Azure AI-900

Feature engineering is applied first to generate additional features, and then feature selection is done to eliminate irrelevant, redundant, or highly correlated features

How does feature engineering and feature selection work together?

Computer Vision API

In an Image Classification solution what is part of the Cognitive Services suite and is used to retrieve information about each image?

Logic Apps

In an Image Classification solution what is used if you don't need to react in real-time on added files to a blob?

Custom Vision Service

In an Image Classification solution what is used if you need to process information that isn't returned by the Computer Vision API?

Cognitive Search

In an Image Classification solution what is used if your use case involves querying the metadata to find images that meet specific criteria?

Cosmos DB

In an Image Classification solution what stores metadata about each image that is uploaded, including the results of the processing from Computer Vision API?

QnA Maker Azure Bot Service

What 2 core Azure services are used to create conversational AI solutions?

Deep Learning

What AI approach is modeled on the neural network of the human mind, enabling it to discover, learn, and grow through experience?

Machine Learning

What AI approach uses data to train a model, test it, and then apply the model to new data to forecast future behaviors, outcomes, and trends?

Azure Machine Learning

What Azure AI service would you use build a model by using your own data?

Azure Machine Learning

What Azure AI service would you use in order for your app predict future outcomes based on private historical data?

Cognitive Services Personalizer

What Azure AI service would you use to predict user behavior or provide users with personalized recommendations in your app?

Cognitive Services

What Azure AI service would you use when it comes to general purpose tasks, such as performing speech to text, integrating with search, or identifying the objects in an image?

Decision

What Azure Cognitive Services subcategory allows you to add personalized recommendations for each user that automatically improve each time they're used, moderate content to monitor and remove offensive or risky content, and detect abnormalities in your time series data?

Vision

What Azure Cognitive Services subcategory allows you to add recognition and identification capabilities when you're analyzing pictures, videos, and other visual content?

Language

What Azure Cognitive Services subcategory allows your apps to process natural language with prebuilt scripts, evaluate sentiment, and learn how to recognize what users want?

Speech

What Azure Cognitive Services subcategory converts speech into text and text into natural-sounding speech?

Pipelines

What Azure Machine Learning feature enables data scientists to define pipelines, orchestrate model training, deployment, and management tasks?

Automated Machine Learning

What Azure Machine Learning feature enables non-experts to quickly create an effective machine learning model from data?

Data and Compute Management

What Azure Machine Learning feature provides a cloud-based data storage and compute resources that professional data scientists can use to run data experiment code at scale?

Azure Machine Learning Designer

What Azure Machine Learning feature provides a graphical interface enabling no-code development of machine learning solutions?

Text Analytics

What Azure NLP service is used to analyze text documents and extract key phrases, detect entities (such as places, dates, and people), and evaluate sentiment (how positive or negative a document is)?

Speech

What Azure NLP service is used to recognize and synthesize speech, and to translate spoken languages?

Language Understanding Intelligent Service (LUIS)

What Azure NLP service is used to train a language model that can understand spoken or text-based commands?

Translator Text

What Azure NLP service is used to translate text between more than 60 languages?

Azure Cognitive Services Personalizer

What Azure Service watches your users' actions within an application in order to predict their behavior and provide relevant experiences as it identifies usage patterns?

QnA Maker

What Azure conversational AI service enables you to quickly build a knowledge base of questions and answers that can form the basis of a dialog between a human and an AI agent?

Azure Bot Service

What Azure conversational AI service provides a platform for creating, publishing, and managing bots?

Data Factory

What Azure service is used for data ingestion in an Azure based machine learning solution?

Anomaly Detector

What Azure service provides an application programming interface (API) that developers can use to create anomaly detection solutions?

Azure Bot Service

What Azure service would you use to build a virtual agent that interfaces with humans via natural language?

Azure Machine Learning

What Azure service would you use to predict future outcomes based on private historical data or build a model using your own data to perform a task?

Azure Cognitive Services

What Azure service would you use understand the content and meaning of images, video, or audio, or that can translate text into a different language?

Image Classification Multi-class

What Machine Learning Data Labeling feature is best for applying a single label from a set of labels to an image?

Image Classification Multi-label

What Machine Learning Data Labeling feature is best for applying one or more labels from a set of labels to an image?

Text Classification Multi-label (Preview)

What Machine Learning Data Labeling feature is best for applying one or more labels from a set of labels to each piece of text?

Text Classification Multi-class (Preview)

What Machine Learning Data Labeling feature is best for applying only a single label from a set of labels to each piece of text?

Object Identification (Bounding Box)

What Machine Learning Data Labeling feature is best for assigning a label and a bounding box to each object within an image?

Instance Segmentation (Polygon)

What Machine Learning Data Labeling feature is best for assigning a labels and drawing a polygons around each object within an image?

Optical Character Recognition (OCR)

What allows you to extract printed or handwritten text from images, such as photos of street signs and products, as well as from documents—invoices, bills, financial reports, articles, and more?

Detect API

What applies tags based on the objects or living things identified in the image.?

Image Classification Object Classification Semantic Segmentation Image Analysis Face detection, analysis, and recognition Optical Character Recognition (OCR)

What are 6 common computer vision tasks?

Content Tags

What are tags based on thousands of recognizable objects, living beings, scenery, and actions?

Glass-box Black-box Fairlearn

What are the 3 "Explainability" AI opensource toolkits in Azure?

Objects are generally not detected if they're small (less than 5% of the image). Objects are generally not detected if they're arranged closely together (a stack of plates, for example). Objects are not differentiated by brand or product names (different types of sodas on a store shelf, for example). However, you can get brand information from an image by using the Brand detection feature.

What are the 3 limitations of Object Detection?

Computer Vision Custom Vision Face Form Recognizer

What are the 4 cognitive services Azure provides to help create computer vision solutions?

Text Analytics Translator Text Speech Language Understanding Intelligent Service (LUIS)

What are the 4 core Azure services used to build natural language processing solutions?

Automated Machine Learning Azure Machine Learning Designer Data and Compute Management Pipelines

What are the 4 features/capabilities of Azure Machine Learning?

Language Speech Vision Decision

What are the 4 subcategories of Azure Cognitive Services?

Machine learning Anomaly detection Computer vision Natural Language Processing Conversational AI

What are the 5 key elements of AI?

Accountability Inclusiveness Reliability and Safety Fairness Transparency Privacy and Security

What are the 6 key principles for a responsible AI?

Machine Learning Deep Learning

What are the two main approaches to AI?

Face

What cognitive service from Azure enables you to build face detection and facial recognition solutions?

Computer Vision

What cognitive service from Azure is used to analyze images and video, and extract descriptions, tags, objects, and text?

Form Recognizer

What cognitive service from Azure is used to extract information from scanned forms and invoices?

Custom Vision

What cognitive service from Azure is used to train custom image classification and object detection models using your own images?

Image Analysis

What computer vision task allows you to create solutions that combine machine learning models with advanced image analysis techniques to extract information from images, including "tags" that could help catalog the image or even descriptive captions that summarize the scene shown in the image?

Image Classification

What computer vision task involves training a machine learning model to classify images based on their contents?

Face Detection, Analysis, and Recognition

What computer vision task is a specialized form of object detection that locates human faces in an image?

Optical Character Recognition (OCR)

What computer vision task is a technique used to detect and read text in images?

Semantic Segmentation

What computer vision task is an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong?

Object Detection

What computer vision task is trained to classify individual objects within an image, and identify their location with a bounding box?

Computer Vision

What is Azure's latest OCR technology (learn what's new) that extracts printed text (in several languages), handwritten text (English only), digits, and currency symbols from images and multi-page PDF documents?

Language Understanding (LUIS)

What is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information?

Azure Machine Learning

What is a cloud-based platform for creating, managing, and publishing machine learning models?

Text Analytics API

What is a cloud-based service that provides Natural Language Processing (NLP) features for text mining and text analysis, including: sentiment analysis, opinion mining, key phrase extraction, language detection, and named entity recognition?

Azure Machine Learning Designer

What is a drag-and-drop interface used to train and deploy models in Azure Machine Learning?

Anomaly Detection

What is a machine learning based technique that analyzes data over time and identifies unusual changes?

Azure Machine Learning

What is a platform for making predictions. It consists of tools and services that allow you to connect to data to train and test models to find one that will most accurately predict a future result?

Brand Detection

What is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or video?

Cross-validation

What is a technique often used in machine learning to assess both the variability of a dataset and the reliability of any model trained through that data?

MLOps

What is based on DevOps principles and practices that increase the efficiency of workflows. For example, continuous integration, delivery, and deployment?

Artificial Intelligence

What is is the creation of software that imitates human behaviors and capabilities?

Object Detection

What is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found?

Natural language processing (NLP)

What is the area of AI that deals with creating software that understands written and spoken language?

Automated Machine Learning (AutoML)

What is the process of automating the time-consuming, iterative tasks of machine learning model development allowing data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality?

Feature Engineering

What is the process of creating new features from raw data to increase the predictive power of the learning algorithm?

Pull data Transform data train model with prepared data

What is the process of data ingestion and preparation in an AI solution?

Feature Selection

What is the process of selecting the key subset of features to reduce the dimensionality of the training problem?

Azure Speech service

What is the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription?

Sentiment Analysis

What is used find out what people think of your brand or topic by mining the text for clues about positive or negative opinion?

Language Detection

What is used to detect the language an input text is written in and report a single language code for every document submitted on the request in a wide range of languages, variants, dialects, and some regional/cultural languages?

Named Entity Recognition (NER)

What is used to identify and categorize entities in your text as people, places, organizations, quantities, Well-known entities are also recognized and linked to more information on the web?

Key phrase extraction

What is used to quickly identify the main concepts in text. For example, in the text "The food was delicious and there were wonderful staff"?

ML Pipelines

What is used to stitch together all of the steps involved in your model training process?

Machine Learning

What key element of AI is the foundation for an AI system, and is the way we "teach" a computer model to make prediction and draw conclusions from data?

Natural Language Processing

What key element of AI provides the capability for a computer to interpret written or spoken language, and respond in kind?

Conversational AI

What key element of AI provides the capability of a software "agent" to participate in a conversation?

Computer Vision

What key element of AI provides the capability of software to interpret the world visually through cameras, video, and images?

Anomaly Detection

What key element of AI provides the capability to automatically detect errors or unusual activity in a system?

Evaluate Module

What module do you use in Azure to measure the accuracy of a trained model?

Azure Cognitive Services

What provides prebuilt machine learning models that enable applications to see, hear, speak, understand, and even begin to reason?

Azure Face

What service provides AI algorithms that detect, recognize, and analyze human faces in images?

Clustering

What type of Machine Learning algorithm divides the data into multiple groups by determining the level of similarity between data points?

Regression

What type of Machine Learning algorithm is best to answer questions like: How much will the average two-bedroom home cost in my city next year? How many patients will come through the clinic on Tuesday?

Classification

What type of Machine Learning algorithm is best to answer questions like: Is this email spam? What is the sentiment (positive, negative, or neutral) of a given text?

Clustering

What type of Machine Learning algorithm is best to answer questions like: Which viewers like the same types of movies? Which printer models fail in the same way?

Regression

What type of Machine Learning algorithm predicts the value of a new data point based on historical data?

Classification

What type of Machine Learning algorithm uses predictive calculations to assign data to preset categories?

Bot Service

When you need to create virtual agents what Azure AI service would you use?