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NEW QUESTION: 1
データフロー展示に示すように、データフロータスクを含むMicrosoft SQL Server統合サービス（SSIS）パッケージがあります。 （展示ボタンをクリックしてください。）

SSISをホストするサーバーと同じサーバーにData Quality Services（DQS）をインストールし、顧客の電子メールアドレスを管理するためのナレッジベースを展開します。 クレンジングの展示に示すように、DQSクレンジングトランスフォームをデータフローに追加します。 （展示ボタンをクリックしてください。）

「スプリッター」の図に示すように、条件付き分割変換を作成します。 （展示ボタンをクリックしてください。）

EmailAddress列から正しい値のみを取得するには、DQSクレンジングタスクの出力を分割する必要があります。
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。 そうでなければ、いいえを選択します。

Answer:
Explanation:

Explanation

The DQS Cleansing component takes input records, sends them to a DQS server, and gets them back corrected. The component can output not only the corrected data, but also additional columns that may be useful for you. For example - the status columns. There is one status column for each mapped field, and another one that aggregated the status for the whole record. This record status column can be very useful in some scenarios, especially when records are further processed in different ways depending on their status. Is such cases, it is recommended to use a Conditional Split component below the DQS Cleansing component, and configure it to split the records to groups based on the record status (or based on other columns such as specific field status).
References: https://blogs.msdn.microsoft.com/dqs/2011/07/18/using-the-ssis-dqs-cleansing-component/

NEW QUESTION: 2
ネットワークにActive Directoryフォレストが含まれています。 フォレストには、Site1とSite2という2つのサイトがあります。 Site1には10個のドメインコントローラがあります。 サイト1とサイト2は、WANリンクを使用して互いに接続します。
次の図に示すように、Active Directoryドメインサービス構成ウィザードを実行します。

Server3はSite2の唯一のサーバーです。
ドロップダウンメニューを使用して、グラフィックに表示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。

Answer:
Explanation:

Explanation:
By selectively caching credentials, RODCs address some of the challenges that enterprises can encounter in branch offices and perimeter networks (also known as DMZs) that may lack the physical security that is commonly found in datacenters and hub sites.

NEW QUESTION: 3
An organization has two Amazon EC2 instances:

The first is running an ordering application and an inventory application.

The second is running a queuing system.
During certain times of the year, several thousand orders are placed per second. Some orders were lost when the queuing system was down. Also, the organization's inventory application has the incorrect quantity of products because some orders were processed twice.
What should be done to ensure that the applications can handle the increasing number of orders?
A. Put the ordering and inventory applications into their own AWS Lambda functions. Have the ordering application write the messages into an Amazon SQS FIFO queue.
B. Put the ordering and inventory applications into their own Amazon ECS containers and create an Auto Scaling group for each application. Then, deploy the message queuing server in multiple Availability Zones.
C. Put the ordering and inventory applications into their own Amazon EC2 instances, and create an Auto Scaling group for each application. Use Amazon SQS standard queues for the incoming orders, and implement idempotency in the inventory application.
D. Put the ordering and inventory applications into their own Amazon EC2 instances. Write the incoming orders to an Amazon Kinesis data stream Configure AWS Lambda to poll the stream and update the inventory application.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/standard-queues.html