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NEW QUESTION: 1
DRAG DROP
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
질문에 답하려면 아래 정보를 참조하십시오.
대규모 다국적 조직이 정보 기술 (IT) 조직의 일부를 타사 제공 업체의 시설에 아웃소싱 하기로 결정했습니다. 이 공급자는 조직에서 사용하는 몇 가지 중요한 고객 기반 응용 프로그램의 설계, 개발, 테스트 및 지원을 담당합니다.
조직은 제 3 자의 물리적 보안 통제가 마련되어 있는지 확인해야 합니다.
A. 언제든지 조직 직원의 액세스를 허용합니다.
B. 원래 컨트롤 보다 더 엄격합니다.
C. 민감한 정보에 대한 액세스를 제한 할 수 있습니다.
D. 제 3 자의 하청 업체는 액세스 할 수 없습니다.
Answer: C
NEW QUESTION: 3
What two conditions affect content caching configuration in a WebSEAL environment? (Choose two.)
A. The content caching mechanism does not cache responses to requests over junctions configured with the -c and -C options.
B. By default, content caches are not defined at installation.
C. Content caching occurs only when a cache is not defined in the Policy Server configuration file.
D. The content caching mechanism does not cache responses to requests containing query strings.
E. The content caching mechanism cache responses to requests over junctions configured with -boptions.
Answer: A,D