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Microsoft AI-900 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Features of generative AI workloads on Azure	20–25%	- Describe use cases for generative AI - Describe responsible AI practices for generative AI - Describe generative AI concepts - Describe capabilities of Azure OpenAI Service
Topic 2: Features of computer vision workloads on Azure	15–20%	- Describe capabilities of Azure Form Recognizer - Identify types of computer vision solutions - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Face - Describe capabilities of Azure Computer Vision
Topic 3: Fundamental principles of machine learning on Azure	15–20%	- Describe machine learning pipelines - Describe core concepts of machine learning - Describe capabilities of Azure Machine Learning - Describe automated machine learning
Topic 4: Artificial Intelligence workloads and considerations	15–20%	- Identify types of AI workloads - Describe responsible AI principles - Describe considerations for developing AI solutions
Topic 5: Features of Natural Language Processing (NLP) workloads on Azure	15–20%	- Identify types of NLP solutions - Describe capabilities of Azure Speech - Describe capabilities of Azure Language - Describe capabilities of Azure Translator

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Microsoft Azure AI Fundamentals Sample Questions (Q306-Q311):

NEW QUESTION # 306
Select the answer that correctly completes the sentence.

Answer:

Explanation:

NEW QUESTION # 307
You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Last Name
B. Education Level
C. First Name
D. Income Range
E. Age

Answer: B,E

Explanation:
First Name, Last Name, Age and Education Level are features. Income range is a label (what you want to predict). First Name and Last Name are irrelevant in that they have no bearing on income. Age and Education level are the features you should use.

NEW QUESTION # 308
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home custom vision - This is a type of computer vision service which helps in building/training models using user provided data Creating an object detection solution with Custom Vision consists of three main tasks. First you must use upload and tag images, then you can train the model, and finally you must publish the model so that client applications can use it to generate predictions.
https://docs.microsoft.com/en-us/learn/modules/detect-objects-images-custom-vision/2-object-detection-azure

NEW QUESTION # 309
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features

NEW QUESTION # 310
What is a use case for classification?

A. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
B. predicting how many cups of coffee a person will drink based on how many hours the person slept the previous night.
C. analyzing the contents of images and grouping images that have similar colors
D. predicting how many minutes it will take someone to run a race based on past race times

Answer: C

Explanation:
Classification is a machine learning method that uses data to determine the category, type, or class of an item or row of data.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize- model-clustering

NEW QUESTION # 311
......

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