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Microsoft AI-900 Exam Questions
- Topic 1: Describe Artificial Intelligence workloads and considerations: It identifies specifications of common AI workloads and guiding principles for responsible AI.
- Topic 2: Describe fundamental principles of machine learning on Azure: It describes core machine learning concepts and Azure Machine Learning capabilities. Moreover, the topic also delves into identifying common machine learning techniques.
- Topic 3: Describe features of computer vision workloads on Azure: This topic discusses identifying common types of computer vision solution, Azure tools and services for computer vision tasks.
- Topic 4: Describe features of Natural Language Processing (NLP) workloads on Azure: In this topic, questions about common NLP Workload Scenarios features, Azure tools, and services for NLP workloads appear.
- Topic 5: Describe features of generative AI workloads on Azure: Features of generative AI solutions and capabilities of Azure OpenAI Service are discussed in this topic.
Free Microsoft AI-900 Exam Actual Questions
Note: Premium Questions for AI-900 were last updated On Dec. 21, 2024 (see below)
You plan to use Azure Machine Learning Studio and automated machine learning (automated ML) to build and train a model What should you create first?
You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant the total spent and any taxes paid.
Which Azure Al service should you use?
What should you implement to identify hateful responses returned by a generative Al solution?
You are building an Al-based loan approval app.
You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.
This is an example of which Microsoft responsible Al principle?
Which Azure Al Document Intelligence prebuilt model should you use to extract parties and jurisdictions from a legal document?
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