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Certification Topics of Microsoft AI-900 Exam
Our Microsoft AI-900 exam dumps covers the following objectives of Microsoft AI-900 Exam.
- Describe AI workloads and considerations (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
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Skills measured
- Describe AI workloads and considerations (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe features of conversational AI workloads on Azure (15-20%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
Microsoft AI-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Artificial Intelligence workloads and considerations | 15–20% | - Describe considerations for developing AI solutions - Describe responsible AI principles - Identify types of AI workloads |
| Topic 2: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Face - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Form Recognizer |
| Topic 3: Features of generative AI workloads on Azure | 20–25% | - Describe generative AI concepts - Describe responsible AI practices for generative AI - Describe capabilities of Azure OpenAI Service - Describe use cases for generative AI |
| Topic 4: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning - Describe automated machine learning |
| Topic 5: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Translator - Identify types of NLP solutions - Describe capabilities of Azure Speech - Describe capabilities of Azure Language |
Microsoft Azure AI Fundamentals Sample Questions:
You have an Azure subscription that uses Azure OpenAI.
You need to create an original image of a rural scene to use on a website.
What should you do?
- A. From GitHub Copilot, provide instructions to create the image of the rural scene.
- B. From Azure Al Foundry, deploy a DALL-E model, and provide instructions to create the rural scene.
- C. From Microsoft Bing, search the term " rural scene " and download the results.
- D. From Azure Al Foundry, deploy a GPT-3.5 Turbo model and provide instructions to create the image of the rural scene.
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?
- A. clustering
- B. regression
- C. classification
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
Your company manufactures widgets.
You have 1.000 digital photos of the widgets.
You need to identify the location of the widgets within the photos.
What should you use?
- A. Custom Vision classification
- B. Custom Vision object detection
- C. Computer Vision Image Analysis
- D. Computer Vision Spatial Analysis
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You are developing a Chabot solution in Azure.
Which service should you use to determine a user's intent?
- A. Translator
- B. Language
- C. Speech
- D. Azure Cognitive Search
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You have an Al solution that provides users with the ability to control smart devices by using verbal commands.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. language modeling
- B. key phrase extraction
- C. text-to-speech
- D. speech-to-text
- E. translation
Correct Answer: A,D 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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