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NEW QUESTION: 1
ネットワークには、contoso.comという名前のActive Directoryドメインが含まれています。ドメインには、次の表に示すファイルサーバーが含まれます。

File1.abcという名前のファイルがServer1に保存されます。 File2.abcという名前のファイルがServer2に保存されます。 App1、App2、およびApp3という名前の3つのアプリはすべて、.abcファイル拡張子を持つファイルを開きます。
次の構成を使用して、Windows情報保護（WIP）を実装します。
*免除アプリ：App2
*保護されたアプリ：App1
* Windows情報保護モード：ブロック
*ネットワーク境界：192.168.1.1-192.168.1.255のIPv4範囲
File1.abcを開くことができるアプリを識別する必要があります
以下の各ステートメントについて、ステートメントが真である場合は「はい」を選択します。それ以外の場合は、「いいえ」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:

説明

参照：
https://docs.microsoft.com/en-us/windows/security/information-protection/windows-information-protection/crea

NEW QUESTION: 2
Which of the following differentiates the capabilities of IBM Cloud Manager with OpenStack from PowerVC?
A. Generates custom expiration policies for each virtual machine.
B. Provides virtual machine relocation.
C. Captures existing virtual machines as images within the image repository.
D. Deploys images within the image repository with policy based placement.
Answer: A
Explanation:
Reference:
https://www.ibm.com/developerworks/servicemanagement/cvm/sce/i/IBMCloudManagerwithOpenStack.pdf (See Page #33, 3rd point).

NEW QUESTION: 3
Which statement about Network Services Orchestrator (NSO) is true?
A. It is used only in service provider environments
B. It can be used only with XML coding
C. It uses YANG modeling language to automate devices
D. It must use SDN as an overlay for addressing
Answer: C

NEW QUESTION: 4
You need to build a chatbot that meets the following requirements:
Supports chit-chat, knowledge base, and multilingual models
Performs sentiment analysis on user messages
Selects the best language model automatically
What should you integrate into the chatbot?
A. QnA Maker, Language Understanding, and Dispatch
B. Text Analytics, Translator, and Dispatch
C. Language Understanding, Text Analytics, and QnA Maker
D. Translator, Speech, and Dispatch
Answer: C
Explanation:
Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.
Text Analytics: Mine insights in unstructured text using natural language processing (NLP)-no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input Incorrect Answers:
A, B, D: Dispatch uses sample utterances for each of your bot's different tasks (LUIS, QnA Maker, or custom), and builds a model that can be used to properly route your user's request to the right task, even across multiple bots.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview