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NEW QUESTION: 1
You use Forefront Identity Manager (FIM) 2010 in your company network to provide an identity management solution between Active Directory Domain Services (AD DS) and enterprise HR applications. You create the required Management Agents (MAs). You need to make searching for object attributes of join rules more efficient. What should you do?
A. Enable indexing for indexable object attributes.
B. Configure the attribute flow precedence to use manual precedence.
C. Configure the attribute flow precedence to use equal precedence.
D. Enable metaverse rules extension and select the Unload extension if the duration of a single operation exceeds setting.
Answer: A

NEW QUESTION: 2
Refer to the exhibit.

Which statement is true?
A. This is a point-to-multipoint LSP in an MPLS network.
B. This is an MPLS TE multipoint-to-point LSP in an MPLS network.
C. This is a multipoint-to-multipoint LSP in an MPLS network.
D. This is an MPLS TE point-to-multipoint LSP in an MPLS network.
Answer: C
Explanation:
Same example of this provided on slide 24 at the reference link below:
Reference: "mVPN Deployment Models" Cisco Live Presentation
http://d2zmdbbm9feqrf.cloudfront.net/2014/eur/pdf/BRKIPM-2011.pdf, slide 24

NEW QUESTION: 3
HOTSPOT




Answer:
Explanation:

Explanation: Remove-AdGroup -identity 'OU=temporaryUsers,dc=contoso.dc"com"- recursive

NEW QUESTION: 4
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. ビデオインデクサー
B. Face API
C. テキスト分析
D. カスタム音声サービス
Answer: A
Explanation:
Azure Video Indexerは、Azure Media Analytics、Azure Search、Cognitive Services（Face API、Microsoft Translator、Computer Vision API、Custom Speech Serviceなど）上に構築されたクラウドアプリケーションです。以下で説明するVideo Indexerビデオおよびオーディオモデルを使用して、ビデオから洞察を抽出できます。
ビジュアルテキスト認識（OCR）：ビデオに視覚的に表示されるテキストを抽出します。
音声転写：音声を12言語のテキストに変換し、拡張を許可します。
感情分析：音声およびビジュアルテキストから肯定的、否定的、および中立的な感情を識別します。
顔検出：ビデオに表示される顔を検出してグループ化します。
参照：
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview