Exam AI-900: Microsoft Azure AI Fundamentals
Which two specialized domain models are supported by using the computer vision service? Each correct answer presents a complete solution.
1. Celebrities 2. Landmarks
Which two specialized domain models are supported by computer vision when categorizing an image? Each correct answer presents a complete solution.
1. Celebrities 2. Landmarks
Which three parts of the machine learning process does the computer vision service eliminate the need for? Each correct answer presents part of the solution.
1. Choosing a model 2. Evaluating a model 3. Training a model
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.
1. Classification 2. Regression 3. Time-series forecasting
What is used to test a Language Understanding app model?
An utterance
Which process allows you to use optical character recognition (OCR)?
Digitizing medical records
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 Tip: Multiple linear regression models a relationship between two or more features and a single label, which matches the scenario in this item.
Which feature of computer vision involves associating an image with metadata that summarizes the attributes of the image?
Tagging
Which tool provides the easiest way to create a knowledge base for Azure Bot Service?
The Language Studio
Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of data searchable?
Knowledge mining
In a regression machine learning algorithm, what are the characteristics of features and labels in a training dataset?
Known features and label values
Which principle 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 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 (Tip: Vectorization captures semantic relationships between words by assigning them to locations in n-dimensional space. Lemmatization, also known as stemming, normalizes words before counting them. Frequency analysis counts how often a word appears in a text. N-grams extend frequency analysis to include multi-term phrases.)
A company wants to predict household water use based on the number of people in a house, the weather temperature, and the time of year. In terms of data labels and features, what is the label in this use case?
Water use
Which type of artificial intelligence (AI) workload is used to monitor credit card transactions?
Which type of artificial intelligence (AI) workload is used to monitor credit card transactions?
Which type of artificial intelligence (AI) workload relies on sensors to proactively detect an impending failure of electronic equipment?
anomaly detection
For which scenario should you use anomaly detection?
detecting credit card fraud
Which artificial intelligence (AI) workload scenario is an example of natural language processing (NLP)?
extracting key phrases from a business insights report
Which Azure AI Service for Language feature allows you to analyze written articles to extract information and concepts, such as people and locations, for classification purposes?
named entity recognition
Which type of translation does the Azure AI Translator service support?
text to text Tip: The Azure AI Translator service supports text-to-text translation, but it does not support speech-to-text, text-to-speech, or speech-to-speech translation.
Which feature makes regression an example of supervised machine learning?
use of historical data with known label values to train a model
Which machine learning algorithm module in the Azure Machine Learning designer is used to train a model?
Linear regression
What allows you to identify different types of bone fractures in X-ray images?
Image classification
What is an unsupervised machine learning algorithm module for training models in the Azure Machine Learning designer?
K-Means Clustering
In a regression machine learning algorithm, what are the characteristics of features and labels in a validation dataset?
Known features and label values Tip: In a regression machine learning algorithm, a validation set contains known feature and label values.
Which feature of the Translator service is available only to Custom Translator?
Model training with a dictionary (Tip: Model training with a dictionary can be used with Custom Translator when you do not have enough parallel sentences to meet the 10,000 minimum requirements. The resulting model will typically complete training much faster than with full training and will use the baseline models for translation along with the dictionaries you have added.)
Which artificial intelligence (AI) workload scenario is an example of anomaly detection?
Monitoring the flow speed and low/high points of river water levels (Tips: Anomaly Detector service to detect abnormalities in time-series data.)
What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?
NaN Tip: NaN = Not a number; Unknown is a value with which the NaN confidence score is associated.
Which analytical task of the computer vision service returns bounding box coordinates?
Object detection
What allows you to identify different vehicle types in traffic monitoring images?
Object detection (Tip: Object detection can be used to evaluate traffic monitoring images to quickly classify specific vehicle types, such as car, bus, or cyclist. Image classification is part of computer vision that is concerned with the primary contents of an image..)
Which computer vision service provides bounding coordinates as part of its output?
Object detection (Tip: Object detection provides the ability to generate bounding boxes that identify the locations of different types of objects in an image, including the bounding box coordinates, designating the location of the object in the image.)
What can be used for an attendance system that can scan handwritten signatures?
Optical Character Recognition (OCR)
What can be used for an attendance system that can scan handwritten signatures?
Optical character recognition (OCR)
Which artificial intelligence (AI) technique should be used to extract the name of a store from a photograph displaying the store front?
Optical character recognition (OCR)
Which three values are returned by the language detection feature of the Azure AI Language service in Azure?
1. Language Name 2. ISO 6391 Code 3. Score
Which three sources can be used to generate questions and answers for a knowledge base? Each correct answer presents a complete solution.
1. a webpage 2. an existing FAQ document 3. manually entered data
Which three features are elements of the Speech service? Each correct answer presents a complete solution.
1. Language identification 2. Speaker recognition 3. Voice assistants (Tip: Language identification, speaker recognition, and voice assistants are all elements of the Speech service. Text translation and document translation are part of the Translator service.)
What are two main components of a conversational artificial intelligence (AI) solution? Each correct answer presents part of the solution.
1. a bot service 2. a knowledge base
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.
1. Face identification 2. Face verification (Tip: Face identification in the Face service can address one-to-many matching of one face in an image to a set of faces in a secure repository. Face verification has the capability for one-to-one matching of a face in an image to a single face from a secure repository or a photo to verify whether they are the same individual. Face attributes, the find similar faces operation, and Custom Vision do not verify the identity of a face.)
Which two principles of responsible artificial intelligence (AI) are most important when designing an AI system to manage healthcare data? Each correct answer presents part of the solution.
1. Accountability 2. Privacy and Security
What are two required services to build a conversational artificial intelligence (AI) solution in Azure? Each correct answer presents part of the solution.
1. Bot service 2. Language
Which two Form Recognizer models include identifying common data fields as part of its data extraction capabilities? Each correct answer presents a complete solution.
1. Business Card Model 2. Invoice Model
Which three data transformation modules are in the Azure Machine Learning designer? Each correct answer presents a complete solution.
1. Clean missing data 2. Normalize data 3. Select columns in dataset
For which two scenarios is the Universal Language Model used by the speech-to-text API optimized? Each correct answer presents a complete solution.
1. Conversational 2. Dictation
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.
1. DOC 2. PDF
What are the two main schema components of a Language Understanding app model? Each correct answer presents part of the solution.
1. Entities 2. Intents
Which three features are elements of the Azure AI Language Service? Each correct answer presents a complete solution.
1. Entity Linking 2. Personally Identifiable Information detection 3. Sentiment analysis
A bank is developing a new artificial intelligence (AI) system to support the process of accepting or rejecting mortgage applications. Which two issues should be considered as part of the responsible AI principle of fairness to avoid biased decision making? Each correct answer presents part of the solution.
1. Ethnicity 2. Gender
Which two features of Azure Cognitive Services allow you to identify issues from support question data, as well as identify any people and products that are mentioned? Each correct answer presents part of the solution.
1. key phrase extraction 2. named entity recognition
Which two artificial intelligence (AI) workload scenarios are examples of natural language processing (NLP)? Each correct answer presents a complete solution.
1. performing sentiment analysis for social media data 2. translating text between different languages from product reviews
Which two capabilities are supported natively by Azure Bot Service? Each correct answer presents a complete solution.
1. responding to email questions 2. responding to new student FAQs
Which two Azure Cognitive Services features can be used to enable both text-to-text and speech-to-text between multiple languages? Each correct answer presents part of the solution.
1. the Speech service 2. the Language service
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.
A. Classification B. Regression C. Time-series forecasting
Which two Azure AI Services features can be used to enable both text-to-text and speech-to-text between multiple languages? Each correct answer presents part of the solution.
A. Speech service B. Translator service
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.
A. Weather B. Weekend or weekday
For which two scenarios is the Universal Language Model used by the speech-to-text API optimized? Each correct answer presents a complete solution.
A. conversational B. dictation Tip: The Universal Language Model used by the speech-to-text API is optimized for conversational and dictation scenarios. The acoustic, language, and pronunciation scenarios require developing your own model.
Which principle of responsible artificial intelligence (AI) defines the framework of governance and organization principles that meet ethical and legal standards of AI solutions?
Accountability (Tip: Accountability defines the framework of governance and organizational principles, which are meant to ensure that AI solutions meet ethical and legal standards that are clearly defined.)
You need to use the Azure Machine Learning designer to train a machine learning model. What should you do first in the Machine Learning designer?
Add a dataset THERE MIGHT BE AN ERROR IN THE PRACTICE TEST. (Tip: Before you can start training a machine learning model, you must first create a pipeline in the Machine Learning designer. This is followed by adding a dataset, adding training modules, and eventually deploying a service.)
Which Azure resource provides direct access to both Translator and Speech services through a single endpoint and authentication key?
Azure Cognitive Services (Tip: Azure Cognitive Services provides direct access to both Translator and Speech services through a single endpoint and authentication key. Language service can be used to access the Language service, but not the Translator and Speech services.)
Which type of service provides a platform for conversational artificial intelligence (AI)?
Bot Services
A company deploys an online marketing campaign to social media platforms for a new product launch. The company wants to use machine learning to measure the sentiment of users on the Twitter platform who made posts in response to the campaign. Which type of machine learning is this?
Classification
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
A company deploys an online marketing campaign to social media platforms for a new product launch. The company wants to use machine learning to measure the sentiment of users on the Twitter platform who made posts in response to the campaign. Which type of machine learning is this?
Classification (Tip: Classification is used to predict categories of data. It can predict which category or class an item of data belongs to. In this example, sentiment analysis can be carried out on the Twitter posts with a numeric value applied to the posts to identify and classify positive or negative sentiment.)
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 machine learning algorithm groups observations is based on the similarities of features?
Clustering Tip: Clustering algorithms group data points that have similar characteristics. Classification is used to predict a predefined category to which an input value belongs.
Which additional piece of information is included with each phrase returned by an image description task of the computer vision service?
Confidence score
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 (Tip: To deploy a predictive service from a newly trained model by using the Machine Learning designer, you must first create a pipeline in the Machine Learning designer. Adding training modules by using the Machine Learning designer takes place before creating a trained model, which already exists. Adding a dataset by using the Machine Learning designer requires that a pipeline already exists. To create an inferencing cluster, you must use Machine Learning studio.)
Which service can you use to train an image classification model?
Custom Vision (Tip: Custom Vision is an image recognition service that allows you to build and deploy your own image models. The computer vision service, Face service, and Language service do not provide the capability to train your own image model.)
Which process allows you to use object detection? A. Analyzing sentiment around news articles B. Extracting text from manuscripts C. Granting employee access to a secure building D. Tracking livestock in a field
D. Tracking livestock in a field
Which assumption of the multiple linear regression model should be satisfied to avoid misleading predictions?
Features are independent of each other (Tip: The features must be independent of each other, otherwise, the model's predictions will be misleading.)
You are exploring solutions to improve the document search and indexing service for employees. You need an 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
Which artificial intelligence (AI) technique serves as the foundation for modern image classification solutions?
Deep Learning
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. Tip: You can deploy the best performing model for client applications to use over the internet by using an endpoint. Compute clusters are used to train the model and are created directly after you create a Machine Learning workspace. Before you can test the model's endpoint, you must deploy it first to an endpoint. Automated ML performs the validation automatically, so you do not need to split the dataset.
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
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 (Tip: Entity Linking identifies and disambiguates the identity of entities found in a text. Key phrase extraction is not used to extract entities and is used instead to extract key phrases to identify the main concepts in a text. Named entity recognition cannot provide a link for each entity to view further information.)
Which feature of the Azure AI Language service includes functionality that returns links to external websites to disambiguate terms identified in a text?
Entity recognition Tip: Includes Entity Linking
What is the purpose of a validation dataset used for as 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
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 bot communication channel requires an application to be registered with the channel?
Which computer vision solution provides the ability to identify a person's age based on a photograph?
Facial detection
Which principle of responsible artificial intelligence (AI) plays the primary role when implementing an AI solution that meet qualifications for business loan approvals?
Fairness (Tip: Fairness is meant to ensure that AI models do not unintentionally incorporate a bias based on criteria such as gender or ethnicity)
Which principle of responsible artificial intelligence (AI) involves evaluating and mitigating the bias introduced by the features of a model? Select only one answer.
Fairness Tip: think of race / gender in loan approval predictions
An electricity utility company wants to develop a mobile app for its customers to monitor their energy use and to display their predicted energy use for the next 12 months. The company wants to use machine learning to provide a reasonably accurate prediction of future energy use by using the customers' previous energy-use data. Which type of machine learning is this?
Regression
Predicting rainfall for a specific geographical location is an example of which type of machine learning?
Regression
Which type machine learning algorithm predicts a numeric label associated with an item based on that item's features?
Regression
A company is currently developing driverless agriculture vehicles to help harvest crops. The vehicles will be deployed alongside people working in the crop fields, and as such, the company will need to carry out robust testing. Which principle of responsible artificial intelligence (AI) is most important in this case?
Reliability and safety
What is the first step in the statistical analysis of terms in a text in the context of natural language processing (NLP)?
Removing stop words Tip: - Encoding words as numeric features is not part of statistical analysis - it is frequently used in sentiment analysis - Vectorized model is not part of statistical analysis - it is used to capture the semantic relationship between words
Which Azure AI 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
What should you do after preparing a dataset and before training the machine learning model?
Split the data into training and validation datasets Tip: Splitting data into training and validation datasets leaves you with two datasets, the first and largest of which is the training dataset you use to train the model. The second, smaller dataset is the held back data and is called the validation dataset, as it is used to evaluate the trained model. If normalizing or summarizing the data is required, it will be carried out as part of data transformation. Cleaning missing data is part of preparing the data and the data transformation processes.
Which natural language processing (NLP) technique normalizes words before counting them?
Stemming (Tip: Stemming normalizes words before counting them. Frequency analysis counts how often a word appears in a text. N-grams extend frequency analysis to include multi-term phrases. Vectorization captures semantic relationships between words by assigning them to locations in n-dimensional space.)
Which part of speech synthesis in natural language processing (NLP) involves breaking text into individual words such that each word can be assigned phonetic sounds?
Tokenization
Which principle of responsible artificial intelligence (AI) is applied in the design of an AI system to ensure that users understand constraints and limitations of AI?
Transparency (Tip: The transparency principle states that AI systems must be designed in such a way that users are made fully aware of the purpose of the systems, how they work, and which limitations can be expected during use.)
You plan to use machine learning to predict the probability of humans developing diabetes based on their age and body fat percentage. What should the model include?
Two features and one label
