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NEW QUESTION: 1
Choose three ways to enable MTOM on a web service endpoint deployed in an EE container ? (Choose three)
A. by specifying a wsoma:MTOM policy in WSDLE. by specifying <mtom> element in sun-jaxws.xml
B. enabled by the container automatically
C. by specifying @MTOM annotation on the endpoint's class
D. by specifying <enable-mtom> in webservices.xml deployment descriptor
Answer: A,C,D

NEW QUESTION: 2
An employee accesses their Personal Information work area and wants to create his personal payment method. On navigating to the link, the employee sees that the 'Create' icon is disabled and is unable to create their personal payment method. The employee raises a service request to troubleshoot this issue.
What are the two options the Analyst supporting the service request look at for the root cause? (Choose two.)
A. The elements are not defined.
B. The employee does not have a valid payment method.
C. The Payroll Definition does not have a Valid Payment Method assignment.
D. The employee does not have a payroll relationship associated.
Answer: B,D

NEW QUESTION: 3
会社には、20 PB HDFSデータベースを備えた大規模なオンプレミスApache Hadoopクラスターがあります。クラスターは、四半期ごとに約200インスタンスと1 PBずつ成長しています。同社の目標は、Hadoopデータの復元力を有効にし、クラスターノードの損失による影響を制限し、コストを大幅に削減することです。現在のクラスターが実行されます
年中無休で、インタラクティブなクエリやバッチ処理など、さまざまな分析ワークロードをサポートします。
最小の費用とダウンタイムでこれらの要件を満たすソリューションはどれですか？
A. AWS Direct Connectを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
B. AWS Snowballを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。 EMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
C. AWS Snowmobileを使用して、既存のクラスターデータをAmazon S3に移行します。オンプレミスクラスターからの履歴データに基づいて対話型ワークロードを処理するように最初にサイズ設定された永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。マスターノードとコアノードのリザーブドインスタンスとタスクノードのスポットインスタンスを使用してコストを最小化し、Amazon CloudWatchメトリックスに基づいてタスクノードを自動スケールします。同様に最適化されたバッチワークロード用に、ジョブ固有の最適化されたクラスターを作成します。
D. AWS Snowmobileを使用して、既存のクラスターデータをAmazon S3に移行します。現在のクラスターと同様のサイズと構成の永続的なAmazon EMRクラスターを作成します。データをEMRFSに保存します。
リザーブドインスタンスを使用して、コストを最小限に抑えます。四半期ごとにワークロードが増加するにつれて、追加のリザーブドインスタンスを購入し、クラスターに追加します。
Answer: C
Explanation:
Q: How should I choose between Snowmobile and Snowball?
To migrate large datasets of 10PB or more in a single location, you should use Snowmobile. For datasets less than 10PB or distributed in multiple locations, you should use Snowball. In addition, you should evaluate the amount of available bandwidth in your network backbone. If you have a high speed backbone with hundreds of Gb/s of spare throughput, then you can use Snowmobile to migrate the large datasets all at once. If you have limited bandwidth on your backbone, you should consider using multiple Snowballs to migrate the data incrementally.

NEW QUESTION: 4
You are designing a solution that uses Azure Cosmos DB to store and serve data.
You need to design the Azure Cosmos DB storage to meet the following requirements:
* Provide high availability.
* Provide a recovery point objective (RPO) of less than 15 minutes.
* Provide a recovery time objective (RTO) of less than two minutes.
* Minimize data loss in the event of a disaster.
What should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Multiple
For higher write availability, configure your Azure Cosmos account to have multiple write regions.
Box 2: Bounded staleness

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/high-availability
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels#consistency-levels-and-throughput