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NEW QUESTION: 1
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 configure the Fact.Order table.
Which three 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:

Explanation

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.
Step 1: Create a partition function.
Using CREATE PARTITION FUNCTION is the first step in creating a partitioned table or index.
Step 2: Create a partition scheme based on the partition function.
To migrate SQL Server partition definitions to SQL Data Warehouse simply:
Step 3: Execute an ALTER TABLE command to specify the partition function.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-partition

NEW QUESTION: 2
A network engineer is configuring a pair of 6248 Fabric Interconnects, each with dual 10G uplinks to a parent switch. One design requirement is to ensure a specific server is able to use 10G of throughput to the LAN without contention from other servers within the 5108 chassis. Which technology will accomplish this?
A. Unified Ports
B. System OoS Policy
C. Port-Channels
D. LAN Pin Groups
Answer: D

NEW QUESTION: 3
技術者がワイヤレスゲストネットワークを設定しています。最新の変更を適用した後、技術者は、新しいデバイスがもはや名前で無線ネットワークを見つけることができないが、既存のデバイスは依然として無線ネットワークを使用できることを発見する。
このシナリオを引き起こすために技術者が最もよく実装したセキュリティ対策はどれですか？
A. WAP信号出力電力の削減
B. ビーコン間隔が減少した
C. SSIDブロードキャストの無効化
D. RADIUSを使用した802.1Xのアクティブ化
E. MACフィルタリングの実装
Answer: C

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