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Microsoft AI-900
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Microsoft AI-900 Questions and Answers
Match the types of computer vision to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items.
Which type of AI workload should the company use?
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
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Microsoft Azure AI Fundamentals is an introductory certification that provides a foundational understanding of AI concepts and how to implement AI solutions using Microsoft Azure services.
The target audience includes individuals interested in AI but without technical expertise, IT professionals looking to expand their knowledge, and developers and data scientists seeking a broader AI perspective.
No prior data science or software engineering experience is required.
The certification covers AI workloads like computer vision, natural language processing, document intelligence, and generative AI, as well as fundamental machine learning principles and Azure AI services.
The associated vendor is Microsoft.
The exam is called AI-900.
The exam covers describing AI workloads, fundamental machine learning principles, computer vision, natural language processing, generative AI, and responsible AI.
While there are no formal prerequisites, a basic understanding of cloud computing and computer science concepts is beneficial.
No, there is no age limit.
You can retake the exam after 24 hours initially, then every 14 days for the next four attempts. A maximum of five attempts is allowed within 12 months.
Effective strategies include reviewing exam objectives, using practice exams, focusing on weak areas, and seeking additional resources.
If you fail, analyze your performance, reassess your study strategy, practice, retake the exam, or consider alternative paths like other certifications or practical experience.
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TESTED 21 Sep 2024
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