AI 900
From Azure Machine Learning designer, to deploy real time inference pipeline as a service for others to consumer, you must deploy the model to ______. - a local website - Azure container instances - Azure Kubernetes Service (AKS) - Azure Machine learning compute.
- Azure Kubernetes Service (AKS)
______ is used to generate additional features. - Feature engineering - Feature selection - Model evaluation - Model training
- Feature engineering
The ability to extract subtotals and totals from a receipt is a capability of the ____ service. - Custom vision - Form recognizer - Ink Recognizer - Text analytics
- Form recognizer Table, receipts, invoice - answer is always form recognizer
Yes or no: - You train a regression model by using unlabeled data - The classification technique is used to predict sequential numerical data over time - Grouping items by their common characteristics is an example of clustering
- No - No - Yes
- When creating an object detection model in the Custom Vision service, you must choose a classification type of either Multilabel or Multiclass - You can create an object detection model in the Custom Vision service to find the location of content within an image - When creating an object detection model in the Custom Vision service, you can select from a set of predefined domains
- No - Yes - Yes
- The Face service can be used to perform facial recognition for employees - The Face service will be more accurate if you provide more sample photos of each employee from different angles - If an employee is wearing sunglasses, the Face service will always fail to recognize the employee
- Yes - Yes - No
Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values is ___________ principle for responsible AI. - an inclusiveness - a privacy and security - a reliability and safety - a transparency
- a reliability and safety
Azure Machine Learning designer lets you create machine learning models by ______. - adding and connecting modules on a visual canvas - automatically performing common data preparation tasks - auto selecting an algorithm to build accurate model - using code first notebook experience
- adding and connecting modules on a visual canvas
Counting the number of animals in an area based on a video feed is an example of ____. - forecasting - computer vision - conversational AI - anomaly detection
- computer vision
Counting the number of animals in an area based on a video feed is an example of _____. - forecasting - computer vision - conversational AI - anomaly detection
- computer vision
______ is the calculated probability of a correct image classification. - accuracy - confidence - root mean square error - sentiment
- confidence
You can use the ______ service to train an object detection model by using your own images. - computer vision - custom vision - form recognizer - video indexer
- custom vision
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications. Which three processes should you perform in sequence before you deploy the model? - data encyption - model retraining - model training - data preparation - model evaluation
- data preparation - model training - model evaluation
According to Microsoft's _____ principle of AI, AI systems should NOT reflect biases from the data sets that are used to train the systems. - accountability - fairness - inclusiveness - transparency
- fairness
Ensuring that the numeric variables in training data are on a similar scale is an example of _______. - data ingestion - feature engineering - feature selection - model training
- feature selection
Returning a bounding box that indicates the location of a vehicle in an image is an example of __________. - image classification - object detection - optical character recognizer (OCR) - semantic segmentation
- object detection
Predicting how many hours of overtime a delivery person will work based on the number of order received is an example of ____. - classification - clustering - regression
- regression
The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft _____ principle for responsible AI. - inclusiveness - privacy and security - reliability and safety - transparency
- reliability and safety
When developing an AI system for self-driving cars, the Microsoft ___________ principle for responsible AI should be applied to ensure consistent operation system during unexpected circumstances. - inclusiveness - accountability - reliability and safety - fairness
- reliability and safety
While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of ____. - sentiment analysis - speech recognition - speech synthesis - translation
- speech recognition
Yes or no: - The Custom Vision service can be used to detect objects in an image - The Custom Vision service requires that you provide your own data to train the model - The Custom Vision service can be used to analyze video files
- yes -yes - no
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
...
Match: 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: - Anomaly detection - Computer vision - Machine Learning (Regression) - Natural language processing
1. Computer vision 2. Natural language processing 3. Anomaly detection 4. Machine learning (regression)
Match: 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: - Anomaly detection - Computer vision - Conversational AI - Knowledge mining - Natural language processing
1. Conversational AI 2. Computer vision 3. Natural language processing
Match Workloads Types: - Facial Recognition - Image classification - Object detection - Optical character recogintion 1. Identify celebrities in images 2. Extract movie title names from movie poster images 3. Locate vehicle in images
1. Facial recognition 2. OCR 3. Object detection
1. Identify celebrities in images 2. Extract movie title names from movie poster images 3. Locate vehicles in images - Facial recognition - Image classification - object detection - optical character recognition (OCR)
1. Facial recognition 2. Optical character recognition (OCR) 3. Object detection
Match machine learning types: - Facial detection - Facial recognition - Image classification - Object detection - Image classification - Object detection - Optical character recognition - Semantic segmentation 1. Separate images of polar bears and brown bears 2. Determine the location of a bear in a photo 3. Determine which pixels in an image are part of a bear
1. Image classification 2. Object detection 3. Semantic segmentation
Match: 1. Separate images of polar bears and brown bears 2. Determine the location of a bear in a photo 3. Determine which pixels in an image are part of a bear - Facial detection - Facial recognition - Image classification - Object detection - Optical character recognition - Semantic segmentation
1. Image classification 2. Object detection 3. Semantic segmentation
Match: - Examining the values of a confusion matrix - Splitting a date into month, day, and year fields - Picking temperature and pressure to train a weather model A. Feature engineering B. Feature selection C. Model deployment D. Model evaluation E. Model training
1. Model evaluation 2. Feature engineering 3. Feature selection Evaluation = Confusion Engineering = Splitting Selecting = Picking
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. A validation set includes the set of input examples that will be used to train a mode 2. A validation set can be used to determine how well a model predicts labels 3. A validation set can be used to verify that all training data was used to train the model
1. No 2. Yes 3. No
Yes or no: 1. When creating an object detection model in Custom Vision service, you must choose a classification type of either Multilabel or Multiclass. 2. You can create an object detection model in the Custom Vision service to find the location of content within an image. 3. When creating an object detection model in the Custom Vision service, you can select from a set of predefined domains.
1. No 2. Yes 3. Yes
Match: 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. Provides consumers with information and controls over the collection, use, and storage of their data - Accountability - Fairness - Inclusiveness - Privacy and security - Reliability and safety
1. Reliability and safety 2. Accountability 3. Privacy and security
Match Tasks: - Grouping - Identification - Similarity - Verification 1. Do two images of a face belong to the same person 2. Does this person look like other people 3. Do all faces belong together 4. Who is this person in this group of people
1. Verification 2. Similarity 3. Grouping 4. Identification
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. The face service can be used to perform facial recognition for employees 2. The Face service will be more accurate if you provide more sample photos of each employee from different angles 3. If an employee is wearing sunglasses, the Face service will always fail to recognize the employee
1. Yes 2. Yes 3. No
Yes or no: 1. Azure Machine Learning designer provides a drag and drop visual canvas to build, test, 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 can customize but only using Python and R code.)
Yes or no: 1. Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering 2. Grouping similar patients based on symptoms and diagnostic test results is an example of clustering 3. Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.
1. Yes 2. Yes. 3. No
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? - grouping - identification - similarity - verification
1. verification 2. similarity 3. grouping 4. identification
You are building a tool that will process images from retail stores 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 - key = custom model
In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. A. Extract the invoice number from an invoice. B. Translate a form from French to English. C. Find image of product in a catalog. D. Identify the retailer from a receipt.
A. Extract the invoice number from an invoice. D. Identify the retailer from a receipt.
You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use? A. Face B. Form Recognizer C. Text Analytics D. Computer Vision
A. Face
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. Language Understanding D. Custom Vision
A. Form Recognizer Table, receipts, invoice - answer is always form recognizer
In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. A. Identify the retailer from a receipt B. Translate from French to English C. Extract the invoice number from an invoice D. Find images of products in a catalog
A. Identify the retailer from a receipt C. Extract the invoice number from an invoice
Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution. A. Python B. R C. C# D. Scala
A. Python B. R
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. A. coefficient of determination (R2) B. F1 score C. root mean squared error (RMSE) D. area under curve (AUC) E. balanced accuracy
A. coefficient of determination (R2) C. root mean squared error (RMSE)
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. dataset D. module
You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds. This is an example of which type of computer vision? A. object detection B. optical character recognition (OCR) C. scene segmentation
A. object detection
You need to predict the animal population of an area. Which Azure Machine Learning type should you use? A. regression B. clustering C. classification
A. regression
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable. This is an example of which Microsoft guiding principle for responsible AI? A. transparency B. inclusiveness C. fairness D. privacy and security
A. transparency
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 (RMSE)
A. true positive rate
You are building an AI-based app. You need to ensure that the app uses the principles for responsible AI. Which two principles should you follow? A. Implement an Agile software development methodology B. Implement a process of AI model validation as part of the software review process C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer D. Prevent the disclosure of the use of AI-based algorithms for automated decision making
B --> Safety and reliability, C --> Privacy and security
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. Detect brands in an image. C. Detect the color scheme in an image
What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution. 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. Detect faces in an image. C. Recognize handwritten text.
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.
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
You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use? A. entity recognition B. key phrase extraction C. sentiment analysis D. language detection
B. key phrase extraction
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
You are processing photos of runners in a race. You need to read the numbers on the runners' shirts to identity the runners in the photos. Which type of computer vision should you use? A. facial recognition B. optical character recognition (OCR) C. image classification D. object detection
B. optical character recognition (OCR)
You are processing photos of runners in a race.You need to read the numbers on the runners' shirts to identity the runners in the photos. Which type of computer vision should you use? A. facial recognition B. optical character recognition (OCR) C. image classification D. object detection
B. optical character recognition (OCR)
In which two scenarios can you use speech recognition? A. an in-car system that reads text messages aloud B. providing closed captions for recorded or live videos C. creating an automated public address system for a train station D. creating a transcript of a telephone call or meeting
B. providing closed captions for recorded or live videos D. creating a transcript of a telephone call or meeting
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 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
Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process? Each correct answer presents part of the solution. A. Calculate the accuracy of the model. B. Score test data by using the model. C. Combine multiple datasets. D. Use the model for real-time predictions. E. Remove records that have missing values.
C. Combine multiple datasets. E. Remove records that have missing values.
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents? A. Custom Vision B. Face C. Form Recognizer D. Language
C. Form Recognizer
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.
You need to build an app that will read recipe instructions aloud to support users who have reduced vision. Which service should you use? A. Text Analytics B. Translator C. Speech D. Language Understanding (LUIS)
C. Speech Speech = Text-to-Speach Speech Recognition = Speach-to-Text.
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 hemorrhage types. You need to use machine learning to support early detection of the different brain hemorrhage 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
Which type of machine learning should you use to identify groups of people who have similar purchasing habits? A. classification B. regression C. clustering
C. clustering
Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use? A. anomaly detection B. conversational AI C. computer vision D. natural language processing
C. computer vision
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 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. inclusiveness D. fairness F. reliability and safety
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 Classification = Yes/No
You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to access the web service? 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
You can use the _____ service to train an object detection model by using your own images. - Computer vision - Custom vision - Form recognizer - Video indexer
Custom vision
You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use? A. Face B. Form Recognizer C. Text Analytics D. Computer Vision
D. Computer Vision Could be Face, not sure
Which Computer Vision feature can you use to generate automatic captions for digital photographs? A. Recognize text. B. Identify the areas of interest. C. Detect objects. D. Describe the images.
D. Describe the images.
Your website has a chatbot to assist customers. You need to detect when a customer is upset based on what the customer types in the chatbot. Which type of AI workload should you use? A. anomaly detection B. computer vision C. regression D. natural language processing
D. natural language processing
You need to develop a mobile app for employees to scan and store their expenses while travelling. Which type of computer vision should you use? A. semantic segmentation B. image classification C. object detection D. optical character recognition (OCR)
D. optical character recognition (OCR)
- Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline - Automated machine learning implements machine learning solutions without the need for programming experience - Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas
No Yes No
______ extracts text from handwritten documents. - Object detection - Facial recognition - Image classification - Optical character recognition
OCR
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
Object detection
_________ models can be used to predict the sale price of auctioned items.
Regression
Yes or no: - For a regression model, labels must be numeric - For a clustering model, labels must be used - For a classification model, labels must be numeric
Y - must be numeric for regression N - labels are not required N - may or may not be numeric, not must
- Labelling is the process of tagging training data with known values - You should evaluate a model by using the same data used to train the model - Accuracy is always the primary metric used to measure a model's performance
Yes No No
- Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI. - A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI. - An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI.
Yes No No
Yes or no: - You can use the Speech service to transcribe a call to text - You can use the Text Analytics service to extract key entities from a call transcript - You can use the Speech service to translate the audio of a call to a different language
Yes Yes Yes
A banking system that predicts whether a loan will be repaid is an example of the ____ type of machine learning. - classification - regression - clustering
classification
Data values that influence the prediction of a model are called _____. - dependent variables - features - identifiers - labels
features
Assigning classes to images before training a classification model is an example of _____. - evaluation - feature engineering - hyperparameter tuning - labeling
labeling
Predicting how many vehicles will travel across a bridge on a given day is an example of ______. - classification - clustering - regression
regression
