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NEW QUESTION: 1

必要に応じて、次のログイン資格情報を使用します。
Azureユーザー名:xxxxx
Azureパスワード:xxxxx
次の情報は、テクニカルサポートのみを目的としています。
ラボインスタンス:10277521
Runtime1という名前の統合ランタイムをAzure仮想マシンにデプロイする予定です。
Azure Data Factory V2を作成してから、App1に必要なData Factoryリソースを準備する必要があります。
このタスクを完了するには、Azureポータルにサインインします。
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create an Azure Data Factory V2
1. Go to the Azure portal.
2. Select Create a resource on the left menu, select Analytics, and then select Data Factory.

4. On the New data factory page, enter a name.
5. For Subscription, select your Azure subscription in which you want to create the data factory.
6. For Resource Group, use one of the following steps:
Select Use existing, and select an existing resource group from the list.
Select Create new, and enter the name of a resource group.
7. For Version, select V2.
8. For Location, select the location for the data factory.
9. Select Create.
10. After the creation is complete, you see the Data Factory page.
Step 2: Setup of the Integration Runtime Runtime1
High-level steps for creating a linked self-hosted IR
1. In the self-hosted IR Runtime to be shared, click Connections and Grant permission to another Data Factory. .

2. Select the data factory you just created.

Note the resource ID of the self-hosted IR to be shared.

3. In the data factory to which the permissions were granted, create a new self-hosted IR (linked) and enter the resource ID.


References:
https://docs.microsoft.com/en-us/azure/data-factory/quickstart-create-data-factory-portal
https://docs.microsoft.com/en-us/azure/data-factory/create-self-hosted-integration-runtime#sharing-the-self-hoste

NEW QUESTION: 2
What can the storage type search sequence include? There are 2 correct answers to this question Response:
A. Product batches to be included in the search
B. A list of storage types
C. A list of storage sections
D. A list of storage types groups
Answer: B,D

NEW QUESTION: 3
A company that provides economics data dashboards needs to be able to develop software to display rich, interactive, data-driven graphics that run in web browsers and leverages the full stack of web standards (HTML, SVG and CSS).
Which technology provides the most appropriate for this requirement?
A. Python/Jupyter
B. D3.js
C. R Studio
D. Hue
Answer: B
Explanation:
Explanation
Refer : https://d3js.org/. D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS. D3's emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.

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