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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a Microsoft SQL Server data warehouse with a multi-dimensional data model. You are optimizing the data model across multiple cubes.
You examine the existing data model and observe that each cube contains multiple date dimension tables.
You need to optimize the data model in and across cubes without changing the overall table structure.
What should you use?
A. conformed dimension
B. non-additive measure
C. snowflake schema
D. fact table
E. slowly changing dimension (SCD)
F. star schema
G. dimension table reference relationship
H. semi-additive measure
Answer: A
Explanation:
Explanation
In data warehousing, a conformed dimension is a dimension that has the same meaning to every fact with which it relates. Conformed dimensions allow facts and measures to be categorized and described in the same way across multiple facts and/or data marts, ensuring consistent reporting across the enterprise.
A conformed dimension can exist as a single dimension table that relates to multiple fact tables within the same data warehouse, or as identical dimension tables in separate data marts. Date is a common conformed dimension because its attributes (day, week, month, quarter, year, etc.) have the same meaning when joined to any fact table.

NEW QUESTION: 2
Fabrikamの認証要件を満たすには、ソリューションに何を含める必要がありますか？回答するには、回答領域で適切なオプションを選択します。
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
1
1
0

NEW QUESTION: 3
You administer a SQL Server 200S instance. The instance contains an On-Line Analytical
Processing (OLAP) database along with a dimension table named Customers. The data of the Customers table is updated every hour. The Customers table contains redundant data. You need to conserve the disk space used to store the Customers table. Which compression technology should you use?
A. Windows NITS file system compression
B. Backup compression
C. Row compression
D. Page compression
Answer: D