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Question: 1 Which of the following is the most appropriate element of Business Intelligence architecture to discuss with end users? A. Metadata design B. Data warehouse design C. Visualization requirements D. Data propagation methodology Answer: C Question: 2 Which of the following metadata approaches facilitates the integration of tools from multiple vendors with the most flexibility? A. Centralized API approach B. Decentralized API approach C. Centralized or repository approach D. Decentralized or interchange approach Answer: D Question: 3 Which of the following is the primary METADATA task of a data modeling tool? A. Maintain entity relationships B. Maintain scheduling information C. Maintain data definition language (DDL) D. Maintain metadata Interchange Language (MIL) Answer: A Question: 4 Which of the following ideally determines when a data warehouse is scheduled to be updated? A. Calendar events B. System requirements C. Business requirements D. Volatility of operational data store Answer: C Question: 5 Which of the following is a data cleansing process? A. Summarizing data B. Building dimensions C. Extracting only valid data D. Checking referential integrity Answer: D Question: 6 Page 1 of 23

A retail chain would like to do more accurate sales projections based on its large volumes of historical sales data. It has tracked store sales, but would like to identify sales patterns and buying characteristics. Which IBM Business Intelligence product is best suited for this analysis? A. DB2 OLAP Server B. DB2 XML Extender C. DB2 Spatial Extender D. DB2 Intelligent Miner Answer: D Question: 7 A company has recently implemented a data warehouse which consolidates data from multiple branch offices. What benefit can be realized? A. Eliminates the need for a datamart B. Facilitates the correction of errors at the branch office C. Eliminates the need for branch operational system reports D. Provides a consistent corporate view of business information Answer: D Question: 8 Which of the following is a key benefit of storing attribute definitions as metadata? A. Reduces overall storage requirements B. Significantly enhances load time performance C. Allows for bi-directional update of operational data D. Allows data load rules to be shared across multiple tools Answer: D Question: 9 Which of the following is the most important factor when defining an OLAP cube? A. Number of measures B. Number of dimensions C. Number of source data transactions D. Number of referential integrity constraints Answer: B Question: 10 An international marketing executive uses an OLAP query which displays sales information by country. What is the OLAP feature that would allow the executive to breakdown the sales by city? A. Pivot B. Roll up C. Drill down D. Dynamic calculation Answer: C Question: 11 Page 2 of 23

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