Microsoft Azure AI Fundamentals Practice Test
You plan to use machine learning to predict the probability of humans developing diabetes based on their age and body fat percentage. What number of features and labels should the model include?
two features and one label
Which feature makes regression an example of supervised machine learning? - use of randomly generated data with known label values to train a model - use of randomly generated data with unknow label values to train a model - use of historical data with known label values to train a model - use of historical data with unknown label values to train a model
use of historical data with known label values to train a model
Which natural language processing (NLP) technique assigns values to words such as plant and flower, so that they are considered closer to each other than a word such as airplane?
vectorization
Which two prebuilt models allow you to use the Form Recognizer service to scan information from international passports and sales accounts? Each correct answer presents part of the solution.
ID document model invoice model
What is an unsupervised machine learning algorithm module for training models in the Azure Machine Learning designer?
K-Means Clustering
Which feature of the Translator service is available only to Custom Translator? - document translation - model training with a dictionary - speaker recognition - text translation
model training with a dictionary
Which feature of computer vision involves associating an image with metadata that summarizes the attributes of the image?
tagging
Which principles of responsible artificial intelligence (AI) raises awareness about the limitations of AI-based solutions?
transparency
You need to use the Azure Machine Learning designer to deploy a predictive service from a newly trained model. What should you do first in the Machine Learning designer?
Create an inference pipeline.
You train a regression model by using automated machine learning (automated ML) in the Azure Machine Learning studio. You review the best model summary. You need to publish the model for others to use from the internet. What should you do next?
Deploy the model to an endpoint.
When using the Face Detect API of the Face service, which feature helps identify whether a human face has glasses or headwear?
Face attributes
Which two types of files can be imported to generate a knowledge base for use with Azure Bot Service? Each correct answer presents a complete solution. - CSV - DOC - MP4 - PDF - ZIP
- DOC - PDF
Which three features are elements of the Language Service? Each correct answer presents a complete solution. - Anomaly detection - Content Moderator - Entity Linking - Personally Identifiable Information (PII) detection - Sentiment Analysis
- Entity Linking - Personally Identifiable Information (PII) detection - Sentiment analysis
Which three sources can be used to generate questions and answers for a knowledge base? Each correct answer presents a complete solution. - a webpage - an audio file - an existing FAQ document - an image file - manually entered data
- a webpage - an existing FAQ document - manually entered data
A company is using machine learning to predict various aspects of its e-scooter hire service dependent on weather. This includes predicting the number of hires, the average distance traveled, and the impact on e-scooter battery levels. For the machine learning model, which two attributes are the features? Each correct answer presents a complete solution. - distance traveled - e-scooter battery levels - e-scooter hires - weather temperature - weekday or weekend
- distance traveled - weekday or weekend
Which three features are elements of the Speech service? Each correct answer presents a complete solution. - document translation - language identification - speaker recognition - text translation - voice assistants
- language identification - speaker recognition - voice assistants
Which two artificial intelligence (AI) workload features are part of the computer vision service? Each correct answer presents a complete solution. - entity recognition - key phrase extraction - optical character recognition (OCR) - sentiment analysis - spatial analysis
- optical character recognition (OCR) - spatial analysis
Which two artificial intelligence (AI) workload scenarios are examples of natural language processing (NLP)? Each correct answer presents a complete solution. - extracting handwritten text from online images - generating tags and description for images - monitoring network traffic for sudden spikes - performing sentiment analysis on social media data - translating text between different languages from product reviews
- performing sentiment analysis on social media data - translating text between different languages from product reviews
Which Azure resource provides direct access to both Translator and Speech services through a single endpoint and authentication key?
Azure Cognitive Services
What are two main components of a conversational artificial intelligence (AI) solution? Each correct answer presents part of the solution.
a bot service & a knowledge base
You need to create an automated machine learning (automated ML) model. Which resource should you create first in Azure Machine Learning studio?
a dataset
What is used to test a Language Understanding app model?
an utterance
Which type of artificial intelligence (AI) workload is used to monitor credit card transactions?
anomaly detection
Which type of service provides a platform for conversational artificial intelligence (AI)?
bot services
Which two Form Recognizer models include identifying common data fields as part of its data extraction capabilities? Each correct answer presents a complete solution.
business card model invoice model
A healthcare organization has a dataset consisting of bone fracture scans that are categorized by using predefined fracture types. The organization wants to use machine learning to detect the different types of bone fractures for new scans before the scans are sent to a medical practitioner. Which type of machine learning is this?
classification
Which type of machine learning algorithm assigns items to a set of predefined categories?
classification
Which three supervised machine learning models can you train by using automated machine learning (automated ML) in the Azure Machine Learning studio? Each correct answer presents a complete solution.
classification regression time-series forecasting
A retailer wants to group together online shoppers that have similar attributes to enable its marketing team to create targeted marketing campaigns for new product launches. which type of machine learning is this?
clustering
Which type of machine learning algorithm finds the optimal way to split a dataset into groups without relying on training and validating label predictions?
clustering
Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of data searchable?
knowledge mining
You are exploring solutions to improve the document search and indexing service for employees. You need artificial intelligence (AI) search solution that will include searching text in various types of documents, such as images. Which type of AI workload is this?
data mining
For which scenario should you use anomaly detection? - classifying images of plants - detecting credit card fraud - detecting medical issues in scanned images - searching for information contained in a large collection of documents
detecting credit card fraud
Which process allows you to use optical character recognition (OCR)? - translating speech to text - identifying access control for a laptop - digitizing medical records - identifying wildlife in an image
digitizing medical records
When using the Azure Cognitive Service for Language, what should you use to provide further information online about entities extracted from a text?
entity linking
Which feature of the Language service includes functionality that returns links to external websites to disambiguate terms identified in a text?
entity recognition
What is the purpose of a validation dataset used for a part of the development of a machine learning model?
evaluating the trained model
Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)? - extracting key phrases from a business insights report - identifying objects in landscape images - monitoring for sudden increases in quantity of failed sign-in attempts - predicting whether customers are likely to buy a product based on previous purchases
extracting key phrases from a business insights report
When using the Face service, what should you use to perform one-to-many or one-to-one face matching? Each correct answer presents a complete solution.
face identification face verification
Which computer vision solution provides the ability to identify a person's age based on a photograph?
facial detection
Which principles of responsible artificial intelligence (AI) has the objective of ensuring that AI solutions benefit all parts of society regardless of gender or ethnicity?
inclusiveness
Which artificial intelligence (AI) workload scenario is an example of anomaly detection? - monitoring traffic to identify types of vehicles - monitoring the flow speed and low/high points of river water levels - using a chatbot to provide an FAQ service for customer questions - using a search solution to search and extract information from a range of data sources
monitoring the flow speed and low/high points of river water levels
You need to identify numerical values that represent the probability of humans developing diabetes based on age and body fat percentage. Which type of machine learning model should you use?
multiple linear regression
What allows you to identify different vehicle types in traffic monitoring images?
object detection
Which analytical task of the computer vision service returns bounding box coordinates?
object detection
What can be used for an attendance system that can scan handwritten signatures?
optical character recognition (OCR)
Predicting rainfall for a specific geographical location is an example of which type of machine learning?
regression
Which Azure Cognitive Service for Language feature can be used to analyze online user reviews to identify whether users view a product positively or negatively?
sentiment analysis
Which feature of the Speech service can identify distinct user voices?
speech recognition
Which natural language processing (NLP) technique normalizes words before counting them?
stemming
