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Detecting anomalies in the data can help to avoid some mistakes. The purpose is to use the machine learning algorithms to solve problems. Syllabus for the Microsoft AI-900 exam is the correct use of the data for this service. Vendor links are used for this purpose. The platform is used to get the information from the Microsoft Azure AI Fundamentals Exam. Percentage of the data is used for this purpose. Validation and test is required for this purpose. Fairness is used for this purpose. Matrix factorization is used for the training.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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Bearable cost
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Skills measured
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe AI workloads and considerations (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
Microsoft Azure AI Fundamentals Exam Certification Details:
Sample Questions | Microsoft Azure AI Fundamentals Sample Questions |
Passing Score | 700 / 1000 |
Exam Code | AI-900 |
Number of Questions | 40-60 |
Books / Training | Course AI-900T00: Microsoft Azure AI Fundamentals |
Exam Name | Microsoft Certified - Azure AI Fundamentals |
Duration | 60 mins |
Schedule Exam | Pearson VUE |
Exam Price | $99 (USD) |

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