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NEW QUESTION: 1
참고 :이 질문은 동일한 유사한 답변 선택을 사용하는 일련의 질문 중 일부입니다. 답변 선택은 시리즈의 둘 이상의 질문에 대해 정확할 수 있습니다. 각 질문은이 시리즈의 다른 질문과 무관합니다. 질문에 제공된 정보 및 세부 정보는 해당 질문에만 적용됩니다. Windows Server 2016을 실행하는 Server1이라는 Hyper-V 호스트가 있습니다. Server1에는 단일 VHDX 파일을 사용하는 VM1이라는 가상 컴퓨터가 있습니다. VM1은 다음 표에 나와 있습니다.
VM1을 가상 머신 템플릿으로 사용하여 쉴드 가상 머신 배포 VM1을 사용하여 쉴드 가상 머신을 배포 할 수 있는지 확인해야 합니다. 무엇을 실행해야 합니까?
A. Set-VHD cmdlet
B. Mount-VHD cmdlet
C. Set-VM cmdlet
D. Optimize-VHD cmdlet
E. Set-VMHost cmdlet
F. Install-WindowsFeature cmdlet
G. Diskpart 명령
H. Set-VMProcessor cmdlet
Answer: G
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
* Partition the Fact.Order table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Use a granularity of two days.
B. Create 2,557 partitions.
C. Create 17,520 partitions.
D. Create 730 partitions.
Answer: B
Explanation:
Explanation
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
Maximize the performance during the data loading process for the Fact.Order partition.
NEW QUESTION: 3
Windows 10を実行するComputer1という名前のコンピューターがあります。
Computer1で、次の図に示すようにVPN接続を作成します。
企業ネットワークには単一のIPサブネットが含まれています。
ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完了する回答の選択肢を選択します。
注:それぞれの正しい選択は1ポイントの価値があります。
Answer:
Explanation:
Explanation