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NEW QUESTION: 1
You have a Microsoft Azure Active Directory (Azure AD) tenant named contoso.com.
Four Windows 10 devices are joined to the tenant as shown in the following table.

On which devices can you use BitLocker To Go and on which devices can you turn on auto-unlock? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 2
Refer to the exhibits.

Phase-3 tunnels cannot be established between spoke-to-spoke in DMVPN. Which two commands are missing? (Choose two.)
A. The ip nhrp map command is missing on the hub router.
B. The ip nhrp redirect command is missing on the spoke routers.
C. The ip nhrp shortcut command is missing on the spoke routers.
D. The ip nhrp redirect command is missing on the hub router.
E. The ip nhrp shortcut command is missing on the hub router.
Answer: C,D

NEW QUESTION: 3
Drag and drop the characteristics from the left to the matching STP mode on the right.

Answer:
Explanation:

Explanation

NEW QUESTION: 4
会社がAmazon EC2で商用Apache Hadoopクラスターを実行しています。このクラスターは、Amazon S3上の大きなファイルをクエリするために毎日使用されています。 Amazon S3のデータは精選されており、追加の変換手順は必要ありません。同社は、Amazon EC2の商用ビジネスインテリジェンス（BI）ツールを使用して、Hadoopクラスターに対してクエリを実行し、データを視覚化しています。
同社は、HadoopクラスターとBIツールの管理に関連するオーバーヘッドコストを削減または排除したいと考えています。同社は、最小限の労力でより費用対効果の高いソリューションに移行したいと考えています。視覚化は簡単で、いくつかの基本的な集計手順のみを実行する必要があります。
どのオプションが会社の要件を満たしますか？
A. Amazon Athenaを使用してAmazon S3上のファイルをクエリおよび分析するスクリプトを開発します。次に、Amazon QuickSightを使用してAthenaに接続し、視覚化を実行します。
B. Amazon EC2で実行される商用の抽出、変換、読み込み（ETL）ツールを使用して、処理するデータを準備します。次に、Amazon EC2で実行されるより高速で安価なBlツールに切り替えて、Amazon S3からのデータを視覚化します。
C. Amazon EC2で実行されているMySQLデータベースから呼び出されるストアドプロシージャを開発して、EC2を分析し、Amazon S3のファイルを分析します。次に、Amazon EC2で実行されている高速インメモリBLツールを使用して、データを視覚化します。
D. 一時的なAmazon EMRクラスターを毎日起動し、Apache Hiveスクリプトを開発してAmazon S3上のファイルを分析します。ジョブが完了したら、Amazon EMRクラスターをシャットダウンします。 Amazon QuickSightを使用してAmazon EMRに接続し、視覚化を実行します。
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html
https://aws.amazon.com/athena/