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NEW QUESTION: 1
共有コードを見つけて分離する必要があります。 共有コードは一連のパッケージで管理されます。
どの3つのアクションを順番に実行しますか？ 答えるには、適切な行動を行動のリストから回答領域に移動し、正しい順序で並べます。
Answer:
Explanation:
Explanation
Step 1: Create a dependency graph for the application
By linking work items and other objects, you can track related work, dependencies, and changes made over time. All links are defined with a specific link type. For example, you can use Parent/Child links to link work items to support a hierarchical tree structure. Whereas, the Commit and Branch link types support links between work items and commits and branches, respectively.
Step 2: Group the related components.
Packages enable you to share code across your organization: you can compose a large product, develop multiple products based on a common shared framework, or create and share reusable components and libraries.
Step 3: Assign ownership to each component graph
References:
https://docs.microsoft.com/en-us/azure/devops/boards/queries/link-work-items-support-traceability?view=azure-
https://docs.microsoft.com/en-us/visualstudio/releasenotes/tfs2017-relnotes
NEW QUESTION: 2
Which word or phrase completes the statement? Business Intelligence is to monitoring trends as Data Science is to ________ trends.
A. Optimizing
B. Discarding
C. Driving
D. Predicting
Answer: D
NEW QUESTION: 3
You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements:
Alert teachers if a student seems angry or distracted.
Identify each student in the classrooms for attendance purposes.
Allow the teachers to log the text of conversations between themselves and the students.
Which Cognitive Services should you recommend?
A. Text Analytics, QnA Maker, and Computer Vision
B. Computer Vision, Speech to Text, and Text Analytics
C. Computer Vision, Text Analytics, and Face API
D. Video Indexer, Speech to Text, and Face API
E. Video Indexer, Face API, and Text Analytics
Answer: D
Explanation:
Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models.
Face API enables you to search, identify, and match faces in your private repository of up to 1 million people.
The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input. This service is powered by the same recognition technology that Microsoft uses for Cortana and Office products, and works seamlessly with the translation and text-to-speech.
Incorrect Answers:
Computer Vision or the QnA is not required.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text
NEW QUESTION: 4
Which two characteristics are associated with the core layer of a Cisco Data Center Unified Fabric network? (Choose two.)
A. no packet manipulation
B. scalable routing protocols
C. voice, data, and wireless convergence
D. QoS - classification and queuing
E. QoS - policing
F. provides default gateway redundancy
Answer: A,B
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