might not be a prerequisite for any other certification levels, however, it can still be used to prepare for multiple Azure-related qualifications including the Microsoft Certified: Azure Data Scientist Associate and the Microsoft Certified: Azure AI Engineer Associate.

Microsoft AI-900 Korean Exam Syllabus Topics: