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NEW QUESTION: 1
Azure Cosmos DBから、次の表に示すコンテナーを作成します。

次のアイテムをContainer1に追加します。

次の表に示すように、Azure Cosmos DBにアイテムを追加する予定です。

Container1とContainer2に正常に追加できるアイテムを識別する必要があります。
コンテナごとに何を特定する必要がありますか？回答するには、回答領域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は1ポイントの価値があります。

Answer:
Explanation:

Explanation

NEW QUESTION: 2
UESTION NO: 20
You have an Azure subscription that contains the virtual networks shown in the following table.

The subscription contains the virtual machines shown in the following table.

On NIC1, you configure an application security group named ASG1.
On which other network interfaces can you configure ASG1?
A. NIC2 and NIC3 only
B. NIC2, NIC3, NIC4, and NIC5
C. NIC2 only
D. NIC2, NIC3, and NIC4 only
Answer: A
Explanation:
Explanation
Only network interfaces in NVET1, which consists of Subnet11 and Subnet12, can be configured in ASG1, as all network interfaces assigned to an application security group have to exist in the same virtual network that the first network interface assigned to the application security group is in.
Reference:
https://azure.microsoft.com/es-es/blog/applicationsecuritygroups/

NEW QUESTION: 3
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 from a user's personal device to Microsoft Azure.
Litware has three development and commercial offices. The offices are located in the United States, Luxembourg, and India.
Litware products are sold worldwide. Litware has commercial representatives in more than 80 countries.
Existing 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 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.
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:
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.
Minimize the costs associated with transferring data from the event hub to Azure Storage.
Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of

date 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.
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.
When the Litware health tracking application asks users how they feel, their responses must be reported to Azure.
You extend the dashboard of the health tracking application to summarize fields across several users.
You need to recommend a file format for the activity data in Azure that meets the technical requirements.
What is the best recommendation to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
A. XML
B. ORC
C. TSV
D. CSV
E. JSON
Answer: A
Explanation:
Explanation/Reference:
Explanation:
From scenario: Litware identifies the following technical requirements:
Data from the devices must be stored for three years in a format that enables the fast processing of date fields and filtering.
XML is a good file format for filtering and processing of fields.