Exam AI-900: Microsoft Azure AI Fundamentals
| Exam Number: AI-900 | Length of test: 120 mins |
| Exam Name: Microsoft Azure AI Fundamentals | Number of questions in the actual exam: 40-60 |
| Format: PDF, VPLUS | Passing Score: 700/1000 |
|
Total Questions: 268 $30 Premium PDF file 2 months updates Last updated: November-2024 |
Total Questions: 268 FREE Premium VPLUS file Last updated: November-2024 |
Download practice test questions
| Title | Size | Hits | Download |
|---|---|---|---|
| Microsoft.AI-900.vSep-2024.by.Ando.98q | 2.51 MB | 213 | Download |
| Microsoft.AI-900.vSep-2024.by.Ando.98q | 3.38 MB | 80 | Download |
| Microsoft.AI-900.vFeb-2024.by.VCEplus.110q | 4.61 MB | 220 | Download |
| Microsoft.AI-900.vJul-2024.by.Pandoie.178q | 5.92 MB | 192 | Download |
| Microsoft.AI-900.vApr-2024.by.ToanNguyen.116q | 4.47 MB | 228 | Download |
Study guide for Exam AI-900: Microsoft Azure AI Fundamentals
Audience profile
This exam is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this exam, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.
This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:
- Basic cloud concepts
- Client-server applications
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Skills at a glance
- Describe Artificial Intelligence workloads and considerations (15–20%)
- Describe fundamental principles of machine learning on Azure (20–25%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
- Describe features of generative AI workloads on Azure (15–20%)
Describe Artificial Intelligence workloads and considerations (15–20%)
- Identify features of common AI workloads
- Identify guiding principles for responsible AI
Describe fundamental principles of machine learning on Azure (20–25%)
- Identify common machine learning techniques
- Describe core machine learning concepts
- Describe Azure Machine Learning capabilities
Describe features of computer vision workloads on Azure (15–20%)
- Identify common types of computer vision solution
- Identify Azure tools and services for computer vision tasks
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
- Identify features of common NLP Workload Scenarios
- Identify Azure tools and services for NLP workloads
Describe features of generative AI workloads on Azure (15–20%)
- Identify features of generative AI solutions
- Identify capabilities of Azure OpenAI Service
Some new questions:
Q
Providing contextual information to improve the responses quality of a generative Al solution is an example of which prompt engineering technique?
A. providing examples
B. fine-tuning
C. grounding data
D. system messages
Q
Which term is used to describe uploading your own data to customize an Azure OpenAI model?
A. completion
B. grounding
C. fine -tuning
D. prompt engineering
….
Exam valid in CA?
Please reply soon.
Hi,
AI-900 valid in your country now.
thanks
hi,
AI-900 valid in next month?
AI 900 valid?
Please reply me soon. tks
Hi,
Exam AI-900 valid now.
Thanks
Some new questions:
Q
Which two resources can you use to analyze code and generate explanations of code function and code comments? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
A. the Azure OpenAI DALL-E model
B. the Azure OpenAI Whisper model
C. the Azure OpenAI GPT-4 model
D. the GitHub Copilot service
Q
You need to count the number of animals in a photograph. Which type of computer vision should you use?
A. facial detection
B. image classification
C. optical character recognition (OCR)
D. object detection
Q
You need to analyze images of vehicles on a highway and measure the distance between the vehicles. Which type of computer vision model should you use?
A. object detection
B. image classification
C. facial recognition
D. optical character recognition (OCR)
Q
You need to provide customers with the ability to query the status of orders by using phones, social media, or digital assistants.
What should you use?
A. Azure Al Bot Service
B. the Azure Al Translator service
C. an Azure Al Document Intelligence model
D. an Azure Machine Learning model
…………….
I have a test on 5 days in CA.
Exam valid in my country?
Hi,
AI-900 is valid now.
You can learn it.
Thanks