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NEW QUESTION: 1
ASP.NET MVCアプリケーションを開発します。 リアルタイムプッシュ通知のためにASP.NET SignalRを実装する予定です。 このアプリケーションには、次のクラスが含まれます。

メッセージを表示する必要があります。
関連するコードセグメントをどのように完成させるべきですか？ 答えを得るには、適切なコードセグメントを正しい場所にドラッグします。 各コードセグメントは、1回、複数回、またはまったく使用されないことがあります。 コンテンツを表示するには、分割バーをペインの間にドラッグするかスクロールする必要があります。

Answer:
Explanation:

Explanation:
Box 1: $.hubconnection();
Create a connection.
Box 2: con.createHubProyxy('MyHub');
Declare a proxy to reference the hub.
Box 3: hub.start()('function', function(hello) {
Start the connection
References: https://www.asp.net/signalr/overview/getting-started/tutorial-getting-started-with-signalr

NEW QUESTION: 2
az400-9940427-mainという名前のAzure Webアプリがローリングアップグレードをサポートしていることを確認する必要があります。ソリューションでは、az400-9940427-mainに接続するユーザーの10％のみがアプリの更新バージョンを使用するようにする必要があります。
ソリューションは、管理作業を最小限に抑える必要があります。
このタスクを完了するには、Microsoft Azureポータルにサインインします。
Answer:
Explanation:
See solution below.
Explanation
Set up staging environments in Azure App Service
1. Open Microsoft Azure Portal
2. Log into your Azure account, select your app's resource page, in the left pane, select Deployment slots > Add Slot.

3. In the Add a slot dialog box, give the slot a name, and select whether to clone an app configuration from another deployment slot. Select Add to continue.

4. After the slot is added, select Close to close the dialog box. The new slot is now shown on the Deployment slots page. By default, Traffic % is set to 0 for the new slot, with all customer traffic routed to the production slot.
5. Select the new deployment slot to open that slot's resource page.

6. Change TRAFFIC % to 10
References:
https://docs.microsoft.com/en-us/azure/app-service/deploy-staging-slots

NEW QUESTION: 3
Refer to the exhibit.

A customer has set up an autonomous access point with a single broadcast SSID on the 2.4-GHz radio and requested that an engineer add an additional SSID to the 2.4-GHz radio. Given the output, what should be configured to implement the new SSID?
A. guest-mode under the new SSID
B. dot11 mbssid globally and mbssid mode under the SSIDs
C. the new SSID on the 5-GHz radio
D. guest-mode on the dot11 radio interface
Answer: B

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The FactOrder table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night Use a partitioning strategy that is as granular as possible.
* Partition the FactOrder table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure "that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
End of repeated scenario
You need to optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Which technology should you use for each table?
To answer, select the appropriate technologies in the answer area.


Answer:
Explanation:

Explanation

Box 1: Temporal table
Box 2: Temporal table
Compared to CDC, Temporal tables are more efficient in storing historical data as it ignores insert actions.
Box 3: Change Data Capture (CDC)
By using change data capture, you can track changes that have occurred over time to your table. This kind of functionality is useful for applications, like a data warehouse load process that need to identify changes, so they can correctly apply updates to track historical changes over time.
CDC is good for maintaining slowly changing dimensions.
Scenario: Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated.
References:
https://www.mssqltips.com/sqlservertip/5212/sql-server-temporal-tables-vs-change-data-capture-vs-change-track
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios?view=sql-server