AI-900 Microsoft Azure AI Fundamentals

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?. increased sales. a reduced workload for the customer service agents. improved product reliability.

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

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?. Set Validation type to Auto. Enable Explain best model. Set Primary metric to accuracy. Set Max concurrent iterations to 0.

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. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point. Hot Area: There are.. 11 ... There are .. 1.033. There are.. 5... There are .. 1.033. There are.. 1.033 ... There are .. 1.033. There are.. 13.951 ... There are .. 1.033.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Forecasting... NO / Identifying ... YES / Predicting... NO. Forecasting... YES / Identifying ... YES / Predicting... NO. Forecasting... NO / Identifying ... YES / Predicting... YES. Forecasting... NO / Identifying ... NO/ Predicting... YES.

To complete the sentence, select the appropriate option in the answer area. inclusiveness. privacy and security. reliability and safety. transparency.

Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. An automated... - Conversation AI / Determining photo...- Computer vision / Dermining review ... - Natural langugage processing. An automated... - Computer vision / Determining photo...- Conversation AI / Dermining review ... - Knowledge mining. An automated... - Knowledge mining / Determining photo...- Conversation AI / Dermining review ... - Anomaly detection.

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?. fairness. inclusiveness. reliability and safety. accountability.

Match the Microsoft guiding principles for responsible AI to the appropriate descriptions. To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. Ensure that AI... Reliability and Safety / Implementing processes to... Accountability / Provide... - Privacy and Security. Ensure that AI... Accountability / Implementing processes to... Accountability / Provide... - Reliability and Safety. Ensure that AI... Fairness / Implementing processes to... Accountability / Provide... - Inclusiveness.

To complete the sentence, select the appropriate option in the answer area. Reliability and safety. Inclusiveness. Fairness. Accountability.

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

To complete the sentence, select the appropriate option in the answer area. Custom Vision. Form Recognizer. Ink Recognizer. Text Analytics.

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. NOTE: Each correct selection is worth one point. the model name. the training endpoint. the authentication key. the REST endpoint.

To complete the sentence, select the appropriate option in the answer area. Azure Kubernetes Service. a local web service. Azure Machine Learning compute. Azure Container Instances.

To complete the sentence, select the appropriate option in the answer area. classification. clustering. regression.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. Azure... drag and drop - YES / Azure ... save.. YES / Azure... include... NO. Azure... drag and drop - YES / Azure ... save.. NO/ Azure... include... YES. Azure... drag and drop - NO/ Azure ... save.. YES / Azure... include... NO. Azure... drag and drop - NO/ Azure ... save.. YES / Azure... include... YES.

You have the following dataset. 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? To answer, select the appropriate option in the answer area. Household income - A feature / House price - A label. Household income - A label / House price - A feature. Household income - A feature / House price - A feature. Household income - A label / House price - A label.

Which metric can you use to evaluate a classification model?. true positive rate. mean absolute error (MAE). coefficient of determination (R2). 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. NOTE: Each correct selection is worth one point. dataset. compute. pipeline. module.

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?. Select Columns in Dataset. Add Rows. Split Data. Join Data.

Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Predict how many.. - Regression / Segment... - Clustering / Predict..student... - Classification. Predict how many.. - Regression / Segment... - Regression / Predict..student... - Regression. Predict how many.. - Clustering / Segment... - Classification/ Predict..student... - Regression.

Match the machine learning tasks to the appropriate scenarios. To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Examining ... - Model Evaluation / Splitting... - Feature engineering / Picking... - Feature selection. Examining ... - Model deployment / Splitting... - Feature selection / Picking... - Feature engineering. Examining ... - Model training / Splitting... - Model deployment / Picking... - Feature engineering.

To complete the sentence, select the appropriate option in the answer area. dependant variables. features. identifiers. labels.

You have the Predicted vs. True chart shown in the following exhibit. Which type of model is the chart used to evaluate?. classification. regression. clustering.

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

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?. the number of taxi journeys in the dataset. the trip distance of individual taxi journeys. the fare of individual taxi journeys. the trip ID of individual taxi journeys.

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

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Automated..process - YES / Automated..automatically - NO / Automated..works - YES / Automated..enables - NO. Automated..process - YES / Automated..automatically - YES / Automated..works - YES / Automated..enables - YES. Automated..process - NO / Automated..automatically - NO / Automated..works - YES / Automated..enables - YES. Automated..process - NO / Automated..automatically - YES / Automated..works - YES / Automated..enables - NO.

To complete the sentence, select the appropriate option in the answer area. Classification. Regression. Clustering.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Labeling... YES / You should... NO / Accuracy... NO. Labeling... NO/ You should... NO / Accuracy... YES. Labeling... NO / You should... YES / Accuracy... NO. Labeling... YES / You should... NO / Accuracy... YES.

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?. semantic segmentation. image classification. object detection. optical character recognition (OCR).

Match the facial recognition tasks to the appropriate questions. To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. two images.. - verification / person look like.. - similarity / faces belong..- grouping / person in this group.. - identification. two images.. - grouping / person look like.. - identification/ faces belong..- grouping / person in this group.. - similarity. two images.. - similarity / person look like.. - grouping / faces belong..- verification / person in this group.. - identification. two images.. - identification / person look like.. - similarity / faces belong..- grouping / person in this group.. - identification.

Match the types of computer vision to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. Identify.. - Facial recognition / Extract move title.. - Optical character recognition (OCR) / Locate vehicles - Object detection. Identify.. - Image classification / Extract move title.. - Facial recognition / Locate vehicles - Object detection. Identify.. - Object detection / Extract move title.. - Facial recognition / Locate vehicles - Image classification.

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?. optical character recognition (OCR). object detection. image classification. face detection.

To complete the sentence, select the appropriate option in the answer area. Computer vision. Custom vision. Form recognizer. Video Indexer.

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit. Which type of computer vision was used?. object detection. semantic segmentation. optical character recognition (OCR). image classification.

What are two tasks that can be performed by using the Computer Vision service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Train a custom image classification model. Detect faces in an image. Recognize handwritten text. Translate the text in an image between languages.

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

What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Predict stock prices. Detect brands in an image. Detect the color scheme in an image. Translate text between languages. Extract key phrases.

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?. anomaly detection. conversational AI. computer vision. natural language processing.

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?. anomaly detection. semantic segmentation. regression. natural language processing.

To complete the sentence, select the appropriate option in the answer area. Classify email messages as work-related or personal. Predict the number of future car rentals. Predict which website visitors will make a transaction. Stop a process in a factory when extremely high temperatures are registered.

Which AI service can you use to interpret the meaning of a user input such as "Call me back later?". Translator Text. Text Analytics. Speech. Language Understanding (LUIS).

You are developing a chatbot solution in Azure. Which service should you use to determine a user's intent?. Translator Text. QnA Maker. Speech. Language Understanding (LUIS).

You need to make the press releases of your company available in a range of languages. Which service should you use?. Translator Text. Text Analytics. Speech. Language Understanding (LUIS).

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. The Text Analytics... identify .. language - YES / The Text Analytics... can detect - NO / The Text Analytics... identify companies - YES. The Text Analytics... identify .. language - YES / The Text Analytics... can detect - NO / The Text Analytics... identify companies - NO. The Text Analytics... identify .. language - NO / The Text Analytics... can detect - YES / The Text Analytics... identify companies - NO. The Text Analytics... identify .. language - NO / The Text Analytics... can detect - NO / The Text Analytics... identify companies - YES.

Match the types of natural languages processing workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Extracts presons... - Entity recognition / Evaluate text... - Sentiment Analysis / Returns text.. - Traslation. Extracts presons... - Natural langugage processing / Evaluate text... - Sentiment Analysis / Returns text.. - Key phrase extraction. Extracts presons... - Key phrase extraction / Evaluate text... - Natural langugage processing / Returns text.. - Sentiment Analysis.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Monitoring online... - YES / Identifiying brand ... - NO / Monitoring public news .. - YES. Monitoring online... - YES / Identifiying brand ... - YES / Monitoring public news .. - YES. Monitoring online... - NO / Identifiying brand ... - YES / Monitoring public news .. - NO. Monitoring online... - NO / Identifiying brand ... - NO / Monitoring public news .. - NO.

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is. This is an example of which type of natural language processing workload?. language detection. sentiment analysis. key phrase extraction. entity recognition.

You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following exhibit. Which type of natural languages processing was performed?. entity recognition. key phrase extraction. sentiment analysis. translation.

DRAG DROP - You plan to apply Text Analytics API features to a technical support ticketing system. Match the Text Analytics API features to the appropriate natural language processing scenarios. To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Undestand... - Sentiment Analysis / Summarize... - Key Phrase extraction / Extract key... - Entity Recognition. Undestand... - Key Phrase extraction / Summarize... - Sentiment Analysis / Extract key... - Entity Recognition. Undestand... - Entity Recognition / Summarize... - Language detection / Extract key... - Sentiment Analysis.

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?. entity recognition. key phrase extraction. sentiment analysis. language detection.

Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. a telephone answering service that has a pre-recorder message. a chatbot that provides users with the ability to find answers on a website by themselves. telephone voice menus to reduce the load on human resources. a service that creates frequently asked questions (FAQ) documents by crawling public websites.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Azure Bot... cognitie services - YES / Azure Bot... converstional manner ..- YES / Azure Bot... FAQ...- NO. Azure Bot... cognitie services - YES / Azure Bot... converstional manner ..- YES / Azure Bot... FAQ...- YES. Azure Bot... cognitie services - NO/ Azure Bot... converstional manner ..- YES / Azure Bot... FAQ...- YES. Azure Bot... cognitie services - NO/ Azure Bot... converstional manner ..- NO/ Azure Bot... FAQ...- NO.

You need to provide content for a business chatbot that will help answer simple user queries. What are three ways to create question and answer text by using QnA Maker? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Generate the questions and answers from an existing webpage. Use automated machine learning to train a model based on a file that contains the questions. Manually enter the questions and answers. Connect the bot to the Cortana channel and ask questions by using Cortana. Import chit-chat content from a predefined data source.

You have a frequently asked questions (FAQ) PDF file. You need to create a conversational support system based on the FAQ. Which service should you use?. QnA Maker. Text Analytics. Computer Vision. Language Understanding (LUIS).

You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers. Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Text Analytics. QnA Maker. Azure Bot Service. Translator Text.

Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. a smart device in the home that responds to questions such as "What will the weather be like today?". a website that uses a knowledge base to interactively respond to users' questions. assembly line machinery that autonomously inserts headlamps into cars. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold.

You have the process shown in the following exhibit. Which type AI solution is shown in the diagram?. a sentiment analysis solution. a chatbot. a machine learning model. a computer vision application.

You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer. Which service should you use?. Custom Vision. QnA Maker. Translator Text. Face.

Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?. QnA Maker. Language Understanding (LUIS). Text Analytics. Speech.

To complete the sentence, select the appropriate option in the answer area. Hot Area: anomaly detection. computer vision. conversational AI. forectasting.

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

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?. accountability. fairness. inclusiveness. privacy and security.

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. knowledgeability. decisiveness. inclusiveness. fairness. opinionatedness. reliability and safety.

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?. the Verify operation in the Face service. the Detect operation in the Face service. the Describe Image operation in the Computer Vision service. the Analyze Image operation in the Computer Vision service.

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?. clustering. regression. classification.

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

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? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Use a graphical user interface (GUI) to run automated machine learning experiments. Create a compute instance to use as a workstation. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer. Create a dataset from a comma-separated value (CSV) file.

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Extract the invoice number from an invoice. Translate a form from French to English. Find image of product in a catalog. Identity the retailer from a receipt.

In which two scenarios can you use speech recognition? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. an in-car system that reads text messages aloud. providing closed captions for recorded or live videos. creating an automated public address system for a train station. creating a transcript of a telephone call or meeting.

You need to build an app that will read recipe instructions aloud to support users who have reduced vision. Which version service should you use?. Text Analytics. Translator Text. Speech. Language Understanding (LUIS).

Which scenario is an example of a webchat bot?. Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews. Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back. Accept questions through email, and then route the email messages to the correct person based on the content of the message. From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.

To complete the sentence, select the appropriate option in the answer area. Hot Area: adding and connecting modules on a visual canvas. automatically performing common data preparation tasks. automatically selecting an algorithm to build the most accurate model. using a code-first notebook experience.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Automated... phyton scripts.. - YES / Automated... programming experience - YES / Automated... interactive canvas - YES. Automated... phyton scripts.. - NO / Automated... programming experience - NO / Automated... interactive canvas - YES. Automated... phyton scripts.. - YES / Automated... programming experience - NO / Automated... interactive canvas - NO. Automated... phyton scripts.. - NO / Automated... programming experience - NO / Automated... interactive canvas - NO.

You need to predict the income range of a given customer by using the following dataset. Which two fields should you use as features? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Education Level. Last Name. Age. Income Range. First Name.

To complete the sentence, select the appropriate option in the answer area. image classification. object detection. optical character recognizer (OCR). semantic segmentation.

To complete the sentence, select the appropriate option in the answer area. Feature engineering. Feature selection. Model evaluation. Model training.

Match the types of AI workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Identify handwritten letters - Computer vision / Predict sentiment.. - Natural language processing / Identify fraudulent.. - Anomaly detection / Predict next month's.. - Machine Learning (Regression). Identify handwritten letters - Machine Learning (Regression) / Predict sentiment.. - Natural language processing / Identify fraudulent.. - Anomaly detection / Predict next month's.. - Computer vision. Identify handwritten letters - Computer vision / Predict sentiment.. - Machine Learning (Regression) / Identify fraudulent.. - Anomaly detection / Predict next month's.. - Natural language processing.