AI-900 Practice Questions

You have the following dataset: Household Income | Postal Code | House Price Category 20,000 | 55555 | Low 23,000 | 20541 | Middle 80,000 | 87960 | High You plan to use the dataset to train a model that will predict the house price categories of houses. What are Household Income and House Price Category? 1. Household Income 2. House Price Category A. Feature B. Label

1. A 2. B

Match the types of computer vision workloads to the appropriate scenarios. 1. Identify celebrities in images 2. Extract movie title names from movie poster images 3. Locate vehicles in images Workload Types A. Facial Recognition B. Image Classification C. Object Detection D. Optical character recognition (OCR)

1. A 2. D 3. C

Match the types of AI workloads to the appropriate scenarios. 1. Identify handwritten letters 2. Predict the sentiment of a social media post 3. Identify a fraudulent credit card payment 4. Predict next month's toy sales Workload Types A. Anomaly detection B. Computer vision C. Machine Learning (regression) D. Natural language processing

1. B 2. D 3. A 4. C

You are developing a model to predict events by using classification. You have a confusion matrix for the model scored on test data as shown in the following exhibit. Actual ________1____________0______ 1 | 11 | 5 | |_____________|______________| Predicted 0 | 1033 | 13951 | |_____________|_______________| 1. There are ______ correctly predicted positives. A. 5 B. 11 C. 1033 D. 13951 2. There are ______ false negatives. A. 5 B. 11 C. 1033 D. 13951

1. B. 11 2. C. 1033

Match the types of machine learning to the appropriate scenarios. 1. Predict how many minutes late a flight will arrive based on the amount of snowfall at an airport 2. Segment customers into different groups to support a marketing department 3. Predict whether a student will complete a university course. Learning Types A. Classification B. Clustering C. Regression

1. C 2. B 3. A

Match the types of AI workloads to the appropriate scenarios. 1. An automated chat to answer questions about refunds and exchange 2. Determining whether a photo contains a person 3. Determining whether a review is positive or negative Workload Types A. Anomaly Detection B. Computer Vision C. Conversational AI D. Knowledge Mining E. Natural Language Processing

1. C. Conversational AI 2. B. Computer Vision 3. E. Natural Language Processing

Match the machine learning tasks to the appropriate scenarios. 1. Examining the values of a confusion matrix 2. Splitting a date into month, day, and year fields 3. Picking temperature and pressure to train a weather model Learning Types A. Feature engineering B. Feature selection C. Model deployment D. Model evaluation E. Model training

1. D 2. A 3. B

Match the facial recognition tasks to the appropriate questions. 1. Do two images of a face belong to the same person? 2. Does this person look like other people? 3. Do all the faces belong together? 4. Who is this person in this group of people? A. grouping B. identification C. similarity D. verification

1. D 2. C 3. A 4. B

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. 1. Ensure that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation 2. Implementing processes to ensure that decisions made by AI systems can be overridden by humans 3. Provide consumers with information and controls over the collection, use, and storage of their data Principles A. Accountability B. Fairness C. Inclusiveness D. Privacy and Security E. Reliability and Safety

1. E. Reliability and Safety 2. A. Accountability 3. D. Privacy and Security

Yes or No 1. Forecasting housing prices based on historical data is an example of anomaly detection 2. Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection 3. Predicting whether a patient will develop diabetes based on the patient's medical history is an example of anomaly detection

1. No 2. Yes 3. No

Yes or No 1. Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline 2. Automated machine learning implements machine learning solutions without the need for programming experience 3. Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas

1. No 2. Yes 3. No

Yes or No 1. Labelling is the process of tagging training data with known values 2. You should evaluate a model by using the same data used to train the model 3. Accuracy is always the primary metric used to measure a model's performance

1. Yes 2. No 3. No

Yes or No 1. Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development. 2. Automated machine learning can automatically infer the training data from the use case provided 3. Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify 4. Automated machine learning enables you to specify a dataset and will automatically understand which label to predict

1. Yes 2. No 3. Yes 4. No

Yes or No 1. Azure Machine Learning designer provides a drag and drop visual canvas to build, text and deploy machine learning models 2. Azure Machine Learning designer enables you to save your progress as a pipeline draft 3. Azure Machine Learning designer enables you to include custom JavaScript functions

1. Yes 2. Yes 3. No

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? A. Use a graphical user interface (GUI) to run automated machine learning experiments. B. Create a compute instance to use as a workstation. C. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer. D. Create a dataset from a comma-separated value (CSV) file.

A C

You need to predict the income range of a given customer by using the following dataset: First Name, Last Name, Age, Education Level, Income Range Which two fields should you use as features? A. Education Level B. Last Name C. Age D. Income Range E. First Name

A C

Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution. A. dataset B. compute C. pipeline D. module

A D

A banking system that predicts whether a loan will be repaid is an example of the __________________________ type of machine learning. A. Classification B. Regression C. Clustering

A. Classification

You are building a tool that will process your company's product images and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use? A. Custom Vision B. Form Recognizer C. Face D. Computer Vision

A. Custom Vision

______________ _________________ is used to generate additional features. A. Feature engineering B. Feature selection C. Model evaluation D. Model training

A. Feature engineering

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents? A. Form Recognizer B. Text Analytics C. Ink Recognizer D. Custom Vision

A. Form Recognizer

Azure Machine Learning designer lets you create machine learning models by: A. adding and connecting modules on a visual canvas B. automatically performing common data preparation tasks C. automatically selecting an algorithm to build the most accurate model D. using a code-first notebook experience

A. adding and connecting modules on a visual canvas

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit. (Image contains fruits with boxes saying % likely banana, apple, orange) Which type of computer vision was used? A. object detection B. semantic segmentation C. optical character recognition (OCR) D. image classification

A. object detection

Which metric can you use to evaluate a classification model? A. true positive rate B. mean absolute error (MAE) C. coefficient of determination (R2) D. root mean squared error (RMSEA)

A. true positive rate

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution. A. Predict stock prices. B. Detect brands in an image. C. Detect the color scheme in an image D. Translate text between languages. E. Extract key phrases.

B C

What are two tasks that can be performed by using the Computer Vision service? A. Train a custom image classification model. B. Detect faces in an image. C. Recognize handwritten text. D. Translate the text in an image between languages.

B C

You can use the ___________________________ service to train an object detection model by using your own images A. Computer Vision B. Custom Vision C. Form Recognizer D. Video Indexer

B. Custom Vision

You build a machine learning model by using the automated machine learning user interface (UI).You need to ensure that the model meets the Microsoft transparency principle for responsible AI. What should you do? A. Set Validation type to Auto. B. Enable Explain best model. C. Set Primary metric to accuracy. D. Set Max concurrent iterations to 0.

B. Enable Explain best model.

Data values that influence the prediction of a model are called ______________________________. A. Dependant Variables B. Features C. Identifiers D. Labels

B. Features

The ability to extract subtotals and totals from a receipt is a capability of the _____________________ service. A. Custom Vision B. Form Recognizer C. Ink Recognizer D. Text Analytics

B. Form Recognizer

For a machine learning progress, how should you 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 rows for evaluation. C. Use labels for training and features for evaluation. D. Randomly split the data into columns for training and columns for evaluation.

B. Randomly split the data into rows for training and rows for evaluation.

A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries. Which business benefit should the company expect as a result of creating the webchat bot solution? A. increased sales B. a reduced workload for the customer service agents C. improved product reliability

B. a reduced workload for the customer service agents

You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments. This is an example of which Microsoft guiding principle for responsible AI? A. fairness B. inclusiveness C. reliability and safety D. accountability

B. inclusiveness

Returning a bounding box that indicates the location of a vehicle in an image is an example of ______________________________. A. image classification B. object detection C. Optical character recognizer (OCR) D. semantic segmentation

B. object detection

You need to determine the location of cars in an image so that you can estimate the distance between the cars. Which type of computer vision should you use? A. optical character recognition (OCR) B. object detection C. image classification D. face detection

B. object detection

Which type of machine learning should you use to predict the number of gift cards that will be sold next month? A. classification B. regression C. clustering

B. regression

You have the Predicted vs. True chart. Which type of model is the chart used to evaluate? A. classification B. regression C. clustering

B. regression

You need to predict the sea level in meters for the next 10 years. Which type of machine learning should you use? A. classification B. regression C. clustering

B. regression

You run a charity event that involves posting photos of people wearing sunglasses on Twitter. You need to ensure that you only retweet photos that meet the following requirements: ✑ Include one or more faces. ✑ Contain at least one person wearing sunglasses. What should you use to analyze the images? A. the Verify operation in the Face service B. the Detect operation in the Face service C. the Describe Image operation in the Computer Vision service D. the Analyze Image operation in the Computer Vision service

B. the Detect operation in the Face service

You have a dataset that contains information about taxi journeys that occurred during a given period. You need to train a model to predict the fare of a taxi journey. What should you use as a feature? A. the number of taxi journeys in the dataset B. the trip distance of individual taxi journeys C. the fare of individual taxi journeys D. the trip ID of individual taxi journeys

B. the trip distance of individual taxi journeys

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. A. knowledgeability B. decisiveness C. inclusiveness D. fairness E. opinionatedness F. reliability and safety

C D F

From Azure Machine Learning designer, to deploy a real-time inference pipelines as a service for others to consume you must deploy the model to ________________________________________. A. a local web service B. Azure Container Instances C. Azure Kubernetes Service (AKS) D. Azure Machine Learning compute

C. Azure Kubernetes Service (AKS)

You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI? A. Ensure that all visuals have an associated text that can be read by a screen reader. B. Enable autoscaling to ensure that a service scales based on demand. C. Provide documentation to help developers debug code. D. Ensure that a training dataset is representative of the population.

C. Provide documentation to help developers debug code.

Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of ________________________________. A. Classification B. Clustering C. Regression

C. Regression

When developing an AI system for self-driving cars, the Microsoft ___________________________ principle for responsible AI should be applied to ensure consistent operation of the system during unexpected circumstances A. Inclusiveness B. Accountability C. Reliability and Safety D. Fairness

C. Reliability and Safety

You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use? A. Select Columns in Dataset B. Add Rows C. Split Data D. Join Data

C. Split Data

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types. You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person. This is an example of which type of machine learning? A. clustering B. regression C. classification

C. classification

Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups. This an example of which Microsoft guiding principle for responsible AI? A. accountability B. fairness C. inclusiveness D. privacy and security

C. inclusiveness

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

C. predicting whether someone uses a bicycle to travel to work based on the distance from home to work

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft __________________________ principle for responsible AI. A. inclusiveness B. privacy and security C. reliability and safety D. transparency

C. reliability and safety

You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution. A. the model name B. the training endpoint C. the authentication key D. the REST endpoint

C. the authentication key D. the REST endpoint

When training a model, why should you randomly split the rows into separate subsets? A. to train the model twice to attain better accuracy B. to train multiple models simultaneously to attain better performance C. to test the model by using data that was not used to train the model

C. to test the model by using data that was not used to train the model