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NEW QUESTION: 1
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Ihr Netzwerk enthält die in der folgenden Tabelle aufgeführten Active Directory-Gesamtstrukturen und -Domänen:

Zwischen ForestA und ForestB besteht eine bidirektionale Gesamtstrukturvertrauensstellung.
Jede Domäne in ForestB enthält Benutzerkonten, mit denen Server verwaltet werden.
Sie müssen sicherstellen, dass die zum Verwalten der Server in ForestB verwendeten Benutzerkonten Mitglieder der Serveroperatoren in ForestA sind.
Lösung: In jeder Domäne in ForestB erstellen Sie eine globale Gruppe, die die Benutzerkonten der jeweiligen Domäne enthält. Sie erstellen eine universelle Gruppe in DomainBRoot. Sie fügen die neuen globalen Gruppen der neuen universellen Gruppe hinzu. Sie ändern die Mitgliedschaft der Server-Operatoren in ForestA.
Erfüllt dies das Ziel?
A. ja
B. Nein
Answer: A
Explanation:
References:
https://docs.microsoft.com/en-us/windows/security/identity-protection/access-control/active-directory-security-groups

NEW QUESTION: 2
Which of the following is the MOST important process that an information security manager needs to negotiate with an outsource service provider?
A. The right to conduct independent security reviews
B. A joint risk assessment of the system
C. A legally binding data protection agreement
D. Encryption between the organization and the provider
Answer: A
Explanation:
Explanation/Reference:
Explanation:
A key requirement of an outsource contract involving critical business systems is the establishment of the organization's right to conduct independent security reviews of the provider's security controls. A legally binding data protection agreement is also critical, but secondary to choice A, which permits examination of the actual security controls prevailing over the system and. as such, is the more effective risk management tool. Network encryption of the link between the organization and the provider may well be a requirement, but is not as critical since it would also be included in choice A. A joint risk assessment of the system in conjunction with the outsource provider may be a compromise solution, should the right to conduct independent security reviews of the controls related to the system prove contractually difficult.

NEW QUESTION: 3
5つの言語をサポートするボットを作成する予定です。ボットは、3つの異なる国にいるユーザーによって使用されます。ボットは、一般的な顧客の質問に答えます。ボットは、言語理解（LUIS）を使用して、使用するスキルを識別し、顧客の言語を検出します。
計画されたボット用に作成する必要があるAzureリソースの最小数を特定する必要があります。
QnA Maker、LUIS、および言語検出のインスタンスをいくつ作成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language