Free Microsoft Azure AI Fundamentals (AI-900) Questions and Answers

Question 1

In this computer vision challenge, each pixel in an image is categorized according to the object to which it belongs.

Accepted Answer

Semantic Segmentation

Answer

Semantic segmentation is a computer vision task where each pixel in an image is classified with a label corresponding to a predefined object class. Unlike object detection, which draws bounding boxes, semantic segmentation provides a pixel-level understanding of the image, delineating the exact boundaries of each object.

Question 2

With the aid of this computer vision approach, text may be found and read within images.

Accepted Answer

Optical Character Recognition

Answer

Optical Character Recognition (OCR) is a computer vision technique specifically designed to detect and extract text from images, whether they are scanned documents, photos, or screenshots. It converts various types of documents into editable and searchable data, making text within images readable by machines.

Question 3

Which of these can be utilized to develop conversational AI?

Accepted Answer

Q&A Maker

Answer

Azure QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows users to create a conversational layer over their data. It enables the creation of knowledge bases from existing content and provides an API to integrate question-and-answer capabilities into applications and bots, effectively building conversational AI.

Question 4

Which of the following resources cannot be produced using Azure Machine Learning Studio?

Accepted Answer

Compute Balancers

Answer

Azure Machine Learning Studio provides various compute resources for training and deploying models, including Compute Instances (managed workstations), Compute Clusters (scalable training environments), and Inference Clusters (for deploying models). 'Compute Balancers' is not a standard resource type offered within Azure Machine Learning Studio.

Question 5

Which would be utilized to determine the category to which an item belongs?

Accepted Answer

Classification

Answer

Classification is a supervised machine learning task used to predict a categorical label for a given input. The goal is to assign an item to one of several predefined categories or classes based on its features, such as determining the type of an object or categorizing an email.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Free Microsoft Azure AI Fundamentals (AI-900) Questions and Answers