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NEW QUESTION: 1
When planning IP addresses for the back-end storage network of the OceanStor 9000 which uses IB networking, you must plan two back-end storage IP addresses and one temporary IP address for each node.
A. True
B. False
Answer: A
NEW QUESTION: 2
내부 감사 전문성을 높이기 위해 CAE (Chief Audit Executive)는 비교적 경험이 부족한 동일한 내부 감사 팀을 몇 개월에 걸친 일련의 업무에 배정했습니다. 이 관행은 표준과 일치합니까?
A. 아니요. 팀은 경험이 풍부한 감사자와 경험이 없는 감사 자로 구성되어야 합니다.
B. 예. CAE는 직원의 전문성 개발을 장려하고 있습니다.
C. 예. 이 경험은 전문 기술과 역량을 빠르게 구축 할 것입니다.
D. 아니요. 팀은 계약에 적합한 역량을 집합 적으로 보유해야 합니다.
Answer: D
NEW QUESTION: 3
Azure Data Lake StorageGen2アカウントに大量のセンサーデータが保存されています。ファイルはParquetファイル形式です。
新しいセンサーデータはAzureEventHubsに公開されます。
新しいセンサーデータを既存のセンサーデータにリアルタイムで追加するソリューションを推奨する必要があります。ソリューションは、データセット全体のインタラクティブなクエリをサポートする必要があります。
どのタイプのサーバーを推奨に含める必要がありますか？
A. AzureSQLデータベース
B. Azure Stream Analytics
C. Azure Cosmos DB
D. Azure Databricks
Answer: B
Explanation:
Explanation
Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams.
By outputting data in parquet format into a blob store or a data lake, you can take advantage of Azure Stream Analytics to power large scale streaming extract, transfer, and load (ETL), to run batch processing, to train machine learning algorithms, or to run interactive queries on your historical data.
Reference:
https://azure.microsoft.com/en-us/blog/new-capabilities-in-stream-analytics-reduce-development-time-for-big-da
NEW QUESTION: 4
以下の各ステートメントについて、そのステートメントが正しい場合は「はい」を選択してください。そうでなければ、いいえを選択します。
注：それぞれ正しい選択は1ポイントの価値があります。
Answer:
Explanation:
