AI-100 Whizcard

Are you ready for AI-100 Exam? Self-Assess yourself with “Whizlabs FREE TEST” AI-100 WhizCard Quick Bytes for you before the exam! WHIZ The information provided in WhizCards is for educational purposes only; created in CARD our efforts to help aspirants prepare for the AI-100 certification exam. Though references have been taken from Microsoft documentation, it’s not intended as a substitute for the official docs. The document can be reused, reproduced, and printed in any form; ensure that appropriate sources are credited and required permissions are received. Microsoft Azure Bing Services Bing Auto Suggest Bing Image Search API How to Use This? API Image search capabilities, image only search results Filters image by editing query, thumbnail preview for the images returned. Create a Cognitive Services Expand search capabilities by including Bing's suggested search query API Account. It helps to improve the users' Make sure it has access to search experience Bing News Search API Bing Search API. Returns a list of suggested Cognitive news searching capability, Finds news by sending search query You must have an Azure queries based on the partial Send search query to get relevant news articles, Integrated with Bing Autosuggest Subscription query string in the search box Bing Spell Check API Request sent on every Easy to call from any Contextual grammar check, Spell checking, utilises the machine learning search programming language that can and statistical machine translation. Request get processed and make HTTP Requests and parse Common expression in text, Informal terms used in text, Brands, Titles, and JSON message is JSON. Other popular expression, Accurate corrections and contextual correction returned Bing Video Search API Adds video searching capabilities, Filters, edits, and display video based on the editing query and thumbnail preview Customizing the search for trending videos from the internet Bing Custom Search API Bing Visual Search API Return insights for an image, upload an image and providing URL Insights returned are: Visually similar images, Shopping sources, Web pages that Customise Search include the images, Well-known people, well known places, Well-known things. Add free How to Use This? Bing Web Search API Specify domain and webpages for Bing Providing instant answers, search results that can be configured with: Bing Custom Search Use Web pages, Images, Videos, News, and translation. Enables pinning, boosting Portal to create customized JSON based and Bing based search, optimal for applications and demoting content search instance How to Use This? Identify and removes unwanted Unicode characters from search results Creates custom view of web Call Bing custom Search API search Bing Entity Search API to post create and integrate Search images, videos, Create a Cognitive Service search instances Return results like entities and places, Can be called by many collaborate and test custom API account languages like HTTP request, parse JSON and SDK. instances, and integrate Request to API with a Results can be used by Restaurants, Hotels, and Local Business hosted UI using JS code valid search Query Return Real time search suggestions, returns multiple entities having API response is processed multiple. meanings by parsing JSON Azure Anomaly Detector Azure Cognitive Services Anomaly Detector is an Azure offering that offers the Anomaly Anomaly detector following: Makes AI accessible without machine-learning expertise detection is performs performed in real- change points requirement time. detection as a batch in the data. That enables incorporating anomaly detection Simply needs an API call to embed the AI capabilities into the apps like the capabilities in apps and helps users in quick problem following. identification. The Anomaly Detector API provides two Anomaly detection detection modes: API also gives 1. Batch: Helps in detecting the Does not requires background in AI and/or ML. multiple additional anomalies as a batch information about 2. Streaming: Helps in detecting the data. anomalies as the data is Anomaly detection API performs the ingestion of generated. Performs the anomaly Hear Speak Search Understand Accelerate detection of the latest data point. time-series data irrespective of kind. Anomaly detection API selects the best anomaly Categories of services: detection model for the data ensures highest accuracy. Vision Upper and lower helps in recognition, The anomaly results is anomaly detection identification, returned for each data boundaries are The Anomaly Detector API can be used as stateless captioning, indexing, point's arithmetic mean returned. and moderating by the model service. (pictures, videos, and digital ink content The returned Speech values can be used Search 1. Helps in performing to see the range of normal values, along Features: Facilitates the speech conversion (speech to text, and text with the adding of Bing anomalies in to speech). Search APIs with the data. simple API call. 2. Translation 3. Speaker verification Steps to use: 4. Speaker recognition. Azure Subscription and Microsoft Power BI Desktop is required Loading and formatting the time series data is Decision Language Anomaly Detector API – Best Practices needed Helps in apps Allows processing Function needs to be created to send and building to provide pre-built scripts Aptly preparing the time series data. format the response. recommendations Sentiment that helps in quick, evaluation Anomaly Detector API parameters needs to be used Data source privacy and authentication needs informed and Determination of appropriately to be configured efficient decision- thanks for user Anomaly Detector API response could be making. acknowledgement visualised Anomaly data points are displayed Azure Bot Services Azure Data Bricks Is a data engineering tool based on cloud Used for data processing and reworking on the massive Bot – What is? Building a bot - Important Steps: quantities data Bots is a software program that How to Create an Azure Data Helps in data exploration assisted by machine learning performs tasks like a computer. The bricks workspace ? models. functions performed by Bots are Step 1: Login to Azure Data bricks is used for reading data from multiple generally repetitive tasks, and they are Plan Build Test data sources and then turning the same into the Azure portal Step 2: Specify based on intelligence. values for breakthrough insights by using Spark. Azure bot service: Navigate to Create a creating a Data resource > Analytics bricks workspace. This Service has two offerings: Creating and managing intelligent bots.Evaluate Connect Publish > Azure Data bricks. Creation of agents with the capability of performing conversations Do not require resources to be developed on any AI Azure Data bricks SQL Analytics Azure Data bricks Workspace Provides integrated connectivity which is scalable Run and execute SQL queries on Azure Data bricks Workspace is an Provides development service for developing intelligent bots Step 3: Select Review their data lake. interactive workspace. The Bot Framework Service is a component of the Azure Bot + Create Create Helps in creating visualization The data in a data lake lands here for dashboards. Service persistent long term storage, either Visualizing and Exploring the in Azure Blob or Azure Data Lake The Bot Framework Service facilitates the sending of information data. (user's app and the bot). Azure Bot Service/Bot Framework offerings: Azure Face Service Female Female Face Detection AI powered Azure Facial Service can be used to: Bot Service - Steps to create Helps to detect faces in image. Detect human faces in images, Bot development using the Bot Step – 1: Azure portal login Detected face is corresponded to a face Rectangle field Framework Step – 2: Click the Create a Recognize human faces in Coordinates are returned Bot Framework Tools to conceal resource link. Resource link is images location of the face and size of the face can be Female Male complete workflow of bot available on the upper left-hand determined. development corner of the Azure portal. Analyse human faces in images. Faces are listed in size order In the API response. Messages and events between Step – 3: Enter bot in search box Immersive Reader bots and channels are shared by Select Web App Bot from the Below face related attributes can be extracted: using BSF (Bot Framework drop-down list Improving the reading comprehensions by use of AI/ML Service) Step – 4: Click the Create button Can be integrated with the web applications Helps the Bot deployment in on the Web App Bot page Facilitates improved readability by isolating content Azure Step – 5: Make the service and Pictures are displayed for common words and terms Helps with channel configuration deploy the bot (on to the cloud) Highlighting verbs, pronouns, nouns etc. Face Gender Age Emotions Hair Styles Glasses by clicking Create Performs loudly reading of content Speech synthesis is integrated with Immersive Reader service Can perform the translation of the content in real-time Face Verification, Find similar faces, matching face, authenticate btw objects and recognised Can perform splitting the words into syllables face. Features Speech Text -Analytics synthesis SSML Text-to-Speech Asynchronous Neural voices Is a part of Azure Cognitive Services synthesis of Standard . Facilitates conversion of text to speech (the speech is human like long audio voices Is a collection

Load more