| Plan and Manage an Azure Cognitive Services Solution |
15-20% |
Select the appropriate Cognitive Services resource
- select the appropriate cognitive service for a vision solution
- select the appropriate cognitive service for a language analysis solution
- select the appropriate cognitive Service for a decision support solution
- select the appropriate cognitive service for a speech solution
Plan and configure security for a Cognitive Services solution
- manage Cognitive Services account keys
- manage authentication for a resource
- secure Cognitive Services by using Azure Virtual Network
- plan for a solution that meets responsible AI principles
Create a Cognitive Services resource
- create a Cognitive Services resource
- configure diagnostic logging for a Cognitive Services resource
- manage Cognitive Services costs
- monitor a cognitive service
- implement a privacy policy in Cognitive Services
Plan and implement Cognitive Services containers
- identify when to deploy to a container
- containerize Cognitive Services (including Computer Vision API, Face API, Text Analytics, Speech, Form Recognizer)
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| Implement Computer Vision Solutions |
20-25% |
Analyze images by using the Computer Vision API
- retrieve image descriptions and tags by using the Computer Vision API
- identify landmarks and celebrities by using the Computer Vision API
- detect brands in images by using the Computer Vision API
- moderate content in images by using the Computer Vision API
- generate thumbnails by using the Computer Vision API
Extract text from images
- extract text from images by using the OCR API
- extract text from images or PDFs by using the Read API
- convert handwritten text by using Ink Recognizer
- extract information from forms or receipts by using the pre-built receipt model in Form Recognizer
- build andoptimize a custom model for Form Recognizer
Extract facial information from images
- detect faces in an image by using the Face API
- recognize faces in an image by using the Face API
- analyze facial attributes by using the Face API
- match similar faces by using the Face API
Implement image classification by using the Custom Vision service
- label images by using the Computer Vision Portal
- train a custom image classification model in the Custom Vision Portal
- train a custom image classification model by using the SDK
- manage model iterations
- evaluate classification model metrics
- publish a trained iteration of a model
- export a model in an appropriate format for a specific target
- consume a classification model from a client application
- deploy image classification custom models to containers
Implement an object detection solution by using the Custom Vision service
- label images with bounding boxes by using the Computer Vision Portal
- train a custom object detection model by using the Custom Vision Portal
- train a customobject detection model by using the SDK
- manage model iterations
- evaluate object detection model metrics
- publish a trained iteration of a model
- consume an object detection model from a client application
- deploy custom object detection models to containers
Analyze video by using Video Indexer
- process a video
- extract insights from a video
- moderate content in a video
- customize the Brands model used by Video Indexer
- customize the Language model used by Video Indexer by using the Custom Speech service
- customize the Person model used by Video Indexer
- extract insights from a live stream of video data
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| Implement Natural Language Processing Solutions |
20-25% |
Analyze text by using the Text Analytics service
- retrieve and process key phrases
- retrieveand process entity information (people, places, urls, etc.)
- retrieve and process sentiment
- detect the language used in text
Manage speech by using the Speech service
- implement text-to-speech
- customize text-to-speech
- implement speech-to-text
- improve speech-to-text accuracy
Translate language
- translate text by using the Translator service
- translate speech-to-speech by using the Speech service
- translate speech-to-text by using the Speech service
Build an initial language model by using Language Understanding Service (LUIS)
- create intents and entities based on a schema, and then add utterances
- create complex hierarchical entitiesouse this instead of roles
- train and deploy a model
Iterate on and optimize a language model by using LUIS
- implement phrase lists
- implement a model as a feature (i.e. prebuilt entities)
- manage punctuation and diacritics
- implement active learning
- monitor and correct data imbalances
- implement patterns
Manage a LUIS model
- manage collaborators
- manage versioning
- publish a model through the portal or in a container
- export a LUIS package
- deploy a LUIS package to a container
- integrate Bot Framework (LUDown) to run outside of the LUIS portal
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| Implement Knowledge Mining Solutions |
15-20% |
Implement a Cognitive Search solution
- create data sources
- define an index
- create and run an indexer
- query an index
- configure an index to support autocomplete and autosuggest
- boost results based on relevance
- implement synonyms
Implement an enrichment pipeline
- attach a Cognitive Services account to a skillset
- select and include built-in skills for documents
- implement custom skills and include them in a skillset
Implement a knowledge store
- define file projections
- define object projections
- define table projections
- query projections
Manage a Cognitive Search solution
- provision Cognitive Search
- configure security for Cognitive Search
- configure scalability for Cognitive Search
Manage indexing
- manage re-indexing
- rebuild indexes
- schedule indexing
- monitor indexing
- implement incremental indexing
- manage concurrency
- push data to an index
- troubleshoot indexing for a pipeline
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| Implement Conversational AI Solutions |
15-20% |
Create a knowledge base by using QnA Maker
- create a QnA Maker service
- create a knowledge base
- import a knowledge base
- train and test a knowledge base
- publish a knowledge base
- create a multi-turn conversation
- add alternate phrasing
- add chit-chat to a knowledge base
- export a knowledge base
- add active learning to a knowledge base
- manage collaborators
Design and implement conversation flow
- design conversation logic for a bot
- create and evaluate *.chat file conversations by using the Bot Framework Emulator
- add language generation for a response
- design and implement adaptive cards
Create a bot by using the Bot Framework SDK
- implement dialogs
- maintain state
- implement logging for a bot conversation
- implement a prompt for user input
- add and review bot telemetry
- implement a bot-to-human handoff
- troubleshoot a conversational bot
- add a custom middleware for processing user messages
- manage identity and authentication
- implement channel-specific logic
- publish a bot
Create a bot by using the Bot Framework Composer
- implement dialogs
- maintain state
- implement logging for a bot conversation
- implement prompts for user input
- troubleshoot a conversational bot
- test a bot by using the Bot Framework Emulator
- publish a bot
Integrate Cognitive Services into a bot
- integrate a QnA Maker service
- integrate a LUIS service
- integrate a Speech service
- integrate Dispatch for multiple language models
- manage keys in app settings file
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