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Microsoft AI-900 exam measures the candidates' knowledge of essential AI concepts, including data analysis, machine learning, and natural language processing. AI-900 exam also covers the Azure services that support AI, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. Passing AI-900 Exam demonstrates that the candidate has a foundational understanding of AI and its applications in Azure and is capable of working with these technologies.
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Microsoft AI-900, also known as the Microsoft Azure AI Fundamentals Certification Exam, is a popular certification exam offered by Microsoft. AI-900 Exam is designed for individuals who want to demonstrate their knowledge of artificial intelligence (AI) and its applications in the cloud. Microsoft Azure AI Fundamentals certification is ideal for those who are interested in pursuing a career in AI development or those who want to enhance their skills in this field.
NEW QUESTION # 212
You need to create a training dataset and validation dataset from an existing dataset.
Which module in the Azure Machine Learning designer should you use?
Answer: C
Explanation:
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data.
Use the Split Data module to divide a dataset into two distinct sets.
The studio currently supports training/validation data splits
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-configure-cross-validation-data-splits2
NEW QUESTION # 213
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
Explanation
B: Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
E: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents. It uses the latest models and works with text on a variety of surfaces and backgrounds. These include receipts, posters, business cards, letters, and whiteboards. The two OCR APIs support extracting printed text in several languages.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview
NEW QUESTION # 214
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks
NEW QUESTION # 215
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles AI systems should perform reliably and safely. For example, consider an AI-based software system for an autonomous vehicle; or a machine learning model that diagnoses patient symptoms and recommends prescriptions. Unreliability in these kinds of system can result in substantial risk to human life.
https://docs.microsoft.com/en-us/learn/modules/get-started-ai-fundamentals/7-understand-responsible-ai
NEW QUESTION # 216
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 217
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