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NEW QUESTION: 1
You create a SQL Server 2008 Analysis Services (SSAS) solution. You have a table named Orders that contains the following columns: OrderKey Shipper OrderAmount You create a dimension named DimOrders from the Orders table. You set the OrderKey as a key column and the Shipper column as an attribute. You create a measure group named FactOrders from the Orders table. You need to create a dimension relationship to ensure that the OrderAmount column can be aggregated by the Shipper column. What should you do?
A. Create a fact dimension relationship between the DimOrders dimension and the FactOrders measure group.
B. Create a regular dimension relationship between the DimOrders dimension and the FactOrders measure group. Set the Granularity attribute to Shipper and the measure group columns to OrderAmount.
C. Set the relationship between the DimOrders dimension and the FactOrders measure group to No Relationship.
D. Create a regular dimension relationship between the DimOrders dimension and the FactOrders measure group. Set the Granularity attribute to OrderKey and the measure group columns to OrderAmount.
Answer: A
NEW QUESTION: 2
A. Option C
B. Option A
C. Option D
D. Option B
Answer: C
NEW QUESTION: 3
ドラッグアンドドロップの質問
次の一般的なソフトウェアテスト方法を、主な焦点と目的に合わせてください。
各テスト方法を、対応するテスト目標のセットの横にドラッグします。
Answer:
Explanation:
NEW QUESTION: 4
Which three techniques are applied to support Failover?
A. OBIEE Clustering
B. WebLogic Clustering
C. Vertical Scaleout
D. Universal Installer > Scale Out BI System option
Answer: A,B,D
Explanation:
A: OBIEE 11g is centred on WebLogic Server as the underlying application server architecture.
B: If you want to scale out this infrastructure, you would typically run the OBIEE 11g installer on a second server, and instead of choosing to do a new install, you'd choose to instead scale out the existing BI domain.
C: OBIEE Clustering - Approach of Oracle BI Server Load balancing/Failover