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NEW QUESTION: 1
展示を参照してください。

展示に示された証明書の値によると、証明書はどの種類のエンティティに発行されましたか？
A. A bridge CA
B. A user
C. A root CA
D. A subordinate
Answer: B

NEW QUESTION: 2
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、Windows Server 2016を実行するServer1という名前のサーバーが含まれています。
Server1は、contoso.comドメイン内のすべてのコンピューターからの受信接続を許可します。 Server1のIPアドレスは192.168.0.10です。
Server1は、Container1という名前のWindowsコンテナーをホストします。 Container1は、ポート80でアクセス可能なWebサイトをホストします。
Dockerクライアントを使用して、ドメイン内の任意のコンピューターからContainer1を管理できることを確認する必要があります。
どの3つのコマンドレットを順番に実行する必要がありますか？ 回答するには、適切なコマンドレットをコマンドレットのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation:
References:
https://glennsarti.github.io/blog/getting-started-with-windows-containers/
https://docs.microsoft.com/en-us/virtualization/windowscontainers/manage-containers/container-networking

NEW QUESTION: 3
Structured problem solving provides what essential result to an organization?
A. Resolution of both strategic and operational problems
B. Resolution of problems of other organizations in like markets or with similar customers
C. Recognition of problems with the company's management team
D. Recognition of problems in the company's competitive position
Answer: A

NEW QUESTION: 4
Your company has thousands of Internet-connected sensors.
You need to recommend a computing solution to perform a real-time analysis of the data generated by the sensors.
Which computing solution should you include in the recommendation?
A. Microsoft Azure Stream Analytics
B. Microsoft Azure Cognitive Services
C. Microsoft Azure Notification Hubs
D. a Microsoft Azure HDInsight HBase cluster
Answer: D
Explanation:
Explanation: HDInsight HBase is offered as a managed cluster that is integrated into the Azure environment. The clusters are configured to store data directly in Azure Storage or Azure Data Lake Store, which provides low latency and increased elasticity in performance and cost choices. This enables customers to build interactive websites that work with large datasets, to build services that store sensor and telemetry data from millions of end points, and to analyze this data with Hadoop jobs. HBase and Hadoop are good starting points for big data project in Azure; in particular, they can enable real-time applications to work with large datasets.
============================================
Topic 3, Litware, Inc
Overview
General Overview
Litware, Inc. is a company that manufactures personal devices to track physical activity and other health-related data.
Litware has a health tracking application that sends health-related data horn a user's personal device to Microsoft Azure.
Physical Locations
Litware has three development and commercial offices. The offices are located in the Untied States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than
80 countries.
Existing Environment
Environment
In addition to using desktop computers in all of the offices. Litware recently started using Microsoft Azure resources and services for both development and operations.
Litware has an Azure Machine Learning Solution.
Litware Health Tracking Application
Litware recently extended its platform to provide third-party companies with the ability to upload data from devices to Azure. The data can be aggregated across multiple devices to provide users with a comprehensive view of their global health activity.
While the upload from each device is small, potentially more than 100 million devices will upload data daily by using an Azure event hub.
Each health activity has a small amount of data, such as activity type, start date/time, and end date/time. Each activity is limited to a total of 3 KB and includes a customer Identification key.
In addition to the Litware health tracking application, the users' activities can be reported to Azure by using an open API.
Machine Learning Experiments
The developers at Litware perform Machine Learning experiments to recommend an appropriate health activity based on the past three activities of a user.
The Litware developers train a model to recommend the best activity for a user based on the hour of the day.
Requirements
Planned Changes
Litware plans to extend the existing dashboard features so that health activities can be compared between the users based on age, gender, and geographic region.
Business Goals
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Technical Requirements
Litware identities the following technical requirements:
Data from the devices must be stored from three years in a format that enables the fast processing of data fields and Filtering.
The third-party companies must be able to use the Litware Machine learning models to generate recommendations to their users by using a third-party application.
Any changes to the health tracking application must ensure that the Litware developers can run the experiments without interrupting or degrading the performance of the production environment.
Privacy Requirements
Activity tracking data must be available to all of the Litware developers for experimentation.
The developers must be prevented from accessing the private information of the users.
Other Technical Requirements
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.