AI 900 Practice Questions 2

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

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

B

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

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

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

While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of ___________________________. A. Sentiment Analysis B. Speech Recognition C. Speech Synthesis D. Translation

B

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

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? A. language detection B. sentiment analysis C. key phrase extraction D. entity recognition

B

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

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

B

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

In which two scenarios can you use speech recognition? Each correct answer presents a complete solution. 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 D

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

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

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

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

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? A. Text Analytics B. Translator Text C. Speech D. Language Understanding (LUIS)

C

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

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

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

Match the types of natural languages processing workloads to the appropriate scenarios. 1. Extracts persons, locations, and organizations from the text 2. Evaluates text along a positive-negative scale 3. Returns text translated to the specified target language Workload Types A. Entity recognition B. Key phrase extraction C. Language modeling D. Sentiment analysis E. Natural language processing F. Translation G. Speech recognition and speech synthesis

1. A 2. D 3. F

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 2. There are ____________ false negatives A. 5 B. 11 C. 1033 D. 13951

1. B 2. 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

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 Type A. Anomaly detection B. Computer vision C. Conversational AI D. Knowledge mining E. Natural language processing

1. C 2. B 3. E

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

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. 1. Understand how upset a customer is based on the text contained in the support ticket 2. Summarize important information from the support ticket 3. Extract key dates from the support ticket API Features A. Entity Recognition B. Key Phrase Extraction C. Language Detection D. Sentiment Analysis

1. D 2. B 3. A

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 2. A 3. D

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. The Text Analytics service can identify in which language text is written 2. The Text Analytics service can detect handwritten signatures in a document 3. The Text Analytics service can identify companies and organizations mentioned in a document

1. Yes 2. No 3. Yes

Yes or No 1. You can use the Speech service to transcribe a call to text. 2. You can use the Text Analytics service to extract key entities from a call transcript. 3. You can use the Speech service to translate the audio of a call to a different language

1. Yes 2. Yes 3. Yes

Yes or No 1. Monitoring online service reviews for profanities is an example of natural language processing 2. Identifying brand logos in an image is an example of natural languages processing 3. Monitoring public news sites for negative mentions of a product is an example of natural language processing

1. Yes 2. No 3. Yes

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

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

A

You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following exhibit. For weeks now, students and teachers have been settling into the uncharted routine of distance learning. Today I want to thank all of the educators who are connecting classrooms and classmates together in a sudden shift to remote learning. | | V now [DateTime] students [PersonType] teachers [PersonType] distance learning [Skill] Today [DateTime-Date] educators [PersonType] classrooms [Location] classmates [PersonType] remote learning [Skill] Which type of natural languages processing was performed? A. entity recognition B. key phrase extraction C. sentiment analysis D. translation

A

_________________________________ is used to generate additional features. A. Feature Engineering B. Feature Selection C. Model Evaluation D. Model Training

A

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing. Which two services should you include in the solution? Each correct answer presents part of the solution. A. QnA Maker B. Azure Bot Service C. Form Recognizer D. Anomaly Detector

A B

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. A. Generate the questions and answers from an existing webpage. B. Use automated machine learning to train a model based on a file that contains the questions. C. Manually enter the questions and answers. D. Connect the bot to the Cortana channel and ask questions by using Cortana. E. Import chit-chat content from a predefined data source.

A C E

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

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. semantic segmentation C. regression D. natural language processing

D