What are the types of AI workloads that include machine learning, deep learning, and natural language processing? Robotics, Automation, Predictive Analytics Data Mining, Image Processing, Speech Recognition Machine Learning, Deep Learning, NLP, Computer Vision, Knowledge Mining Cloud Computing, Big Data, Internet of Things

Machine Learning, Deep Learning, NLP, Computer Vision, Knowledge Mining

Comprehensive AI and Machine Learning Concepts and Applications

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Computer Science - Software Engineering

user_jevbwl Created by 7 mon ago

Cards in this deck(94)

What is the form of machine learning classification that seeks to classify each pixel in an image by the class or object it belongs to?

The handling of unusual or missing values is a consideration for which Microsoft pillar?

What are the types of AI workloads that include machine learning, deep learning, and natural language processing?

What type of workload is used for an automated chat to answer questions?

What type of workload is used for determining whether a photo contains a person or not?

What type of workload is used for determining whether a review is positive or negative?

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?

Which responsible AI principle ensures that AI systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation?

Which responsible AI principle involves implementing processes to ensure that decisions made by AI systems can be overridden by humans?

Which responsible AI principle provides consumers with information and control over the collection, use, and storage of their data?

When developing AI for self-driving cars, the Microsoft _____ principle should be applied to ensure consistent operation of the system during unexpected circumstances.

Which of the following meets the transparency principle for responsible AI?

What type of workload do you use for identifying handwritten letters?

What type of workload do you use for predicting the sentiment of a social media post?

What type of workload do you use for identifying a fraudulent credit card payment?

What type of workload do you use for predicting next month's toy sales?

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

What is Named Entity Recognition (NER)?

What does Language Detection do?

What does Sentiment Analysis do?

What is opinion mining?

What is key phrase extraction?

What is Text Analytics and what 5 things can it perform?

Bounding a box that indicates the location of a vehicle in an image is an example of what?

What kind of information can you put in a knowledge base?

Which type of artificial intelligence (AI) workload provides the ability to generate bounding boxes that identify the locations of different types of vehicles in an image?

Which type of artificial intelligence (AI) workload provides the ability to classify individual pixels in an image depending on the object that they represent?

Which AI service can be integrated into chat applications and generate content in the form of text?

Which type of artificial intelligence (AI) workload has the primary purpose of making large amounts of data searchable?

What is the purpose of knowledge mining?

Which workload would be used for extracting key phrases from text to identify key phrases?

Which workload would be used for identifying objects in landscape images?

Which workload would be used to predict whether consumers are likely to buy a product based on previous services?

You are exploring solutions to improve the document search and indexing service for employees. You need an artificial intelligence (AI) search solution that will include searching text in various types of documents, such as images. Which type of AI workload is this?

Which principle of responsible artificial intelligence (AI) raises awareness about the limitations of AI-based solutions?

Which principle of responsible artificial intelligence (AI) has the objective of ensuring that AI solutions benefit all parts of society regardless of gender or ethnicity?

Which principle of responsible artificial intelligence (AI) ensures that an AI system meets any legal and ethical standards it must abide by?

What does the fairness principle entail?

A company is currently developing driverless agriculture vehicles to help harvest crops. The vehicles will be deployed alongside people working in the crop fields, and as such, the company will need to carry out robust testing. Which principle of responsible artificial intelligence (AI) is most important in this case?

_____ use plugins to provide end users with the ability to get help with common tasks from a generative AI model.

At which layer can you apply content filters to suppress prompts and responses for a responsible generative AI solution?

What are the four layers for harm mitigation techniques?

What can be used to identify constraints and styles for the responses of a generative AI model?

What are system messages? Additional context: This question requires a detailed explanation covering key aspects of the topic.

What is grounding data? Additional context: This question requires a detailed explanation covering key aspects of the topic.

As per the NIST AI Risk Management Framework, what is the first stage to consider when developing a responsible generative AI solution?

What are the NIST AI Risk Management framework steps?

Which three capabilities are examples of image generation features for a generative AI model?

Which genAI model is used to generate images based on natural language prompts?

What does Embeddings do?

What does Whisper do?

What do GPT4 and GPT3.5 do?

What is the confidence score returned by the Azure AI Language detection service of natural language processing (NLP) for an unknown language name?

Which Azure AI Service for Language feature can be used to analyze online user reviews to identify whether users view a product positively or negatively?

Which two Azure AI Services features can be used to enable both text-to-text and speech-to-text between multiple languages? Each correct answer presents part of the solution.

What capabilities does Azure Speech service have?

What does Azure AI Translator service do?

Which Azure AI Service for Language feature allows you to analyze written articles to extract information and concepts, such as people and locations, for classification purposes?

Which three values are returned by the language detection feature of the Azure AI Language service in Azure? Select all answers that apply.

Which feature of the Azure AI Language service includes functionality that returns links to external websites to disambiguate terms identified in a text?

What are the features in Azure AI Language?

What is entity recognition and linking? Additional context: This question requires a detailed explanation covering key aspects of the topic.

What is language detection? Additional context: This question requires a detailed explanation covering key aspects of the topic.

Which type of translation does the Azure AI Translator service support?

Which feature of the Azure AI Translator service is available only to Custom Translator?

Which artificial intelligence (AI) technique serves as the foundation for modern image classification solutions?

Which artificial intelligence (AI) technique should be used to extract the name of a store from a photograph displaying the store front?

Which two specialized domain models are supported by Azure AI Vision when categorizing an image?

Which analytical task of the Azure AI Vision service returns bounding box coordinates?

When using the Face Detect API of the Azure AI Face service, which feature helps identify whether a human face has glasses or headwear?

Which service can you use to train an image classification model?

What is Azure AI Custom Vision?

What is Azure AI Face?

What is Azure AI Language?

You need to identify numerical values that represent the probability of humans developing diabetes based on age and body fat percentage. Which type of machine learning model should you use?

Which type of machine learning algorithm finds the optimal way to split a dataset into groups without relying on training and validating label predictions?

What is clustering? Additional context: This question requires a detailed explanation covering key aspects of the topic.

What are classification models? Additional context: This question requires a detailed explanation covering key aspects of the topic.

Predicting rainfall for a specific geographical location is an example of which type of machine learning?

What is supervised vs unsupervised learning?

In a regression machine learning algorithm, how are features and labels handled in a validation dataset?

In a regression machine learning algorithm, what are the characteristics of features and labels in a training dataset?

What are features in regression? Additional context: This question requires a detailed explanation covering key aspects of the topic.

A company is using machine learning to predict house prices based on appropriate house attributes. For the machine learning model, which attribute is the label?

What is the purpose of a validation dataset used for as part of the development of a machine learning model?

What should you do after preparing a dataset and before training the machine learning model?

What are the four key elements of training a regression model? Additional context: This question requires a detailed explanation covering key aspects of the topic.

You need to use Azure Machine Learning to train a regression model. What should you create in Machine Learning studio?

What do you need to create before you can access Machine Learning studio?

What can be used as deployment targets once a model's training is complete?

Which three supervised machine learning models can you train by using automated machine learning (automated ML) in the Azure Machine Learning studio?

What is the tree of life for Machine Learning?

What is classification? Additional context: This question requires a detailed explanation covering key aspects of the topic.

_____ is used to generate additional features?

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