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NEW QUESTION: 1
If the Agile Controller uses an external authentication source, copy the user information of the external authentication source to the Agile Controller. Otherwise, authentication fails.
A. FALSE
B. TRUE
Answer: A

NEW QUESTION: 2
ある会社は、すべてのユーザーがインターネット経由でアクセスできる、公開されている物理的なオンプレミスインスタンスでゲームプレーヤーマッチングサービスをホストしています。インスタンスへのすべてのトラフィックはUDPを使用します。同社は、サービスをAWSに移行し、高レベルのセキュリティを提供したいと考えています。ソリューションアーキテクトは、AWSを使用してプレーヤーマッチングサービスのソリューションを設計する必要があります。
ソリューションアーキテクトがこれらの要件を満たすために実行する必要がある手順の組み合わせはどれですか? (3つ選択)
A. すべての非UDPトラフィックをブロックするようにネットワークACLルールを構成します。ネットワークACLを、ロードバランサーインスタンスを保持するサブネットに関連付けます。
B. プレーヤーマッチングインスタンスの前でアプリケーションロードバランサー(ALB)を使用します。 ALBのインターネット向けの完全修飾ドメイン名(FQDN)を指すAmazon Route53のフレンドリDNSエントリを使用します。
C. すべての公開リソースでAWS ShieldAdvancedを有効にします。
D. 非UDPトラフィックを明示的にドロップするAWS WAFルールを定義し、ルールをロードバランサーに関連付けます。 。
E. プレーヤーマッチングインスタンスの前でネットワークロードバランサー(NLB)を使用します。 NLBのElasticIPアドレスを指すAmazonRoute53のフレンドリDNSエントリを使用します
F. オリジンとしてElastic LoadBalancerを使用してAmazonCloudFrontを使用します。
Answer: A,C,E

NEW QUESTION: 3
You have a Microsoft SQL Server Integration Services (SSIS) package that contains a Data Flow task as shown in the Data Flow exhibit. (Click the Exhibit button.)

You install Data Quality Services (DQS) on the same server that hosts SSIS and deploy a knowledge base to manage customer email addresses. You add a DQS Cleansing transform to the Data Flow as shown in the Cleansing exhibit. (Click the Exhibit button.)

You create a Conditional Split transform as shown in the Splitter exhibit. (Click the Exhibit button.)

You need to split the output of the DQS Cleansing task to obtain only Correct values from the EmailAddress column.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

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/