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NEW QUESTION: 1
企業がオンプレミスシステムをAWSに移行しています。ユーザー環境は、以下のシステムで構成されています。
* VMware上で実行されるWindowsおよびLinux仮想マシン。
* Red Hat Enterprise Linuxを実行している物理サーバー。
会社は、AWSに移行する前に次の手順を実行できるようにしたいと考えています。
*オンプレミスシステム間の依存関係を識別します。
*システムをアプリケーションにグループ化して、移行計画を作成します。
* Amazon Athenaを使用してパフォーマンスデータを確認し、Amazon EC2インスタンスのサイズが適切であることを確認します。
これらの要件はどのように満たすことができますか？
A. 各オンプレミスシステムにAWS Application Discovery Service Discovery Agentをインストールします。 Discovery Agentが一定期間データを収集できるようにします。
B. AWS Application Discovery Service Discovery Agentを物理的なオンプレミスサーバーにインストールします。 AWS Application Discovery Service Discovery ConnectorをVMware vCenterにインストールします。 Discovery Agentが一定期間データを収集できるようにします。
C. AWS Application Discovery Service Discovery Connectorを各オンプレミスシステムとVMware vCenterにインストールします。 Discovery Connectorが1週間データを収集できるようにします。
D. AWS Application Discovery Serviceインポートテンプレートに、オンプレミス構成管理データベース（CMDB）からの情報を入力します。完成したインポートテンプレートをAmazon S3にアップロードし、データをApplication Discovery Serviceにインポートします。
Answer: C
NEW QUESTION: 2
According
to the supply management, one of the most useful ways to develop is to begin with an inventory report listing all items in descending order of dollar spent.
A. Top-down classification
B. Slope classification
C. Gradient classification
D. ABC classification
Answer: D
NEW QUESTION: 3
You plan to ingest streaming social media data by using Azure Stream Analytics. The data will be stored in files in Azure Data Lake Storage, and then consumed by using Azure Databricks and PolyBase in Azure SQL Data Warehouse.
You need to recommend a Stream Analytics data output format to ensure that the queries from Databricks and PolyBase against the files encounter the fewest possible errors. The solution must ensure that the files can be queried quickly and that the data type information is retained.
What should you recommend?
A. Parquet
B. CSV
C. JSON
D. Avro
Answer: D
Explanation:
The Avro format is great for data and message preservation.
Avro schema with its support for evolution is essential for making the data robust for streaming architectures like Kafka, and with the metadata that schema provides, you can reason on the data. Having a schema provides robustness in providing meta-data about the data stored in Avro records which are self-documenting the data.
References:
http://cloudurable.com/blog/avro/index.html