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NEW QUESTION: 1
Contoso Ltd.という名前の会社には、contoso.comという名前の単一ドメインのActiveDirectoryフォレストがあります。
Contosoは、すべてのワークロードをAzureに移行する準備をしています。 Contosoは、ユーザーがAzure Active Directory（Azure AD）と統合するクラウドベースのサービスにアクセスするときにシングルサインオン（SSO）を使用することを望んでいます。
フォーマットの問題が原因でAzureADとの同期に失敗するActiveDirectory内のオブジェクトを特定する必要があります。ソリューションはコストを最小限に抑える必要があります。
ソリューションに何を含める必要がありますか？
A. Active Directory移行ツール（ADMT）のパスワードエクスポートサーバーバージョン3.1（PES v3.1）
B. Microsoft Office 365 IdFix
C. Azure Advisor
D. Azure AD Connect Health
Answer: B
Explanation:
Explanation
https://docs.microsoft.com/en-us/troubleshoot/azure/active-directory/objects-dont-sync-ad-sync-tool
NEW QUESTION: 2
HOTSPOT
You have an existing order processing system that accepts .xml files,
The following code shows an example of a properly formatted order in XML:
You create the following class that will be serialized:
For each of the following properties, select Yes if the property is serialized according to the defined schema. Otherwise, select No.
Answer:
Explanation:
Explanation:
OrderId - NO (this will serialize as an element, not as aa attribute)
OrderDate - NO (doesn't have DataMember attribute, thus is completely ignored) CustomerName - YES (DataMember is set correctly)
NEW QUESTION: 3
Which mechanism does Cisco recommend for CE router interfaces that face the service provider for an EVPL circuit with multiple EVCs and multiple traffic classes?
A. WRED
B. LLQ
C. HCBWFQ
D. tail drop
Answer: C
NEW QUESTION: 4
ある会社には、15分ごとに更新される天気予報を生成するアプリケーションがあり、それぞれが約20バイトのサイズ（予測あたり20ギガバイト）の10億の一意の位置の出力解像度で更新されます。予測データは、1時間ごとに世界中で約500万回（1秒あたり1,400リクエスト）アクセスされ、気象イベントでは最大10倍アクセスされます。予測データは更新のたびに上書きされます。現在の天気予報アプリケーションのユーザーは、クエリへの応答がリクエストごとに2秒以内に返されることを期待しています。
どの設計が必要な要求率と応答時間を満たしていますか？
A. AmazonESクラスターに予測場所を保存します。クエリに応答するAWSLambda関数をオリジンとしてAmazonAPIGatewayエンドポイントをターゲットとするAmazonCloudFrontディストリビューションを使用します。キャッシュ制御タイムアウトを15分に設定して、APIGatewayステージでAPIキャッシングを有効にします。
B. AmazonS3の予測場所を個別のオブジェクトとして保存します。 EC2インスタンスのAutoScalingフリートのElasticLoad Balancingグループをターゲットにして、S3オブジェクトのオリジンをクエリするAmazonCloudFrontディストリビューションを作成します。 CloudFrontディストリビューションでキャッシュ制御タイムアウトを15分間に設定します。
C. AmazonESクラスターに予測場所を保存します。クエリに応答するAWSLambda関数をオリジンとしてAPIGatewayエンドポイントをターゲットとするAmazonCloudFrontディストリビューションを使用します。エッジの場所で15分間ローカルにデータをキャッシュするAmazonLambda @Edge関数を作成します。
D. 予測場所をAmazonEFSボリュームに保存します。 AmazonEFSボリュームをマウントしたAmazonEC2インスタンスのAutoScalingフリートのElasticLoadBalancingグループをターゲットとするAmazonCloudFrontディストリビューションを作成します。 CloudFrontディストリビューションで設定されたキャッシュ制御タイムアウトを15分間に設定します。
Answer: A
Explanation:
https://aws.amazon.com/blogs/networking-and-content-delivery/lambdaedge-design-best-practices/