The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Table of Contents
Question 811
Which type of computer vision was used?
A. Optical character recognition (OCR)
B. Object detection
C. Semantic segmentation
D. Image classification
Answer
B. Object detection
Explanation
Object detection is a form of machine learning based computer vision in which a model is trained to recognize individual types of object in an image, and to identify their location in the image.
Question 812
You’re working on an Al application that needs to determine the location of cars in an image so that it can estimate the distance between the cars. Which computer vision service should you use?
A. Semantic segmentation
B. Image classification
C. Object detection
D. Facial recognition
Answer
C. Object detection
Explanation
Object detection is a form of machine learning based computer vision in which a model is trained to recognize individual types of object in an image, and to identify their location in the image.
Question 813
Your application must be capable of identifying celebrities,landmarks and brands from images. Which Al cognitive service should you use for this scope?
A. Computer Vision
B. Video indexer
C. Custom vision
Answer
A. Computer Vision
Explanation
Computer Vision offers the capability of identifying celebrities, landmarks or brands from images.
Question 814
Detecting image color schemes is a capability of Computer vision service. True or False?
A. True
B. False
Answer
A. True
Explanation
Computer Vision service has additional capabilities, such as detecting image color schemes.
Question 815
Which two tasks can be performed by using the Computer Vision service?
Select all that apply.
A. Extract text from scanned documents
B. Extract written text from an image
C. Detect objects in an image.
D. Translate the text in an image
Answer
A. Extract text from scanned documents
B. Extract written text from an image
C. Detect objects in an image.
Explanation
Computer Vision offers a variety of features, such as extracting written text from images and documents, detecting objects in images, and several other.
Question 816
Extreme angles do not impair facial detection in images. True or False?
A. True
B. False
Answer
B. False
Explanation
Extreme angles may impair facial detection in images.
Question 817
You work for a social media company and you need to implement an Al solution that can detect images that contain adult content or depict gory, violent scenes before they are posted and shared. Which Al workload should you use?
A. Object detection
B. Form recognizer
C. Content moderator
Answer
C. Content moderator
Question 818
In a machine learning algorithm, what method should you use to split data for training and evaluation?
A. Use features for training and labels for evaluation
B. Randomly split the data into rows for training and columns for evaluation
C. Randomly split the data into rows for training and rows for evaluation
D. Use labels for training and features for evaluation
Answer
C. Randomly split the data into rows for training and rows for evaluation
Explanation
In Azure Machine Learning, the percentage split is the available technique to split the data. In this technique, random data of a given percentage will be split to train and test data.
Question 819
Let’s suppose you want to create an Al system that can predict how many minutes late a flight will arrive based on the amount of snowfall at an airport. Which machine learning type should you use?
A. Classification
B. Regression
C. Clustering
Answer
B. Regression
Explanation
Regression is a supervised machine learning technique used to predict numeric values.
Question 820
Predicting how many minutes it will take someone to run a race based on past race times is a use case for?
A. Clustering
B. Classification
C. Regression
Answer
C. Regression
Explanation
Regression is a supervised machine learning technique used to predict numeric values.