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NEW QUESTION: 1
ストリーミングデータを分析するAPIパイプラインを構築する必要があります。パイプラインは次を実行します。
*視覚的なテキスト認識
*音声転写
* 感情分析
* 顔検出
どのAzure Cognitive Servicesをパイプラインで使用する必要がありますか？
A. テキスト分析
B. カスタム音声サービス
C. ビデオインデクサー
D. Face API
Answer: C
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 described below:
Visual text recognition (OCR): Extracts text that is visually displayed in the video.
Audio transcription: Converts speech to text in 12 languages and allows extensions.
Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text.
Face detection: Detects and groups faces appearing in the video.
References:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview
NEW QUESTION: 2
Which of the following is a Framework that can be used to implement Green IT systems?
A. The Custom Development Framework.
B. The Green Data Centre Toolkit.
C. The Environmental Systems Method.
D. The IT Infrastructure Library.
Answer: D
NEW QUESTION: 3
組織では複数のプロジェクトが同時に行われています。
リソースがプロジェクトに適切に配分されていることを保証することで、以下のうちどれを任さなければならないのでしょうか？
A. Project coordinator
B. HR
C. PMO
D. Project sponsor
Answer: D
Explanation:
References: Kim Heldman, CompTIA Project+ Study Guide, 2nd Edition, Sybex, Indianapolis, 2017, p. 82
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