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Microsoft AI-900 Exam Summary:-
- Exam Name: Microsoft Certified – Azure AI Fundamentals
- Exam Code: AI-900
- Exam Price: $99 (USD)
- Duration: 60 mins
- Number of Questions: 40-60
- Passing Score: 700 / 1000
Microsoft AI-900 Exam Topics:-
1. Describe Artificial Intelligence workloads and considerations (20-25%)
2. Describe fundamental principles of machine learning on Azure (25-30%)
3. Describe features of computer vision workloads on Azure (15-20%)
4. Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)
Improve Your Knowledge-Base:
Get access to some of the sample AI-900 practice test questions to boost your knowledge base. Preparation is a continuous process for some time, and you must always try to keep improving via learning. Access the questions from anywhere and from any device. The easy availability of the questions would help you to get better with the AI-900 exam topics. You can solve these questions easily or learn new things from them.
Here Are Some Useful Questions:
01. You have a frequently asked questions (FAQ) PDF file. You need to create a conversational support system based on the FAQ. Which service should you use?
a) QnA Maker
b) Text Analytics
c) Computer Vision
d) Language Understanding (LUIS)
Answer: a
02. Which two components can you drag onto a canvas in Azure Machine Learning designer?
Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
a) dataset
b) compute
c) pipeline
d) module
Answer: a, d
03. 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.
a) Predict stock prices.
b) Detect brands in an image.
c) Detect the color scheme in an image
d) Translate text between languages.
e) Extract key phrases.
Answer: b, e
04. Which two of these sources can you translate from one language into another?
a) Image
b) Handwriting
c) Text
d) Video
e) Speech
Answer: c, e
05. Which AI service can you use to interpret the meaning of a user input such as “Call me back later?”
a) Translator Text
b) Speech
c) Text Analytics
d) Language Understanding (LUIS)
Answer: c
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