Your company is exploring the use of voice recognition technologies in its smart home devices. They want to identify any barriers that might unintentionally omit specific user groups. This is an example of which Microsoft guiding principle for responsible AI?

You train a regression model by using unlabeled data.

You plan to use Azure Cognitive Services to develop a voice-controlled personal assistant app. Which Azure Cognitive Service would you use to provide a spoken response to the user?

You plan to apply Azure AI language service API features to a technical support ticketing system. Which of the following Azure AI Language service API features matches the below natural language processing scenario? “Summarize important information from the support ticket.”

You need to scan the news for relevant news stories and alert employees when there is a negative article. Positive stories must be added to a press catalog. Which natural language processing tasks should you use to complete the “Assess” process?

You need to provide customers with the ability to query the status of orders by using phones, social media, or digital assistants. What should you use?

You need to improve document search and indexing for employees by enabling AI-powered capabilities to analyze, categorize, and retrieve meaningful insights from enterprise content. Which Azure AI feature should you use?

You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Cognitive Services service should you use?

You need to identify street names based on street signs in photographs. Which type of computer vision should you use?

You need to generate images based on user prompts. Which Azure OpenAI model should you use?

You need to generate cartoons for use in a brochure. Each cartoon will be based on a text description. Which Azure OpenAI model should you use?

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?

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

You need to count the number of animals in a photograph. Which type of computer vision should you use?

You need to convert handwritten notes into digital text. Which type of computer vision should you use?

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?

You need to build an app that will create descriptions of images. Which service should you use?

You have an Azure Machine Learning model that generates a large quantity of False negatives. You need to reduce the number of False negatives without re-training the model. What should you do?

You have an app that identifies the coordinates of a product in an image of a store aisle display. Which service does the app use?

You have an app that identifies birds in images. The app performs the following tasks: Identify the location of the birds in the image Identify the species of the birds in the image Which type of computer vision would you use to identify the species of individual birds?

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 have a solution that reads books in different languages and categorizes the books based on topic. Which types of natural language processing (NLP) workloads does the solution use?

You have a solution that analyzes social media posts to extract the mentions of city names discussed most frequently. Which type of natural language processing (NLP) workload does the solution use?

You have a dataset that contains sales data and has defined labels for types of customers. You need to categorize the customer types based on the sales data. Which type of machine learning should you use?

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?

You can use the Text Analytics service to extract key entities from a call transcript.

You can use the Azure AI Speech service to transcribe a call to text.

You can use the ________________________ service to train an object detection model by using your own images.

You can fine-tune some Azure OpenAI models by using your own data.

You build a QnA Maker bot by 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 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?

You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?

You are developing a chatbot solution in Azure. Which service should you use to determine a user’s intent?

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?

You are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images provided by your company. Which Azure AI service should you use?

You are building a tool that will process images from retail stores and identify the products of competitors. The solution must be trained on images provided by your company. Which Azure AI service should you use?

You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user. Accept customer orders. Retrieve support documents. Retrieve order status updates. Which type of NLP should you use?

While presenting at a conference, your session is transcribed into subtitles for the audience. This is an example of ___________________.

Which type of natural language processing (NLP) entity is used to identify a phone number?

Which type of natural language processing (NLP) entity in Azure AI is used to identify complex entities, such as names or addresses, by leveraging algorithms trained on labeled data?

Which type of natural language processing (NLP) entity in Azure AI is used to identify a phone number based on a predefined pattern, such as a sequence of digits in a specific format?

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

Which type of machine learning matches the following use case? “Predict whether a student will complete a University course.”

Which type of AI workload matches the following scenario? "Predict next month's product sales."

Which type of AI workload matches the following scenario? "Identify handwritten words"

Which principle of responsible AI matches the following requirement? "The system must not discriminate based on gender and race."

Which principle of responsible AI matches the following requirement? "Personal data must be visible only to approved users only."

Which principle of responsible AI matches the following requirement? "Automated decision processes must be recorded so that approved users can identify why a decision was made."

Which parameter should you configure to produce more verbose responses from a chat solution that uses the Azure OpenAI GPT-4o model?

Which parameter should you configure to produce a more diverse range of tokens in the responses from a chat solution that uses the Azure OpenAI GPT-3.5 model?

Which OpenAI model does GitHub Copilot use to make suggestions for client-side JavaScript?

Which of the following Azure OpenAI large language model (LLM) processes matches the below task? “Detect the genre of a literary work of fiction.”

Which of the following Azure OpenAI large language model (LLM) processes matches the below task? “Create marketing slogans from a product description.”

Which of the following Azure OpenAI large language model (LLM) processes matches the below task? “Create a bulleted list based on text input.”

Which machine learning model matches the following description? "An unsupervised machine learning model used to group similar entities based on features."

Which machine learning model matches the following description? "A supervised machine learning model used to predict numeric values."

Which machine learning model matches the following description? "A supervised machine learning model used to predict categories."

Which format should you use to send requests to a REST API endpoint for Azure OpenAI?

Which Azure Service is responsible for identifying the intent of a user's requests?

Which Azure Service is responsible for converting spoken requests into text?

Which Azure Service is responsible for applying intent to entities and utterances?

Which Azure AI Language feature can be used to retrieve data, such as dates and people’s names, from social media posts?

Which Azure AI feature enables organizations to extract insights from vast amounts of unstructured data, uncover hidden relationships, and make large volumes of data searchable?

Which AI workload type matches the following scenario? “Group plants based on multiple measurements.”

Which AI solution matches the following task? "Generate a caption from a given image."

Which AI solution matches the following task? "Generate a 500-word summary from a 10,000-word article."

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.

When creating an object detection model in the Azure AI Custom Vision service, you can select from a set of predefined domains.

When building a regression model, labels must have a data type of _____________.

When an AI system that 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?

What can be used to complete a paragraph based on a sentence provided by a user?

To build a solution that complies with Microsoft responsible AI principles, you must build and train your own model.

The interactive answering of questions entered by a user as part of an application is an example of _____________________________.

The classification technique is used to predict sequential numerical data over time.

The Azure AI Translator service can be used to translate documents from English to French.

The Azure AI Language service can identify in which language text is written.

The Azure AI Language service can detect handwritten signatures in a document.

The Azure AI Face detection service will be more accurate if you provide more sample photos of each employee from different angles.

The Azure AI Face detection service can be used to perform facial recognition for employees.

The Azure AI Custom Vision service requires that you provide your own data to train the model.

The Azure AI Custom Vision service can be used to detect objects in an image.

The Azure AI Custom Vision service can be used to analyze video files.

The Azure AI Bot Service provides services that can be used to host conversational bots.

Stating the source of the data used to train a model is an example of which responsible AI principle?

Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible AI.

Pretrained generative AI models are a component of Azure OpenAI.

Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.

Predicting how many hours of overtime a delivery person will work based on the number of orders received is an example of _________________.

Monitoring public news sites for negative mentions of a product is an example of natural language processing.

Monitoring online service reviews for swearing is an example of natural language processing.

In Azure AI, which computer vision task involves classifying every pixel in an image into a specific category, such as "road," "sky," or "tree," to generate a segmentation map?

In a machine learning model, the sets of data values that are used as inputs are called ______________.

If an employee is wearing sunglasses, the Azure AI detection service will always fail to recognize the employee.

Identifying brand logos in an image is an example of natural language processing”

Grouping items by their common characteristics is an example of clustering.

Generating text that describes an image is an example of _________________.

For a regression model, labels must be numeric.

For a clustering model, labels must be used.

For a classification model, labels must be numeric.

For a car, predicting the miles per gallon based on weight, engine power, and other quantifiable factors is an example of ________________.

Ensuring that the numeric variables in training data are on a similar scale is an example of __________________.

Ensuring an AI system does not provide a prediction when important fields contain unusual or missing values is _______________________ principle of responsible AI.

Data values that are used to make a prediction are called ___________________.

correctly handling unusual or missing values is an example of the application of the _____________ principle for responsible AI.

Chatbots manage conversation flows by using a combination of natural language and constrained option responses.

Chatbots can support voice input.

Chatbots can only be built by using custom code.

Bots built by using the Azure AI Bot Service can communicate with Microsoft Teams users.

Azure AI Bot Service engages with customers in a conversational manner.

Azure AI Bot Service can directly import frequently asked questions (FAQs) to question and answer sets.

Azure AI Bot Service and Azure Cognitive Services can be integrated.

Automatically generating captions for pre-recorded videos is an example of natural language processing.

Automatically generating captions for pre-recorded videos is an example of conversational AI.

Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify.

Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas.

Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline.

Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development.

Automated machine learning implements machine learning solutions without the need for programming experience.

Automated machine learning enables you to specify a dataset and will automatically understand which label to predict.

Automated machine learning can automatically infer the training data from the use case provided.

Assigning classes to images before training a classification model is an example of ____________________.

Asking a chatbot if precipitation is expected as part of the weather report is an example of___________________________.

An interactive chat feature on a company's website can be implemented by using Azure Bot Service.

An application that displays images relating to an entered search term is an example of a conversational AI workload.

An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?

An AI solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible AI.

According to Microsoft's ____________ principle of responsible AI, AI systems should NOT reflect biases from the data sets that are used to train the systems.

A web form used to submit a request to reset a password is an example of a conversational AI workload.

A validation set includes the set of input examples that will be used to train a model.

A validation set can be used to verify that all the training data was used to train the model.

A validation set can be used to determine how well a model predicts labels.

A triage bot that prioritizes healthcare claims based on injuries is an example of the Microsoft reliability and safety principle for responsible AI.

A transformer model architecture uses self-attention.

A transformer model architecture includes an encryption block or a decryption block.

A transformer model architecture includes an encoder block and a decoder block.

A smart home device that responds to questions such as "When is my next appointment?" is an example of conversational AI.

A smart device that responds to the question “What is the stock price of Tailspin Toys?” is an example of which AI workload?

A separate chatbot is required for each communication channel.

A restaurant can use a chatbot to answer inquiries about business hours from a webpage.

A flower shop can use a chatbot to automate responses to customer reviews on an external website.

A bot that responds to queries by users is an example of a conversational AI workload.

A bot that responds to queries by employees is an example of a natural language processing workload.

A _______________ solution can be used to extract data from scanned invoices.

_____________________________ extension for Microsoft Visual Studio Code uses the OpenAI Codex model.

____________________________ is used to identify multiple types of items in one image.

____________________ is used to extract dates, quantities, and locations from text.

____________________ is the calculated probability of correct image classification.

_______________ is used to generate additional features.

______________ is used to identify and locate multiple types of items in one image.