A company employs a team of customer service agents to provide support. They develop a webchat bot for automated answers. Which business benefit should the company expect? improved product reliability enhanced customer satisfaction increased sales a reduced workload for the customer service agents

a reduced workload for the customer service agents

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

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

You are developing a model to predict events using classification. You have a confusion matrix for the model scored on test data. What do TP, TN, FN, and FP represent? True Negatives, True Positives, False Positives, False Negatives False Positives, False Negatives, True Positives, True Negatives False Negatives, False Positives, True Negatives, True Positives True Positives, True Negatives, False Negatives, False Positives

True Positives, True Negatives, False Negatives, False Positives

You run a charity event involving photos of people wearing sunglasses on Twitter. You need to retweet photos that include faces and sunglasses. What should you use to analyze the images? the Describe Image operation in the Computer Vision service the Analyze Image operation in the Computer Vision service the Detect operation in the Face service the Verify operation in the Face service

the Detect operation in the Face service

Prior to deploying a model built with MaaS, which three processes should you perform in sequence? Data preparation, Model training, Model evaluation Data preparation, Model evaluation, Model training Model training, Data preparation, Model evaluation Model evaluation, Data preparation, Model training

Data preparation, Model training, Model evaluation

You are building an AI-based app and need to ensure it follows responsible AI principles. Which two principles should you follow? Implement a process of AI model validation as part of the software review process Implement an Agile software development methodology Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer Prevent the disclosure of the use of AI-based algorithms for automated decision making

Implement a process of AI model validation as part of the software review process

Match the machine learning tasks to the appropriate scenarios: Examining the values of a confusion matrix, Splitting a date into month, day, and year fields, Picking temp and pressure to train a weather model. Model deployment, Model training, Feature engineering Feature selection, Model evaluation, Feature engineering Feature engineering, Feature selection, Model evaluation Model evaluation, Feature engineering, Feature selection

Model evaluation, Feature engineering, Feature selection

You have a dataset with taxi journey information. To train a model to predict the fare, what should you use as a feature? the number of taxi journeys in the dataset the trip ID of individual taxi journeys the fare of individual taxi journeys the trip distance of individual taxi journeys

the trip distance of individual taxi journeys

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Computer Science - Software Engineering

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Cards in this deck(49)

A company employs a team of customer service agents to provide support. They develop a webchat bot for automated answers. Which business benefit should the company expect?

For a machine learning process, how should you split data for training and evaluation?

You are developing a model to predict events using classification. You have a confusion matrix for the model scored on test data. What do TP, TN, FN, and FP represent?

You run a charity event involving photos of people wearing sunglasses on Twitter. You need to retweet photos that include faces and sunglasses. What should you use to analyze the images?

When designing an AI system to assess loan approvals, the decision factors should be explainable. This is an example of which Microsoft guiding principle for responsible AI?

Prior to deploying a model built with MaaS, which three processes should you perform in sequence?

You are building an AI-based app and need to ensure it follows responsible AI principles. Which two principles should you follow?

Match the machine learning tasks to the appropriate scenarios: Examining the values of a confusion matrix, Splitting a date into month, day, and year fields, Picking temp and pressure to train a weather model.

Data values that influence the prediction of a model are called _____

You have a dataset with taxi journey information. To train a model to predict the fare, what should you use as a feature?

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

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

You use Azure Machine Learning designer to publish an inference pipeline. Which two parameters should you use to access the web service?

Complete the sentence: From Azure ML designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to _____

A medical research project uses a large anonymized dataset of brain scan images categorized into predefined brain hemorrhage types. Which type of machine learning should you use to support early detection?

When training a model, why should you randomly split the rows into separate subsets?

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?

You are building a tool to process images from retail stores and identify competitors' products using a custom model. Which Azure Cognitive Services service should you use?

What is a validation set in the context of machine learning?

What is a test dataset in the context of machine learning?

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

Which metric can you use to evaluate a classification model?

Give an example of labeling in the context of machine learning.

Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process?

Which two languages can you use to write custom code for Azure Machine Learning designer?

For each of the following statements, select Yes if the statement is true. Otherwise, select No. - 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.

In which two scenarios can you use the Form Recognizer service?

You are processing photos of runners in a race. You need to read the numbers on the runners' shirts to identify them. Which type of computer vision should you use?

You need to determine the location of cars in an image to estimate the distance between them. Which type of computer vision should you use?

What are two tasks that can be performed by using the Computer Vision service?

What are the examples of 'from' in relation to vision and model?

Which Computer Vision feature can you use to generate automatic captions for digital photographs?

You are developing a solution using 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?

In which two scenarios can you use speech recognition?

You need to build an app that will read recipe instructions aloud to support users with reduced vision. Which version service should you use?

What factors influence vision in relation to model and service?

In which scenario should you use key phrase extraction?

You are authoring a Language Understanding (LUIS) application to support a music festival. The question 'Which act is playing on the main stage?' is an example of which type of element?

You build a QnA Maker bot using a frequently asked questions (FAQ) page. You need to add professional greetings and other responses to make the bot more user-friendly. What should you do?

You need to develop a chatbot for a website that answers users' questions based on a product troubleshooting guide and an FAQ list. Which service should you use to process the documents?

You have an AI solution that allows users to control smart devices using verbal commands. Which two types of natural language processing (NLP) workloads does the solution use?

You have a webchat bot that provides responses from a QnA Maker knowledge base. You need to ensure that the bot uses user feedback to improve the relevance of the responses over time. What should you use?

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 using QnA Maker?

You have a knowledge base of frequently asked questions (FAQ). You create a bot that uses the knowledge base to respond to customer requests. What can the bot perform without adding additional skills?

You are developing a system to predict the prices of insurance for drivers in the United Kingdom. You need to minimize bias in the system. What should you do?

Match the tool to the Azure Machine Learning task: Create a ML workspace, Use a drag and drop interface to train and deploy models, Use a wizard to select configurations for a ML run.

In a machine learning model, the data that is used as inputs are called ________. Select the answer that correctly completes the sentence.

Using recency, frequency, and monetary (RFM) values to identify segments of a customer base is an example of _____

You need to track multiple versions of a model that was trained using Azure Machine Learning. What should you do?

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