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NEW QUESTION: 1
Which activity may be included in project closure?
A. Provide additional user training.
B. Establish ongoing quality and testing strategy.
C. Conduct a disaster recovery test.
D. Review the scope and change requests.
Answer: A
Explanation:
Additional Operation Activities In additional to Quality Management activities, there are other activities recommended in theOperation phase. Depending on the project type and needs, these may include the following:
Provide Post Go-Live Support
Transition of Solution to Support
Review Deliverables against SOW and Agreed Changes
Establish Ongoing Quality and Testing Strategy
Conduct Disaster Recovery Test
-----
- Conduct Performance Tuning and Optimization Ref:http://www.tud.ttu.ee/material/enn/IDU0010/Loeng5CRM/80235A_MSS2010_ENUS_C RM/80235A_MSS2010_ENUS_CRM/MSS2010_ENUS_CRM_05.pdf
NEW QUESTION: 2
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 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。
B. 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。
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。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。
D. 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。
Answer: A
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: 3
You have an Azure DevOps organization named Contoso.
You have 10 Azure virtual machines that run Windows Server 2019. The virtual machines host an application that you build and deploy by using Azure Pipelines. Each virtual machine has the Web Server (IIS) role installed and configured.
You need to ensure that the web server configurations pin the virtual machines is maintained automatically.
The solution must provide centralized management of the configuration settings and minimize management overhead.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation: